EY is hiring for the position of Data Engineer Manager in the Industrials & Energy Sector. This full-time opportunity is open across the United States with a focus on leading data engineering teams to build scalable data architectures supporting advanced analytics and AI solutions. If you have strong experience in data engineering, leadership, and cloud technologies, explore this exciting role and apply today.
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- Company: EY (Ernst & Young)
- Title: Data Engineer – Industrials & Energy Sector (Manager)
- Location: Hoboken, NJ / Anywhere in US
- Job Type: Full-Time
- Requisition ID: 1624885
- Salary Range: $125,500 to $230,200 (US average); up to $261,600 (NYC Metro, WA, CA)
About the Role
As a Data Engineer Manager at EY, you will lead teams to design, develop, and maintain scalable data architectures and pipelines, primarily using AWS and Databricks technologies. Your leadership will support enterprise data initiatives in the Industrials & Energy sector, enabling data quality, troubleshooting, and advanced analytics solutions.
Key Responsibilities
- Design and optimize ETL pipelines and data architectures adhering to business goals
- Build new integrations using AWS native tools to handle growing data volume and complexity
- Define and validate data requirements from structured and unstructured sources
- Implement data quality monitoring, reconciliation, and troubleshooting processes
- Lead evaluation and deployment of emerging analytic data engineering tools
- Collaborate with Data Scientists and AI/ML engineers to create data products
- Mentor and coach data engineering teams, promoting standards and innovation
- Drive adoption of continuous integration and delivery practices to improve automation and code quality
Required Qualifications
- Bachelor’s degree in Engineering, Computer Science, Data Science or related field
- 5+ years in software development, data engineering, ETL, and analytics reporting
- 2+ years experience managing and mentoring data engineering teams
- Strong experience with Python, Pyspark, AWS services (Lambda, S3, DMS, etc.)
- Experience with distributed data technologies and relational SQL databases
- Familiarity with DevOps, CI/CD, Databricks, and GitHub
- Excellent communication and troubleshooting skills
- Ability to work in fast-paced and globally distributed team environments
Preferred Qualifications
- Experience leading teams and fostering a culture of innovation
- Passion for emerging technologies and strategic problem solving
- Commitment to diversity, inclusion, and mentoring
Why Join EY?
- Future-focused skill development and world-class experiences
- Flexible hybrid work model (40-60% in-person)
- Competitive salary and comprehensive benefits including medical, dental, 401(k), paid leave, and more
- Inclusive and diverse culture supporting your professional growth
