The Apex technology group Data Engineer interview guide, interview questions, salary data, and interview experiences.

Apex technology group Data Engineer Interview Guide

Getting ready for an Data Engineer interview at Apex technology group? The Apex technology group Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Apex technology group Data Engineer roles.</li>
<li>Gain insights into the Data Engineer interview process at Apex technology group.</li>
<li>Practice real Apex technology group 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 Apex technology group Data Engineer interview.


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

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

Overview

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.

Apex technology group Data Engineer Interview Process

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

You are given a dictionary with a key-value of <code>{string: number}</code> where values in the dictionary could be duplicates. You are required to extract the unique values from the dictionary where the value occurred only once.

Return a list of values where they occur only once.

Note: You can return the values in any order.

Input:

<pre tabindex="0" class="chroma"><code>dictionary = {&#34;key1&#34;: 1, &#34;key2&#34;: 1, &#34;key3&#34;: 7, &#34;key4&#34;: 3, &#34;key5&#34;: 4, &#34;key6&#34;: 7}
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>find_unique_values(dictionary) -&gt; [3,4]

#Only 3 and 4 occurred once.
</code></pre>

Dictionary Unique Values

You’re tasked with designing a database system for Swipe Inc., a company that manages payments for software developers. Swipe manages a set of APIs so developers can abstract payment processes for their web service and transfer control over to Swipe’s APIs to manage payment security and finance handling (contacting credit card providers, etc.)

Your database system should store a collection of API keys with their attributes, as shown in the example below:

<pre tabindex="0" class="chroma"><code>{
 &#34;API_key&#34;:{
 &#34;Transaction_list&#34;:{
 &#34;User_ID&#34;:{
 &#34;Name&#34;:{
 &#34;f_name&#34;: 
 &#34;l_name&#34;: 
 }
 &#34;Card_Details&#34;:{
 &#34;Bank&#34;:
 &#34;Card_No&#34;:
 &#34;Expiry&#34;:
 &#34;CV&#34;:
 } 
 }
 }
 &#34;Curr_balance&#34;:
 }
}
</code></pre>

What are the functional and non-functional requirements for this database?

Determine the requirements for designing a database system to store payment APIs

Swipe Payment API

Apex technology group Data Engineer Interview Questions

The Data Engineer designs and maintains scalable data pipelines and infrastructure for real-time analytics, ensuring data quality and security. The Data Engineer will collaborate with cross-functional teams, optimize performance, and innovate through automation. Roles and Responsibilities:<ul><li>Build and Optimize Data Pipelines: Analyze and organize raw data from various internal and external sources. Design, develop, and manage scalable, high-performance and resilient data pipelines that process, transform, and make data accessible for real-time analytics and reporting.</li><li>Data Infrastructure Development: Design, build, and maintain data infrastructure to ensure data is reliable, accessible, and secure for various applications and stakeholders. Implement lake-house architecture.</li><li>Data Integration: Analyze business use case, perform data profiling and implement data transformations required for curating raw data into AI/ML and BI ready data.</li><li>Streaming & Batch Processing: Build streaming and batch data pipelines that are reusable, fault-tolerant and scalable.</li><li>Data Quality & Governance: Implement data integrity validations and data quality checks for ensuring accuracy, consistency, and completeness across all datasets.</li><li>Collaboration & Cross-Functional Partnerships: Collaborate with platform engineers, data analysts, platform engineers and business stakeholders to define and implement data requirements and deliver end-to-end solutions.</li><li>Data Warehouse Design: Design, implement, and optimize data lake, data warehouse and data mart to meet analytics and reporting needs. </li><li>Innovation & Automation: Identify opportunities to automate data workflows, streamline processes, and introduce best-in-class tools and frameworks that enhance productivity and efficiency.</li><li>Performance Tuning: Continuously monitor and tune data pipelines and infrastructure for optimal performance, scalability, and cost-efficiency.</li></ul> Required Skills:<ul><li>Experience: 5 to 10 years of experience building and maintaining enterprise-level data applications on distributed systems at scale.</li><li>Programming Skills: Expert proficiency in SQL, Python or similar language for data processing and automation. Experience building semantic processes for distributed data applications.</li><li>Data Pipeline: Experience in building scalable and resilient ELT data pipelines using modern ELT tools like DBT, Azure, Airflow, Fivetran or similar. Knowledge of streaming platforms like Kafka, Spark or similar.</li><li>Data Lake & Warehouse: Experience with cloud-based data platforms like Snowflake. Advanced proficiency with SQL, writing complex queries and optimizing performance. Familiar with dimensional and party data models.</li><li>Data Governance: Knowledge of data governance practices, including RBAC, RLS, data masking, data lineage and compliance with regulatory standards (e.g., GDPR, HIPAA). Experience with data governance tools such as Datahub or Collibra.</li><li>Automation & DevOps: Expertise in CI/CD pipelines with tools such as GitHub Actions, Jenkins, or AWS CodePipeline and containerization (Docker, Kubernetes) to automate and manage data infrastructure. Experience in implementing observability using tools such as Prometheus, Grafana, and AWS CloudWatch. Automated testing frameworks (e.g., JUnit, PyTest).</li></ul>

We're working with a multi-manager hedge fund managing over 10BN, who employs data teams to support trading pods; supporting their strategy development with data driven tools and platform. This data driven ethos requires them to hire a Data Engineering Lead to build infrastructure for new Quant Researchers in multiple pods. Specifically, these engineers will be building pipelines and platforms for quant research data sets. Stack: Python, AWS, S3, ETL, SQL They need an excellent Lead Engineer with a passion for data, and somehow who can partner with investment staff to enable them to maximize the usability of these applications. If you would like to join a high performing tech driven trading firm, and get exposure to world class technologists and traders, then please do apply.

Job Title: Sr Data Engineer Location: San Francisco (Financial District) – Onsite Tuesday, Wednesday, Thursday The Company:Headquartered in San Francisco, this investment firm is one of the leading pure-play investors with over $45 billion in AUM. They are expanding their data analytics capabilities to better service their firm and research teams with robust market insights. Platform / Stack:You will work with technologies that include Azure Data Factory, SQL and Snowflake. Compensation Expectation : $170,000 – $220,000 What You’ll Do As a Sr Data Engineer:<ul><li>Enable our research team to make data-driven decisions based on timely, consistent, complete, and correct data, reports and analytics</li><li>Work closely with engineering team members to support our existing ETL processes and solving our analytics needs</li><li>Be the subject matter expert in all things data pipelines, data lakes and warehouse, tooling & frameworks, integration and sourcing of data</li><li>Collaborate with cross-functional teams to gather and analyze business requirements.</li><li>Develop and optimize ETL processes to ensure data accuracy and integrity.</li><li>Implement data governance and security measures to protect sensitive information.</li><li>Provide technical leadership and mentorship to other BI engineers</li><li>Possess the vision to guide us to the next stage of our data journey.</li><li>Be detail-oriented, with a healthy level of skepticism that drives you to investigate even minor data discrepancies</li><li>Quickly learn new languages, tools, and frameworks, and be willing to explore uncharted territories to achieve your objectives</li></ul> QualificationsYou could be a great fit if you have:<ul><li>B.S. in Computer Science, or related data field</li><li>6+ years of experience in Data Engineering, ETL, Data Science or related role</li><li>Expert knowledge of Azure, Data Factories, SQL, Fabric</li><li>Proficiency in BI tools such as Tableau, Power BI, or Looker</li><li>Proficiency in ETL tools and processes</li><li>Knowledge of Snowflake</li><li>Excellent problem-solving and analytical skills</li><li>Strong communication and collaboration abilities</li><li>Experience in the financial services or investment industry</li></ul> This client requires that a background check be completed. A background check is required to protect our company/client and its stakeholders by ensuring that we hire individuals with a trustworthy history, which helps maintain a safe and secure workplace. This proactive measure minimizes potential risks and promotes a culture of integrity within the organization. Benefits Offered:Employer provides access to:<ul><li>100% coverage of medical, dental and vision premiums for you and your family with no waiting period</li><li>2:1 charitable contribution matching to non-profit organizations</li><li>An annual bonus based on several factors including both profitability and individual performance.</li><li>PSL is carried over year over year</li><li>San Francisco has the following sick leave policy: accrue 1 hour for every 30 hours worked up to 72 hours</li></ul>

About the RoleThe Data Engineer plays a key role in shaping and delivering Global Switch’s modern data platform, enabling insights and analytics across a global data centre organisation. Reporting to the Head of Data, this role is central to the development and optimisation of scalable data pipelines and solutions within Microsoft Fabric, supporting the company’s transformation into a data-driven enterprise. This is an exciting opportunity for a technically skilled and business-savvy professional who thrives on building data products that empower decision-making. You’ll work closely with cross-functional teams to understand stakeholder needs and deliver high-quality, cloud-native data solutions that drive value across the organisation. Key Responsibilities<ul><li>Design, develop, and maintain scalable data pipelines within the Modern Data Platform.</li><li>Collaborate with business and technical teams to gather requirements and translate them into effective data products.</li><li>Implement robust data models and ensure data integrity, performance, and reliability.</li><li>Develop and optimise batch and real-time ETL processes from diverse data sources.</li><li>Monitor and troubleshoot data pipelines to ensure efficient data flow.</li><li>Contribute to the development of data engineering best practices and standards.</li><li>Shape and maintain cloud-native data assets to support advanced analytics and AI initiatives.</li></ul> Key Requirements<ul><li>Proven experience as a Data Engineer with a strong grasp of data engineering principles and lifecycle.</li><li>Proficiency in Python, SQL, Spark, and modern data engineering tools.</li><li>Experience with cloud platforms such as Microsoft Azure, Microsoft Fabric, AWS, or Google Cloud.</li><li>Strong understanding of data ingestion, integration, modelling, and consumption.</li><li>Ability to translate business needs into technical solutions with a user-centric mindset.</li><li>Excellent communication and collaboration skills, with a proactive and entrepreneurial approach.</li><li>Degree in Computer Science, Information Technology, or a related field.</li></ul> About Global SwitchYou might not know it, but you use a data centre like Global Switch every day, whether you’re browsing, streaming, gaming, or shopping. Global Switch is a recognised leader in the industry, with more than two decades of experience, dedicated to excellence, innovation, and sustainable operations. We foster a friendly, supportive culture, and offer opportunities for professional growth and development. Joining Global Switch means becoming part of a collaborative team of highly skilled and passionate professionals. As an equal opportunity employer, Global Switch is committed to providing a working culture that values diversity and inclusion and will support reasonable adjustments to ensure a barrier-free recruitment process and working environment.

We have an great opportunity for the role of Senior Data Engineer-GCP.Mandatory Skills : GCP, DBT, Google Data form, PySpark/Spark SQL, CI/CD pipelines, Git, and agile Relevant Exp : 8+ YrsJob location- Bangalore Key Responsibilities:We are seeking a Lead Data Engineer to join the Data Platform Engineering team supporting the Unified Data Platform (UDP) implementation. This role demands hands-on expertise in DBT, Google Cloud Platform (GCP) services, and PySpark, along with a strong understanding of modern data platform practices including CI/CD, observability, and data quality. Candidate will be responsible for building, maintaining, and optimizing data pipelines that feed critical analytics and MDM solutions across multiple business units. While the role is platform agnostic, current needs are focused on BigQuery pipelines and DBT-based transformation workflowsMust-Have Skills: ● 8–12years of experience in data engineering roles. ● Strong experience with DBT (Data Build Tool) and Google Data form. ● Advanced SQL development and optimization skills (esp. in BigQuery). ● Hands-on experience with GCP services for data engineering. ● Good experience with PySpark/Spark SQL for transformation workloads. ● Strong understanding of CI/CD pipelines, Git, and agile delivery methods. ● Experience working in collaborative, cross-functional engineering environments.Excellent problem-solving and communication skills.-Immediate Joiners to 15 days Preferred Thanks and Regards,iitjobs, Inc. Register for a global opportunity on the world's first & only Global Technology Job Portal: www.iitjobs.comDownload our app on the Apple App Store and Google Play Store!Refer and earn ₹50,000!

Title: Sr. Data Engineer/ArchitectLocation: US RemoteWork Authorization: US Citizen or Green CardType: Contract to hire/FTE SCOPE:Kanini is seeking a highly skilled Senior Data Engineer with deep expertise in Microsoft technologies, Power BI, and strong working knowledge of both Azure Data Services and Google Cloud Platform (GCP). This role plays a key part in supporting our data-driven initiatives by designing and maintaining scalable data infrastructure and ensuring seamless access to critical insights across the organization. Key Responsibilities<ul><li>Data Infrastructure & Architecture: Design, build, and maintain high-performance, scalable, and reliable data pipelines and data architectures on Azure and GCP platforms.</li><li>Data Warehousing: Develop and manage cloud-based data warehouse solutions, particularly using BigQuery and Snowflake, ensuring optimized storage and query performance.</li><li>ETL/ELT Development: Create robust ETL/ELT processes to ingest structured and unstructured data from diverse sources, including point-of-sale (POS) systems, product usage logs, web/eCommerce platforms, and geolocation data.</li><li>Analytics & Reporting Enablement: Enable data access for business users and analysts by building effective reporting layers and dashboards using tools like Power BI, Tableau, and Looker.</li><li>Collaboration & Stakeholder Engagement: Work closely with data analysts, data scientists, and business stakeholders to define data requirements and deliver actionable insights aligned with business goals.</li><li>Performance Optimization & Troubleshooting: Monitor data pipelines for performance, reliability, and integrity. Optimize queries, manage data partitioning and clustering, and resolve technical issues swiftly.</li><li>Governance & Security: Ensure adherence to data governance, quality, and security best practices across all data handling processes.</li><li>Tooling: Utilize modern data orchestration and workflow tools such as Cloud Composer (Apache Airflow), ADF, Pub/Sub, and Cloud Storage to support data movement and transformation.</li></ul> Required Qualifications<ul><li>Strong proficiency in SQL with expertise in advanced query tuning and performance optimization.</li><li>Solid hands-on experience with Python for data engineering tasks.</li><li>Proven experience working with cloud platforms (Azure and/or GCP), especially integrating with Snowflake.</li><li>Familiarity with Azure Data Factory, Synapse Analytics, and Microsoft Fabric.</li><li>Deep understanding of data modeling and the ability to design scalable data solutions.</li><li>Demonstrated ability to implement and enforce data governance and security practices.</li><li>Experience in agile and product-centric environments.</li><li>Excellent communication and collaboration skills, with a proactive approach to stakeholder engagement.</li></ul>

About the RoleWe are a fast-growing, consumer-focused marketplace that matches millions of customers with unforgettable food experiences. As a Data Engineer, you will be the connective tissue between raw data and business-defining insights, enhancing how shoppers discover, order, and enjoy their favorite dishes nationwide.You will collaborate with full-stack and machine-learning engineers, analysts, and product managers to design, build, and refine the data infrastructure that powers everything from real-time recommendations to revenue dashboards. If you thrive on turning messy datasets into trustworthy, actionable information at scale, we’d love to meet you. What You’ll Do<ul><li>Build & Optimize Pipelines – Architect batch and streaming ETL/ELT workflows that move billions of records with reliability and speed.</li><li>Model the Data Layer – Create and maintain dimensional and normalized schemas that support analytics, machine-learning, and operational reporting.</li><li>Champion Data Quality – Define monitoring, testing, and governance standards to keep our data accurate, secure, and compliant.</li><li>Level-Up Engineering Practices – Apply CI/CD, automated testing, and version control to every data workflow for fast, safe deploys.</li><li>Partner Cross-Functionally – Work hand-in-hand with product, analytics, and ML teams to translate business questions into data solutions that drive growth.</li></ul> What You’ll Bring<ul><li>5+ years of hands-on experience in data engineering or analytics engineering for high-traffic products.</li><li>Expert SQL skills and strong Python proficiency (additional languages welcome).</li><li>Proven success with modern orchestration and streaming tools (Airflow, dbt Cloud, Fivetran, Kafka/Flink, etc.).</li><li>Deep understanding of cloud warehouses—ideally Snowflake on AWS (Redshift, BigQuery, or Databricks also valued).</li><li>Familiarity with BI and reporting platforms such as Metabase or Sigma.</li><li>Comfort with Git-based workflows, automated testing, and code reviews.</li><li>Ability to balance long-term architectural vision with day-to-day delivery in a lean, collaborative team.</li></ul> Why You’ll Love It Here<ul><li>Impact at Scale – Your pipelines will touch every facet of the customer journey, from “What should I eat tonight?” to “Where’s my delivery?”.</li><li>Modern Stack, Green-Field Projects – Help shape a data platform that’s still early enough for big technical decisions and minimal legacy baggage.</li><li>Competitive Package – Target base salary $140 k – $190 k (commensurate with experience) plus meaningful equity and comprehensive benefits.</li><li>Flexible Location – Work from anywhere in the U.S. with quarterly in-person meetups to stay connected.</li><li>Mission-Driven Team – Join colleagues who believe food brings people together—and who love building tech that makes that happen every day.</li></ul>

Job Description:Role Summary/Purpose:We are looking for a AVP Principal Data Engineer to lead the development of consumer-centric low latency analytic environment leveraging Data technologies and transform the legacy systems. This role is an exciting, fast-paced, constantly changing, and challenging work environment, and will play an important role in resolving and influencing high-level decisions across Synchrony.Our Way of WorkingWere proud to offer you choice and flexibility. At Synchrony, our way of working allows you to have the option to work from home, near one of our Hubs or come into one of our offices. Occasionally you may be required to commute to our nearest office for in person engagement activities such as business or team meetings, training and culture events.Essential Responsibilities:<ul><li>Design, develop and lead data engineering applications in highly agile and fast-moving teams.</li><li>Lead a data engineering team and roll up the sleeves to individually contribute when required.</li><li>Implement ETL/ELT on a big data platform (Cloudera Hadoop cluster) / Container using Ab Initio, Spark, Hive, Kafka, RDBMS(Oracle, MySQL), NoSQL databases(Cassandra), and public cloud solutions.</li><li>Responsible for design, development, testing oversight and production implementation.</li><li>Experience with batch and real-time data pipelines in a DevOps environment using Ab Initio and Spark.</li><li>Work closely with Product owners, Product Managers, Program manager, scrum masters in a Scaled Agile framework.</li><li>Partner with architects to efficiently design data applications with scalability, resiliency and speed.</li><li>Lead data engineering team to drive program delivery.</li><li>Drive technical development and application standards across enterprise data lake and data warehouse.</li><li>Accomplish results by communicating expectations; planning, monitoring, and appraising results; coaching, counseling, and disciplining employees; developing, coordinating, and enforcing systems, policies, procedures, and productivity standards.</li><li>Collaborate across cross-functional teams to improve and deliver on business objectives and priorities.</li><li>Apply technical knowledge, industry experience, expertise, and insights to contribute to the development & execution of Engineering capabilities.</li><li>Stays up-to-date on latest trends in data engineering, recommends best practices, develops innovative frameworks to avoid redundancy by promoting automation.</li><li>Mentor and coach the team to promote Synchrony values and culture.</li><li>Perform other duties and/or special projects as assigned.</li></ul>Qualifications/Requirements:<ul><li>Bachelor's degree preferred with a concentration of study in Computer Science, Engineering or related field and 4 to 5 years of work experience with ELT/ETL/Data warehousing, large scale Data environments e.g., Cloudera and public cloud (AWS preferred) using Ab Initio, Spark, Hive, Kafka, RDBMS (Oracle, MySQL)</li><li>In lieu of a degree, a certification in related field and 8 to 9 years of work experience with above mentioned exposure to large scale data environments.</li></ul>Desired Characteristics:<ul><li>Prior experience as a Data Engineering Technical Lead leading team in Scaled Agile framework.</li><li>Strong experience and deep understanding of ETL, data warehousing, data lakes (Hadoop & Spark) and analytics concepts.</li><li>Experience owning multiple mission critical applications on data platform.</li><li>Experience with batch and real-time data pipelines in a DevOps environment.</li><li>Must be willing to work in a fast-paced environment with globally located Agile teams working in different shifts.</li><li>Ability to develop and maintain strong collaborative relationships at all levels across IT and Business Stakeholders.</li><li>Excellent written and oral communication skills. Adept and presenting complex topics, influencing, and executing with timely /actionable follow-through.</li><li>Experience in designing ETL pipelines to enable automated data load into AWS S3 & Redshift.</li><li>Prior work experience in a Credit Card/Banking/Fin Tech company.</li><li>Experience dealing with sensitive data in a highly regulated environment.</li><li>Demonstrated implementation of complex and innovative solutions.</li><li>Articles and publications in the field of data engineering.</li><li>Nice to have AWS Solution Architect/Data Engineer certification.</li><li>Be the captain of the team, led by example, go beyond the boundaries, motivate, and a team player.</li></ul>Grade/Level: 11The salary range for this position is 110,000.00 - 185,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance.Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge.Salaries are adjusted according to market in CA, NY Metro and Seattle.Eligibility Requirements:<ul><li>You must be 18 years or older</li><li>You must have a high school diploma or equivalent</li><li>You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process</li><li>You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.</li><li>New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you dont meet the time in position or performance expectations).</li></ul>Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Our Commitment:When you join us, youll be part of a diverse, inclusive culture where your skills, experience, and voice are not only heardbut valued. We celebrate the differences in all of us and believe that our individual, unique perspectives is what makes Synchrony truly a great place to work. Together, were building a future where we can all belong, connect and turn ideals into action. Through the power of our 8 <a href="https://www.synchronycareers.com/our-culture/#diversity" target="_blank">Diversity Networks+</a>, with more than 60% of our workforce engaged, youll find community to connect with an opportunity to go beyond your passions.This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status.Reasonable Accommodation Notice: <ul><li>Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.</li><li>If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627. Representatives are available from 8am 5pm Monday to Friday, Central Standard Time</li></ul>Job Family Group:Information Technology

Lead Data Engineer (Python, AWS, Snowflake)Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, <a href="https://www.capitalone.com/diversity/business-resource-groups/" target="_blank"> </a>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, youll have the opportunity to be on the forefront of driving a major transformation within Capital One. About the Team:As a Lead Data Engineer, you would join our product data team and be responsible for building and maintaining sophisticated data pipelines that ingest data from major auto customers, utilizing advanced AWS services including EMR, S3, Iceberg and Databricks. Your work will directly impact thousands of auto dealerships across the US in the way they run their business and unleash the power of data to all. With your expertise in Python and cloud-based data solutions, you will play a key role in enhancing our analytics capabilities and transforming raw data into valuable business intelligence.What Youll Do:<ul><li>Lead design and build Enterprise Level scalable, low-latency, fault-tolerant streaming data platform that provides meaningful and timely insights</li><li>Build the next generation Distributed Streaming Data Pipelines and Analytics Data Stores using streaming frameworks (Flink, Spark Streaming) using programming languages like Java, Scala, Python</li><li>Lead a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets</li><li>Influence best practices for Data Pipeline design, Data architecture and processing of structured and unstructured data.</li><li>Work in a creative & collaborative environment driven by agile methodologies with focus on CI/CD, Application Resiliency Standards, and partnership with Cyber & Security teams</li><li>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</li><li>Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies</li><li>Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems</li><li>Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>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</li></ul>Basic Qualifications: <ul><li>Bachelors Degree </li><li>At least 4 years of experience in application development (Internship experience does not apply)</li><li>At least 2 years of experience in big data technologies </li><li>At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)</li></ul>Preferred Qualifications:<ul><li>7+ years of experience in application development including Java, Python, SQL, or Scala </li><li>4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</li><li>4+ years experience with Distributed data computing tools (Flink, Kafka, Spark)</li><li>4+ year experience working on real-time data and streaming applications </li><li>4+ years of experience with NoSQL implementation (DynamoDB, OpenSearch) </li><li>4+ years of data warehousing experience (Redshift or Snowflake) </li><li>4+ years of experience with UNIX/Linux including basic commands and shell scripting</li><li>2+ years of experience with Agile engineering practices </li></ul>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.Plano, TX: $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 candidates 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 <a target="_blank" href="https://www.capitalonecareers.com/benefits">Capital One Careers website</a>. 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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 Citys Fair Chance Act; Philadelphias 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 <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. 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 <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>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).

Senior Data Engineer (Python, SQL, AWS) - Navigator Platform TechDo you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, 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 Data Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One. About the Team:Our Navigator Platform teams are focused on creating an exceptional car-buying experience for customers through an end-to-end digital auto-buying platform. Auto Navigator and Dealer Navigator are two ends of our industry-leading platform that allow customers to easily finance a car, while helping dealers create the perfect deal for customers' auto loans. What Youll Do:<ul><li>Be a part of team designing and building Enterprise Level scalable, low-latency, fault-tolerant streaming data platform that provides meaningful and timely insights</li><li>Build the next generation Distributed Streaming Data Pipelines and Analytics Data Stores using streaming frameworks (Flink, Spark Streaming) using programming languages like Java, Scala, Python</li><li>Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets</li><li>Work in a creative & collaborative environment driven by agile methodologies with focus on CI/CD, Application Resiliency Standards, and partnership with Cyber & Security teams</li><li>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</li><li>Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies</li><li>Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems</li><li>Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>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</li></ul>Basic Qualifications: <ul><li>Bachelors Degree </li><li>At least 3 years of experience in application development (Internship experience does not apply)</li><li>At least 1 year of experience in big data technologies </li></ul>Preferred Qualifications: <ul><li>5+ years of experience in application development including Python, SQL, Scala, or Java</li><li>2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</li><li>3+ years experience with Distributed data computing tools (Kafka, Spark, Flink)</li><li>2+ year experience working on real-time data and streaming applications </li><li>2+ years of experience with NoSQL implementation (DynamoDB, OpenSearch) </li><li>2+ years of data warehousing experience (Redshift or Snowflake) </li><li>3+ years of experience with UNIX/Linux including basic commands and shell scripting</li><li>2+ years of experience with Agile engineering practices </li></ul>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.Plano, TX: $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 candidates 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 <a target="_blank" href="https://www.capitalonecareers.com/benefits">Capital One Careers website</a>. 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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 Citys Fair Chance Act; Philadelphias 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 <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. 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 <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>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).

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