Lead Analytics Engineer - Databricks Specialist
JPMorgan Chase
Listing collected from JPMorgan Chase's career site. NextChapter is independent of JPMorgan Chase.
Newark, DE · Posted November 9, 2026
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November 2026
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
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How AI is used in this kind of work
Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
JPMorgan Chase has filed one layoff notice in the last twelve months, covering 244 workers, most recently June 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings
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About the job
As a Lead Analytics Engineer within the RM&C Data Analytics & Intelligent Automation team, you’ll execute our analytics engineering roadmap to enable cloud-native BI and analytics. Databricks is the primary platform; you’ll design the end-to-end Lakehouse stack—from ingestion to governed semantic models and self-service consumption—leveraging Delta Lake, Unity Catalog, Delta Live Tables (DLT), Databricks SQL, and Databricks Genie. Tools such as Alteryx, Prophecy, Snowflake, Tableau, and Sigma may be used within the solutions you establish.