Posted 11 days ago
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**Senior Advanced Forward Engineering - Data Engineer** Leverage your 5+ years of data engineering experience to lead data operations within our innovation labs. Embed with strategic clients to ensure data readiness for AI systems in regulated environments. Key responsibilities include designing data pipelines, implementing data governance, and solving real-world data challenges. Proficiency in databases, data management systems, and cloud environments required. This senior role demands strong communication, problem-solving, and collaboration skills. Join EY's forward-thinking Office of the CTO and help shape a better working world.
- Compensation
- $106,900 – $200,600 USD
- City
- Not specified
- Country
- United States
Currency: $ (USD)
Full Job Description
Location: Anywhere in Country
At EY, were all in to shape your future with confidence.
Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
The opportunity
In EYs Office of the CTO, the Advanced Forward Engineering (AFE) team is comprised of cells of Forward Deployed Engineers (FDEs) that are embedded with our strategic customers to ensure the best possible customer experience in using EYs products.
We are seeking a Data Engineer to join AFE delivery pods, where AInative systems are deployed directly into highly regulated client environments such as tax, finance, and risk. This role is responsible for ensuring that data is accessible, governed, and productionready so AI solutions can be safely and reliably delivered in realworld conditions.
Unlike traditional data engineering roles that focus on centralized platforms, the AFE Data Engineer operates within forwarddeployed pods, working directly with delivery engineers and client stakeholders to integrate enterprise AI systems with legacy data environments. This role is ideal for someone who thrives at the intersection of data engineering, delivery execution, and regulatory constraints, and who can translate ambiguous data landscapes into dependable, compliant solutions.
Your key responsibilities
- Serve as the data owner within an AFE delivery pod, ensuring data readiness does not block or delay delivery outcomes.
- Design and implement data ingestion, transformation, and access patterns that integrate AI systems with client and legacy data sources.
- Ensure data pipelines comply with governance, security, lineage, and access control requirements mandated by regulated environments.
- Implement data interfaces and contracts that satisfy DevOps Specification (DS) data requirements for supported deployment templates.
- Partner closely with Forward Deployed Software Engineer roles to enable AI workflows, retrieval, and analytics that are reliable in production.
- Diagnose and resolve data quality, schema drift, and integration issues encountered in real deployment scenarios.
- Contribute reusable data patterns and implementation learnings back to the AFE integration core to improve repeatability across pods.
- Support validation, testing, and deployment activities to ensure data flows behave correctly and consistently across environments (dev, test, preprod, prod).
Skills and attributes for success
- Deep expertise with industry standard database and data management systems (Postgres, Oracle, Databricks, SnowFlake, BigQuery, RedShift, Azure Data Factory, Kafka, Flink, Spark).
- Strong foundation in data engineering concepts applied to real production systems.
- Capable of working effectively with imperfect, heterogeneous, and legacy data environments.
- Experience in balancing delivery speed with data governance and compliance requirements.
- Pragmatic problemsolver who can operate with ambiguity and incomplete information.
- Clear communicator able to explain data constraints and tradeoffs to engineers and stakeholders.
- Bias toward building durable, wellunderstood data interfaces rather than oneoff solutions.
- Curiosity and flexibility when working with evolving AI and data use cases.
To qualify you must have
- Bachelors or Masters degree in Computer Science or related technical field.
- 5+ years of experience in data engineering, data integration, or analytics engineering roles.
- Handson experience building and operating data pipelines in cloud or hybrid environments.
- Experience integrating with relational databases, data warehouses, data lakes, or enterprise systems.
- Familiarity with data modeling, transformation frameworks, and APIbased data access.
- Experience working under data governance, security, or compliance constraints.
- Ability to collaborate closely with application engineers and operate in deliveryfocused teams.
Ideally, you'll also have
- Experience supporting AI, ML, or analyticsdriven applications in production.
- Familiarity with retrievalbased systems (e.g., search, embeddings, feature stores).
- Exposure to regulated industry data environments (financial services, tax, healthcare).
- Experience with hybrid or onprem data integration scenarios.
- Background in forwarddeployed, consulting, or customerfacing engineering roles.
What we offer you
At EY, well develop you with future-focused skills and equip you with world-class experiences. Well empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
- We offer a comprehensive compensation and benefits package where youll 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 $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. 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, youll decide how much vacation time you need based on your own personal circumstances. Youll 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.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on-going basis.
For those living in California, please click here for additional information.
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
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 EYs Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
