The Telus Data Engineer interview guide, interview questions, salary data, and interview experiences.

Telus Data Engineer Interview Guide

Getting ready for an Data Engineer interview at Telus? The Telus Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Telus Data Engineer roles.</li>
<li>Gain insights into the Data Engineer interview process at Telus.</li>
<li>Practice real Telus Data Engineer interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Telus Data Engineer interview.


Getting ready for an Data Engineer interview at Telus? The Telus Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Telus Data Engineer roles.
- Gain insights into the Data Engineer interview process at Telus.
- Practice real Telus Data Engineer interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Telus Data Engineer interview.
        

Overview

What Telus Looks for in a Data Engineer

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Telus Data Engineer Interview Process

Interview Tips

You are tasked with keeping track of a customer’s addresses in your database.

However, customer’s addresses change whenever they move. We want to keep track of their moving history as well as the person that moves in afterwards.

How would you create or modify a schema to keep track of these address changes?

Create a schema to keep track of customer address changes

Address Schema

Data Modeling

You work as a data engineer for a city-wide bicycle rental company. The company wants to predict future bicycle rental volumes using historical data collected from multiple sources, such as station logs, weather files, and event schedules. You are given access to raw source files that are updated daily.

How would you design an end-to-end data pipeline to prepare and serve data for downstream predictive modeling of bicycle rental demand?

Design an end-to-end data pipeline to process and serve data for predicting bicycle rental volumes.

Bicycle Rental Data Pipeline

Batch & Stream Processing

Let’s say Accenture has a data pipeline that ingests raw sales data from multiple retail clients, processing 10 million records each night to generate daily sales dashboards for client teams. For the past week, the pipeline has been consistently failing at the data transformation stage.

How would you go about systematically diagnosing and resolving the root cause of these failures?

How would you systematically diagnose and resolve repeated failures in a nightly data transformation pipeline?

Pipeline Transformation Failures

Telus Data Engineer Interview Questions

Job Description:Senior Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Senior Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 3 years of experience in application development (Internship experience does not apply) At least 1 year of experience in big data technologies Preferred Qualifications: 5years of experience in application development including Python, SQL, Scala, or Java 2years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 2year experience working on real-time data and streaming applications 2years of experience with NoSQL implementation (Mongo, Cassandra) 2years of data warehousing experience (Redshift or Snowflake) 3years of experience with UNIX/Linux including basic commands and shell scripting 2years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Senior Data Engineer Richmond, VA: $144,200 - $164,600 for Senior Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description:Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 4 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: 7years of experience in application development including Python, SQL, Scala, or Java 4years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4year experience working on real-time data and streaming applications 4years of experience with NoSQL implementation (Mongo, Cassandra) 4years of data warehousing experience (Redshift or Snowflake) 4years of experience with UNIX/Linux including basic commands and shell scripting 2years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $193,400 - $220,700 for Lead Data Engineer Richmond, VA: $175,800 - $200,700 for Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Werken aan morgen, met de beste technologie van nu. Werken bij LINKIT gaat om grenzen verleggen. Ontdekken, ontwikkelen, expertise delen en continu zoeken naar verbetering. We combineren lange termijn strategisch denken, diepgaande enterprise-ervaring en een mensgerichte aanpak om klanten te helpen hun bedrijfsprocessen te transformeren en te domineren in hun industrie. Elke dag werken meer dan 1.000 van onze mensen uit 20+ landen aan kritieke technologie bij bedrijven als Defensie, KLM en ASML. Groot genoeg voor impact, klein genoeg om verbonden te blijvenDe digitale revolutie draait om één ding: data, en wel in ongekende hoeveelheden. Als Senior Python Engineer bij LINKIT sta je aan het roer van deze transformatie. Wij bouwen de geavanceerde data-architecturen die realtime informatievoorziening mogelijk maken. Dit ga jij doen als Phyton Engineer bij LINKITJe werkt aan complexe, data-gedreven oplossingen voor toonaangevende klanten. Zo ontwikkelen we bij KLM een realtime applicatie voor vrachtdata-analyse op GCP met Kafka en Spark. Voor KNMI beheren we het centrale AWS-cloudplatform, en bij Audax begeleiden we de migratie naar InfluxDB voor realtime verwerking van energieprijzen. Binnen ons team van ruim 20 Data Engineers werk je met de nieuwste technologieën aan projecten die écht het verschil maken. Concreet ga je:<ul><li>Schaalbare data platforms en pipelines ontwerpen en bouwen in o.a. Python, Java en Scala.</li><li>Complexe datasets transformeren naar bruikbare informatie voor besluitvorming.</li><li>Werken met moderne tools zoals Hadoop, Spark, Airflow en cloudoplossingen (GCP, AWS, Azure).</li><li>Data-architecturen optimaliseren die kritieke bedrijfsprocessen ondersteunen.</li><li>Nauw samenwerken met data science teams en anticiperen op hun technische behoeften.</li><li>Bouwen aan robuuste, toekomstbestendige oplossingen die direct impact maken.</li></ul> Dit neem jij mee om impact te makenGezien de complexiteit van onze data-projecten en de schaal waarop we opereren, zoeken we een combinatie van technische kennis en hands-on ervaring. Als Phyton Engineer breng je het volgende mee:<ul><li>Minimaal 2 jaar ‘hardcore’ Data Engineering ervaring, bij voorkeur aangevuld met ML- en AI-integratie of de wens om dat te leren.</li><li>Een analytische mindset met slimme, creatieve oplossingen voor complexe data uitdagingen.</li><li>Je beheerst Python en/of Scala en hebt ook goede kennis van SQL.</li><li>Je deelt graag je kennis en staat open voor feedback, of het nu gaat over data-architecturen of de toekomst van AI.</li><li>Je bent thuis in cloud platforms (Azure, AWS, GCP) en data-tools als Airflow, Databricks, Spark voor het bouwen van ML-ready infrastructuren.</li></ul>Twijfel je omdat je niet aan alles voldoet? Laat dat je niet tegenhouden en solliciteer vooral! We beloven je betekenisvol werk met collega’s die bij je passenWe zijn gewone mensen, makkelijk in de omgang en voelen ons net zo thuis in het team van onze klanten als in ons eigen kantoor. We zijn een hechte groep van getalenteerde mensen die samen ons bedrijf opbouwen en runnen. Bij LINKIT bouw je niet alleen aan de toekomst van onze klanten, maar ook aan die van onszelf. Hier maak je deel uit van een prijswinnende bedrijfscultuur. Daarnaast bieden wij:<ul><li>Bruto salaris tot €6.000 per maand (o.b.v. 40 uur, afhankelijk van kennis en ervaring), exclusief 8% vakantiegeld.</li><li>Pensioenopbouw bij Zwitserleven waarbij we 50% van de premie betalen of extra salaris als je kiest om niet deel te nemen.</li><li>25 vakantiedagen op basis van een fulltime dienstverband.</li><li>Elektrische leaseauto of mobiliteitsvergoeding.</li><li>Telefoon en de nieuwste Microsoft Surface of Macbook.</li><li>Een netto maandelijkse thuiswerkvergoeding.</li><li>Jaarlijkse winstdeling – een traditie die we al 8 jaar trots hooghouden.</li><li>Persoonlijke coaching via ons unieke mentor-netwerk en ongelimiteerd trainingsbudget voor je professionele ontwikkeling.</li><li>Bij LINKIT werk je 40 uur, waarvan gemiddeld 36 uur op projecten. De overige tijd is gereserveerd voor persoonlijke ontwikkeling, innovatie en het delen van kennis tijdens onze clubdagen.</li><li>Bijzondere extra’s zoals onze 2-wekelijkse clubdagen, jaarlijkse wintersport, toegang tot een wellbeing platform, Wendy’s dagelijkse verse lunch ♡ en nog veel meer….</li></ul> Maak kennis met ons teamWij nodigen je graag uit voor een korte kennismaking. Wil je eerst nog meer weten over de functie-inhoud of over onze projecten? Neem gerust contact op met Dineke via 06-38324948 of dineke.mulder@linkit.nl.

<img src="https://counter.adcourier.com/amFkZWxiZXJnLjMxOTE5LjI3MjNAdW5mY3UuYXBsaXRyYWsuY29t.gif">Data Engineer with 6+ years of experience in building data intensive applications, tackling challenging architectural and scalability problems with some exposure to gathering insights from data by leveraging various BI tools like Tableau, Power BI, MS SQL Server, and OBIEE (Oracle Business Intelligence Enterprise Edition). Demonstrate strong working knowledge with data migration and data warehouse and display excellent communication skills to be comfortable enough to interact with business areas to gather requirements and deliver BI solutions. This position is expected to be hybrid. NYC Salary Range - $105,000 - $140,000 annually; compensation is commensurate to geographic location. <ul><li>Regardless of seniority or role, uphold UNFCU's mission, core values, and guiding principles by providing an exceptional service experience to colleagues and members alike through consistent demonstration of our service excellence behaviors.</li><li>Communicate well and work closely with team members including Analysts, Product Managers, and business users to gather requirements, troubleshoot, modify, and enhance existing Data assets.</li><li>Develop backend applications in Database using TSQL/PLSQL in Microsoft SQL Server and Oracle Database. Write complex code in stored procedures or PL SQL.</li><li>Demonstrate strong exposure to relational databases technologies like Database, Data Warehouse, Data Lakes and Data Lake House.</li><li>Troubleshoot to find root cause with data accuracy and/or performance related issues and find solutions to fix it by creating indexes, transaction isolation levels and optimizing code.</li><li>Resolve database performance issues by looking at query plans, create appropriate indexes, resolve dead locks and create table hints.</li><li>Design, develop, deploy, and maintain reports on SSRS and/or OBIEE.</li><li>Evaluate, design, propose, and secure approval for all design and implementation.</li><li>Work with multiple environments for development, testing, and deploying in production.</li><li>Develop, implement, and maintain change control and testing processes for modifications to databases.</li><li>Follow the organization's data protection and network securities and antivirus policies.</li><li>May need to demonstrate familiarity with dimensional models such as SSAS cube and tabular model.</li><li>May need to demonstrate knowledge of some shell scripting language.</li><li>Stay abreast of industry trends, and attend training, conferences and seminars according to organization's business requirements.</li><li>Participate in Credit Union training and development programs.</li><li>Perform additional responsibilities as assigned.</li><li>Ensure compliance with federal and state laws and regulations and UNFCU's Code of Ethics & Business Conduct.</li></ul> <ul><li>Bachelor's degree in Engineering or Computer Science</li><li>6+ years of experience in Microsoft SQL Server </li><li>6+ years of experience in ETL tools like Microsoft SSIS</li><li>3 years software development experience on BI Platform like - SSRS, Power BI, TableaU</li><li>Hands on experience using Microsoft SQL Server</li><li>Data migration and Data warehousing with skills on issues that are complex and evaluative in nature where troubleshooting may call for referencing an advanced knowledge base</li><li>Developing Business Intelligence Solutions by creating Dashboards and Reports </li><li>Experience in the following areas:<ul><li>Data Migration from various systems to SQL Server Database</li><li>Building Data Marts using dimensional models is a plus</li><li>Oracle PL/SQL </li><li>Maintaining code/scripts in TFS for multiple environments</li><li>DBA activities like database backup and restore</li></ul></li><li>Strong analytical ability/problem solving skills </li><li>Ability to work independently and within a team environment to complete assigned projects in a timely manner </li><li>Strong interpersonal, verbal and written communication skills</li><li>Able to multi-task, taking on several initiatives at once</li></ul>PDN-a073bafb-da81-4d5b-989f-920ae08016b5

Role Overview:We’re looking for experienced AI data engineers skilled in Python to collaborate with one of the world’s top Large Language Model (LLM) companies. Your work will directly help improve how AI models think, reason, and code. In this role, you’ll generate and evaluate high-quality data used to fine-tune and benchmark LLMs. You’ll design prompts, analyze model outputs, write Python solutions, and provide detailed feedback that guides model improvements. This is a unique opportunity to contribute to the next generation of AI systems—without needing to train or build the models yourself. You’ll:<ul><li>Write and maintain clean, efficient Python code for AI training and evaluation.</li><li>Evaluate and compare model responses as part of RLHF (Reinforcement Learning with Human Feedback).</li><li>Create and refine datasets for SFT (Supervised Fine-Tuning).</li><li>Develop reasoning-based feedback to enhance model accuracy and alignment.</li><li>Collaborate with cross-functional teams to ensure high-quality data and evaluations.</li></ul> Requirements:<ul><li>3+ years of strong Python development experience.</li><li>Solid understanding of testing, debugging, async programming, and software best practices.</li><li>Excellent written and verbal communication in English.</li></ul> Offer Details:<ul><li>Commitment: Minimum 20 hrs/week (options for 20, 30, or 40 hrs).</li><li>Time Zone: 4-hour overlap with PST.</li><li>Contract: 1-month contractor role (no paid leave).</li><li>Evaluation: 2 interview rounds (~75 mins total).</li><li>Start: Expected next week.</li></ul> Perks:<ul><li>100% remote work.</li><li>Collaborate with leading LLM and AI research teams.</li><li>Work on real-world AI challenges shaping the future of intelligent systems.</li></ul> About Turing:Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Know amazing talent? Refer them at <a>turing.com/referrals</a>, and earn money from your network.

Job Description:Lead Data Engineer (Intelligent Foundations and Experiences) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Intelligent Foundations & Experiences (IFX) is a powerful collective of horizontal technology organizations that are driving Capital One's real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 4 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: 7years of experience in application development including Python, SQL, Scala, or Java 4years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4year experience working on real-time data and streaming applications 4years of experience with NoSQL implementation (Mongo, Cassandra) 4years of data warehousing experience (Redshift or Snowflake) 4years of experience with UNIX/Linux including basic commands and shell scripting 2years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $193,400 - $220,700 for Lead Data Engineer Plano, TX: $175,800 - $200,700 for Lead Data Engineer Richmond, VA: $175,800 - $200,700 for Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Data Engineer Position Senior Data Engineer to lead and drive forward complex and high-impact data initiatives. Summary of the Role Howden Group Services is expanding its internal data engineering capability and is looking for a highly experienced Senior Data Engineer with deep expertise in Databricks and Azure data services. The ideal candidate will have a strong background in designing and delivering scalable, metadata-driven data solutions, particularly in metadata ingestion and orchestration processes. The role requires a strategic thinker who can lead technical design discussions, drive best practices, and mentor junior engineers. The successful candidate will be comfortable managing multiple deliverables, working closely with stakeholders, and implementing robust data solutions to enable business insights and operational efficiencies. Responsibilities The successful candidate will:<ul><li>Lead the development of metadata ingestion frameworks and orchestration processes.</li><li>Design and implement scalable and reusable metadata-driven services to optimise data pipelines.</li><li>Architect and maintain robust data solutions using Databricks and Azure services (such as Azure Data Factory, Synapse, and ADLS).</li><li>Establish and enforce best practices for data engineering, CI/CD pipelines, and DevOps for data.</li><li>Collaborate with business stakeholders, data scientists, and analysts to understand data needs and translate them into efficient engineering solutions.</li><li>Optimise and enhance existing data pipelines for performance, reliability, and scalability.</li><li>Drive the adoption of data governance and security best practices.</li><li>Lead the design and maintenance of ETL processes </li><li>Mentor and support junior engineers, sharing best practices and driving a culture of continuous improvement.</li></ul> Requirements Candidates should have:<ul><li>5+ years of experience in data engineering with a strong focus on Databricks (SQL & PySpark).</li><li>Extensive experience with Azure data services, including ADF, Synapse, ADLS, and Azure Functions.</li><li>Proven track record of designing and implementing metadata-driven data pipelines.</li><li>Deep expertise in orchestration and data workflow automation e.g. Airflow, DBT.</li><li>Strong understanding of CI/CD practices for data engineering.</li><li>Experience with infrastructure as code (Terraform, Bicep, or ARM templates) (preferred).</li><li>Solid development and coding standards, with experience in software engineering best practices.</li><li>Experience leading technical design discussions and driving architectural decisions.</li><li>Strong stakeholder management skills, with the ability to translate business requirements into data solutions.</li><li>Knowledge of data governance, security, and compliance best practices.</li><li>Experience working with insurance data (not essential, but preferred).</li></ul> This role is an excellent opportunity for an experienced Data Engineer who wants to take on a leadership role, influence best practices, and drive high-impact data initiatives in a modern Azure-based data ecosystem.

Decskill was founded in 2014 as an IT Consulting Company and their main mission is to delivery value through the knowledge. We enable companies to meet the chalenges of digital world by providing our clients with business models that ensure technological capacity, flexibility and agility. We are more than 500 consultants with offices in Lisbon, Porto and Madrid. DECSKILL operates in 3 main areas:<ul><li>DECSKILL TALENT, through which we provide our clients with an extension to their IT teams;</li></ul> <ul><li>DECSKILL BOOST, through which we provide our client with software development models to increase capacity and optimize Time-to-Market, where we create and manage teams that deliver according to their needs, at the desired speed;</li></ul> <ul><li>DECSKILL CONNECT, through which we provide our client with consulting services, as well as the implementation and management of information technology infrastructures.</li></ul> Our practice results in the creation of value for our customers, either by delivering qualified and value-added services, or through highly qualified and motivated professionals, as well as technology solutions that allow us to operate and transform the business of our customers. We are searching for a looking for Data Engineer! Responsibilities:<ul><li>Leverage large volumes of data from internal sources.</li><li>Develop, maintain, and support data pipelines.</li><li>Understand and be the point of contact for the business and assess its needs.</li><li>Ensure architecture meets business requirements.</li><li>Recommend ways to efficiently provide quality data and added value.</li><li>Communicate technical information to non-technical stakeholders, including data analysts, product managers, and business leaders.</li><li>Prioritize and manage multiple projects simultaneously, meeting deadlines and delivering high-quality results.</li></ul> Requirements:<ul><li>Academic background in Engineering, Economics, Computing, Mathematics, Statistics or related fields.</li><li>3+ years of experience in data engineering, with a strong background in data architecture.</li><li>Availability to work in the hybrid model or in person in the Lisbon or Porto office.</li><li>Professional experience in any data visualization tool such as Tableau or Power BI.</li><li>Professional experience in data analysis with programming, preferably Python (Pandas).</li><li>Proficiency in SQL.</li><li>Ability to analysze, synthetize and simplify.</li><li>Knowledge of descriptive statistics and hypothesis testing is a plus.</li><li>Knowledge in Big Data technology such as Pyspark, Presto and Airflow is a plus.</li><li>Knowledge of Power Query and DAX is a plus.</li><li>Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams,</li><li>Strong organizational skills, with the ability to prioritize multiple projects and meet deadlines</li><li>Good knowledge of English.</li></ul> If you’re interested in this job, please send your CV to cesaltina.abreu@decskill.com with reference “CA/ Data Engineer”. Thank You! ???? Decskill is committed to equality and non-discrimination with all our talents. We recruit and promote talent, based on diversity and inclusion, regardless of age, gender, ethnicity, race, nationality or any other form of discrimination incompatible with the dignity of the human being.

Job Description:Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 6 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree 9years of experience in application development including Python, SQL, Scala, or Java 4years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 5years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4year experience working on real-time data and streaming applications 4years of experience with NoSQL implementation (Mongo, Cassandra) 4years of data warehousing experience (Redshift or Snowflake) 4years of experience with UNIX/Linux including basic commands and shell scripting 2years of experience with Agile engineering practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $225,400 - $257,200 for Sr. Lead Data Engineer Plano, TX: $204,900 - $233,800 for Sr. Lead Data Engineer Richmond, VA: $204,900 - $233,800 for Sr. Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description:The Opportunity Join our dynamic team as a Data Engineer - Corporate Technology Data Engineering & Analytics, where you'll play a pivotal role in driving the execution of our data and technology strategy. This role is crucial in driving digital transformation and operational efficiency across Investment Management. As part of this role, you will engage in building data solutions including streaming and batch pipelines, data marts & data warehouse. You will be responsible for establishing robust data collection and processing pipelines to fulfill Investment Management business requirements. The Team You'll be an integral part of our esteemed Corporate Technology Team, focused on Data Engineering & Analytics. Our team operates on a global scale, driving innovation and excellence across diverse areas of expertise. As a Data Engineer, you'll play a critical role in high impact Corporate Technology Investment Initiatives, ensuring alignment with organizational objectives and driving impactful outcomes. This is an opportunity to collaborate closely with Corporate Technology Data and Analytics team and Investment management business stakeholders. Our team thrives on collaboration, innovation, and a shared commitment to excellence. Together, we're shaping the future of technology within our organization and making a lasting impact on a global scale. Join us and be part of a dynamic team where your contributions will be valued and your potential unleashed. The Impact:Design, build, and measure complex ELT jobs to process disparate data sources and form a high integrity, high quality, clean data asset. Executes and provides feedback for data modeling policies, procedure, processes, and standards. Assists with capturing and documenting system flow and other pertinent technical information about data, database design, and systems. Develop comprehensive data quality standards and implement effective tools to ensure data accuracy and reliability.Collaborate with various Investment Management departments to gain a better understanding of new data patterns.Collaborate with Data Analysts, Data Architects, and BI developers to ensure design and development of scalable data solutions aligning with business goals. Translate high-level business requirements into detailed technical specs. The Minimum QualificationsBachelor's degree in Computer Science, Engineering, Information Systems or related technical field.8years of experience with data analytics, data modeling, and database design. 5years experience with ELT methodologies and tools. 5years experience in designing, developing, tuning and troubleshooting SQL. 3years of coding and scripting (Python, Java, Scala) and design experience. 2years of experience with Spark framework. The Ideal QualificationsKnowledge of Informatica Power center and Informatica IDMC. Knowledge of distributed, column- orientated technology to create high-performant database technologies like - Vertica, Snowflake. Strong data analysis skills for extracting insights from financial dataProficiency in reporting tools (e.g., Power BI, Tableau). Domain knowledge of Investment Management operations including Security Masters, Securities Trade and Recon Operations, Reference data management, Pricing. Familiarity with regulatory requirements and compliance standards in the investment management industry.Experience with IBOR's such as Blackrock Alladin, CRD, Eagle STAR (ABOR), Eagle Pace, and Eagle DataMart. Familiarity with investment data platforms such as GoldenSource, FINBOURNE, NeoXam, RIMES, and JPM Fusion.Strong analytical and problem-solving abilities.Exceptional communication and interpersonal skills.Ability to influence and motivate teams without direct authority.Excellent time management and organizational skills, with the ability to prioritize multiple initiatives. #LI-RK1MassMutual is an equal employment opportunity employer. We welcome all persons to apply.If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

Question	Topic	Difficulty	Ask Chance
Address Schema	Data Modeling	Medium	Very High
Bicycle Rental Data Pipeline	Batch & Stream Processing	Medium	Very High
Pipeline Transformation Failures	Batch & Stream Processing	Medium	High