JPMorgan Chase
Lead Data Engineer
$147K–$190K
New York, NY · Full-time · Posted Oct 5, 2026
- Experience
- 5+ years of relevant experience.
- Education
- A degree (or equivalent practical experience) in Computer Science, Information Systems, Data Science, or a related field is preferred.
About the job
Build and operate governed data pipelines and models that support operational resiliency analytics and technology recovery-risk analysis.
What you'll do
- Design, build, and operate production-grade data pipelines and data products from disparate sources.
- Develop data models and architecture for user flows, system dependencies, resiliency signals, and risk measures.
- Improve data quality, metadata, governance, lineage, and auditability while collaborating with business and technology stakeholders.
What they ask for
- 5+ years of relevant experience in data engineering, analytics engineering, or data platform engineering.
- Strong SQL proficiency and hands-on Python programming, with experience using SQL and NoSQL query paradigms.
- Practical experience with data modeling, ETL/integration, and mapping or migrating complex relational data across systems.
- Experience with PostgreSQL, MySQL, and MongoDB, including performance optimization and operational management.
Nice to have
- Familiarity with GraphQL; scenario generation or modeling for resiliency and recovery-risk analysis.
- Degree or equivalent practical experience in a related field; TOGAF or cloud/solution architecture certifications are a plus.
Pay
$147,250.00-$190,000.00 USD base salary
Tools
SQL, Python, PostgreSQL, MySQL, MongoDB, Apache Spark, Hadoop, GraphQL
AI focus
Use GitHub Copilot and Claude Code for assisted development, subject to firm approval, policy, and applicable control requirements.
Model-written summary · the original posting is authoritative