Overview

Your Future. Secured. ISC2 is a force for good. As the world’s leading nonprofit member organization for cybersecurity professionals, our core values — Integrity, Advocacy, Commitment, Diversity, Equity & Inclusion and Excellence — drive everything we do in support of our vision of a safe and secure cyber world. Our globally recognized, award-winning portfolio of certifications provide an independent and globally recognized endorsement of cybersecurity knowledge, skills and experience for all career levels. Our charitable arm, the Center for Cyber Safety and Education, enables ISC2 and our members to serve the public by educating the most vulnerable about cyber risks and empowering access to enter and thrive in the cyber profession. Learn more at ISC2 online and connect with us on Twitter, Facebook and LinkedIn. When you join ISC2, you’ll demonstrate your commitment to an inclusive and equitable environment. Your support of the unique perspectives and experiences shared by our global cybersecurity workforce and profession will be recognized. We invite you to take an active role in helping us create a true sense of belonging across our organization — an environment of authenticity, trust, empowerment and connectedness that empowers all of our successes. Learn more.

Position Summary

We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Responsibilities

Implement Azure Data Services and tools to ingest , egress and transform data from multiple sources and create and maintain optimal data pipeline architecture.

Responsible for creating ETL pipeline with Azure Ecosysem like Azure Synapse ,Azure Data Factory.

Implement and support ETL related jobs to curate , transform and aggregate data to create models for end user consumption.

Assemble large, complex data sets that meet functional / non-functional business requirements.

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure from Sales Force ,Pearson Vue etc.

Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

Implement the appropriate design patterns while optimizing performance, cost, security, and scale and end user experience.

Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Work with data and analytics experts to strive for greater functionality in our data systems.

Maintain ownership of a given pipeline or domain and raise flags to leadership when appropriate regarding architectural concerns.

Demonstrates commitment to valuing diversity and contributing to an inclusive working and learning environment.

Miscellaneous duties as assigned.

Qualifications

Ability to build an inclusive culture that encourages, supports and celebrates diversity; serve as a role model to promote DEI best practices.

Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

Strong analytic skills related to working with unstructured datasets.

Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

Strong project management and organizational skills.

Education and Work Experience

Bachelor’s degree in computer science or other equivalent degree

7+ years of experience in a Data Engineer role.

Experience with Cloud Data warehouses such as Azure , AWS and Google BigQuery

Experience with big data tools: Hadoop, Spark and Kafka.

Experience with Azure Dedicated and Azure Synapse

Experience with Analytics one or more of the following reporting tools; Tableau, PowerBI, Looker, Domo and Microstrategy

Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.

Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

Experience with object-oriented/object function scripting languages: Python, Java, C++,etc.

Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.

Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

A successful history of manipulating, processing and extracting value from large disconnected datasets.

Physical and Mental Demands

Up to 5% travel may be required.

Work normal business hours and extended hours when necessary.

Remain in a stationary position, often standing or sitting, for prolonged periods.

Regular use of office equipment in a remote environment such as a computer/laptop and monitor computer screens

Dexterity of hands and fingers to operate a computer keyboard, mouse, and other computer components

Equal Employment Opportunity Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic as protected by applicable law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Job Locations   US-Remote

Posted Date   2 weeks ago   (3/20/2025 12:56 PM)

Job ID    2025-2040

# of Openings    1

Category    Information Technology

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all.

The exceptional EY experience. It's yours to build.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY is seeking a motivated professional with solid experience in the industrials, energy or utilities sector to serve as a Senior AI Data Engineer who possesses a robust background in AI, Gen AI, Agentic AI, preferably with an electrical engineering background. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the industrials, energy, and utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data architectures.

The opportunity

As a Senior Data Engineer, you will be at the forefront of designing and implementing analytics solutions that drive substantial business value. You'll work closely with a diverse group of stakeholders to translate complex business requirements into precise technical specifications. Your role is crucial in bridging the gap between business needs and technical solutions, ensuring the successful execution of data-driven projects.

Your key responsibilities

In this role, you will design, develop, and maintain scalable data architectures, both on-premises and in the cloud. You'll manage the efficient storage, integration, validation, and security of data throughout its lifecycle. Your contributions will be vital to the delivery of processes, solutions, or projects, requiring you to exercise judgment and select appropriate methodologies to inform recommendations. You will be responsible for meeting your own targets, which will impact the performance of your team, and may guide junior colleagues to achieve project deliverables.

Design and implement scalable data architectures

Ensure efficient data lifecycle management

Contribute to the delivery of key projects and solutions

Architect and refine AI data architecture and modern data pipelines, integrating agentic AI solutions for clients in the industrials, energy, or power and utility sectors.

Leveraging your knowledge of industrials, energy or power and utility systems and processes to define data requirements, gather, profile and analyze large scale structured and unstructured source data, and develop AI/GenAI/Agentic AI solutions

Develop the mechanisms to ingest, analyze, validate, normalize, and clean data to support standardization, customization and ad hoc data analysis needs

Evaluate and implement cutting-edge tools and methodologies to enhance data engineering productivity.

Collaborate with a diverse team of business analysts, solution architects, and data scientists to develop strategic enterprise solutions and data products.

Skills and attributes for success

To excel in this role, you should demonstrate expertise in cloud computing, data architecture design, data integration, and software engineering. Your ability to manage relationships, think critically, and adapt with emotional agility will be key to your success.

A deep understanding of the value chain and core processes within the energy, or power systems sectors.

Proficiency in AI, GenAI/Agentic AI, relational SQL databases, DevOps, continuous integration, and data lake concepts.

A proven ability to design and maintain complex data integrations and ETL pipelines.

Strong organizational skills, capable of leading projects across globally distributed teams.

Exceptional communication skills and the ability to troubleshoot complex data issues.

Collaborate with stakeholders to define technical specifications

Participate in client sessions and lead workstream teams

Manage resource plans, budgets, and project statuses

To qualify for the role, you must have

A Bachelor’s degree in electrical/Power Systems Engineering, AI, Computer Science, Data Science, or a related field.

At least 5 years of experience in data engineering, AI, and analytics.

At least 5 years of experience in the power and utilities sector.

A track record of implementing complex data solutions and familiarity with cloud services, data engineering programming languages, and data architecture.

Demonstrated understanding and experience using:

AI, GenAI/Agentic AI

Relational SQL databases

DevOps and continuous integration

Microsoft Fabric, Databricks/Snowflake

GitHub

Experience in cloud computing, data architecture design, data integration, and software engineering

Professional certifications as defined by service line policies

Relationship management skills

Critical thinking and emotional agility

Ideally, you’ll also have

Proven ability to navigate complex issues and make informed decisions

Experience in supervising and guiding junior team members

Demonstrated participation in sales opportunities and RFP responses

Leadership experience with a focus on team development and mentorship.

A passion for leveraging emerging technologies to address real-world problems.

A commitment to creating an inclusive work environment that celebrates diversity.

What we look for

We seek top performers with a keen eye for detail, a passion for data-driven solutions, and the ability to thrive in a collaborative environment. Your proactive approach to problem-solving, combined with your technical expertise, will set you apart as a candidate.

FY25NATAID

What we offer

We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $105,100 to $192,700. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $126,100 to $218,900. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

Continuous learning:  You’ll develop the mindset and skills to navigate whatever comes next.

Success as defined by you:  We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.

Transformative leadership:  We’ll give you the insights, coaching and confidence to be the leader the world needs.

Diverse and inclusive culture:  You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

EY accepts applications for this position on an on-going basis.  If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

For those living in California, please click here (https://ey-preview.ey.com/content/ey-unified-site/ey-com/local/us/en_us/home/legal-and-privacy/fair-chance-ordinance.html?token=68cf9ed2-94e5-4db9-83cf-5c6aa14619de) for additional information.

_EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. _

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at   ssc.customersupport@ey.com   .

Summary: As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or munication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. Required Skills: Data Engineer, Product Analytics Responsibilities: Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way Define and manage Service Level Agreements for all data sets in allocated areas of ownership Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts Influence product and cross-functional teams to identify data opportunities to drive impact Mentor team members by giving/receiving actionable feedback Minimum Qualifications: Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent 7+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.) Preferred Qualifications: Preferred Qualifications: Master's or Ph.D degree in a STEM field Public Compensation: $173,000/year to $242,000/year + bonus + equity + benefits Industry: Internet Equal Opportunity: Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at .

Datavant is a data platform company and the world’s leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format.

Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world’s leading life sciences companies, government agencies, and those who deliver and pay for care.

By joining Datavant today, you’re stepping onto a high-performing, values-driven team. Together, we’re rising to the challenge of tackling some of healthcare’s most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare.

The Site Connect delivery data engineers are masters of data ETL. We create and maintain integrations for over 70+ EHR’s powering every patient use case you can think of. Our team is full of go getters that work in a matrixed 100% remote environment on agile teams that support customers from go live to support for the live of the integration.

You will:

Create and maintain ELT/ETL processes for existing and new systems.

Collaborate with development and business teams to understand requirements and define source system data flows

Develop and maintain ETL/ETL specifications for data integration development

Define and deliver consistent data modeling and data architecture standards, methodologies, guidelines and techniques

Document, implement and maintain the data pipeline architecture and related business processes

Serve as a source of knowledge of industry practices and processes.

Participate in the development of enterprise standards and guidelines for data model quality and accuracy

Audit project level data model quality deliverables to ensure that practices and standards are met

Analyze information and data requirements and understand effects of data inconsistencies

Identify inefficiencies in current architecture and processes and communicate solutions in a manner that gets support from the teams involved

Perform cost and sizing estimates for projects

Collaborate with the project coordinator and the rest of the agile team to identify epics, stories and estimate effort

Create and maintain data dictionary documents, table and data lineage models and produce artifacts to support project development and communicate project information to customers

What you will bring to the table:

Bachelors in Computer Science or other engineering degree equivalent

5+ years of hands-on experience in building Data pipeline (ETL/ELT) in a cloud platform

5+ years of experience with relational DBMS, SQL Server/T-SQL, stored procedures, functions. Including experience optimizing database performance using T-SQL and PL/SQL for efficient data retrieval

5+ years of experience with Python

Experience with using AWS

Bonus points if:

Healthcare data experience 2+ years

Knowledge of clinical systems (e.g. Cerner, Epic, Meditech, etc.) and standard Acute/Ambulatory workflows.

Preferred AWS Cloud Practitioner or above certification

We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.

At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services.

The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job.

The estimated total cash compensation range for this role is:

$123,000—$145,000 USD

To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion.

This job is not eligible for employment sponsorship.

Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (https://www.datavant.com/eeo-commitment-statement) . Know Your Rights (https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal) , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.

At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren’t even able to see whether you’ve responded.) Responding is entirely optional and will not affect your application or hiring process in any way.

Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please contact us at peopleteam@datavant.com . We will review your request for reasonable accommodation on a case-by-case basis.

For more information about how we collect and use your data, please review our Privacy Policy (https://www.datavant.com/privacy-policy) .

Data Engineer Jobs in Concord, NH

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Data Engineer Jobs in Concord, NH

Data EngineerApril 2, 2025

Data Engineer Power Utilities Senior Consulting Location OpenMarch 31, 2025

Data Engineer Product AnalyticsMarch 30, 2025

Senior Data EngineerMarch 28, 2025