Data Engineering Lead: Scale Analytics & Trusted Data

JPMorgan Chase & Co.; Kentucky; On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Data Engineering Lead to design and evolve a scalable data foundation for trusted analytics and decision-making.

You will deliver resilient datasets, pipelines, and reusable metrics across the PDLC while remaining hands-on when needed. You will drive engineering standards, improve reliability and observability, and mentor a small team to move faster with clear ownership and governance.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5+ years of hands-on data solutions delivery in a fast-paced engineering environment.
• Strong software engineering fundamentals across design, data structures, testing, and lifecycle.
• Deep understanding of data modeling (dimensional, normalized, event-based).
• Hands-on experience with Databricks and large-scale processing (Spark/PySpark).
• Strong SQL and modern tooling (dbt).
• Experience designing and operating orchestration pipelines with Airflow.
• Proven track record in delivering trusted metrics and maintaining reliability as data sources evolve.
• Ability to lead delivery in complex, multi-stakeholder environments.

Responsibilities

• Design, build, and operate scalable data pipelines with clear SLAs and observability.
• Develop trusted data products with clear ownership and documentation.
• Create well-defined metrics and dataset structures for AI adoption and productivity measures.
• Ensure data quality, governance, lineage, and access controls.
• Develop and manage workflow orchestration (Airflow) for data movement and transformation.
• Model and transform data with SQL/dbt to support reporting and measurement.
• Write production-grade Python/PySpark with testing and performance tuning.
• Collaborate with analytics, product, and engineering stakeholders to align on requirements and success criteria.
• Establish engineering best practices and improve cost/performance through monitoring and runbooks.
• Mentor a team and set technical direction through standards and reviews.

Skills

Data engineering

Spark/PySpark

SQL

dbt

Airflow

Python

Data modeling

ETL pipelines

Observability

Mentoring

Education

Bachelor’s degree in Computer Science/Engineering

Tools

Databricks

Apache Airflow

dbt

Spark

Snowflake

Python

Job description

JPMorgan Chase & Co. is seeking a Data Engineering Lead to design and evolve a scalable data foundation for trusted analytics and decision-making.

You will deliver resilient datasets, pipelines, and reusable metrics across the PDLC while remaining hands-on when needed. You will drive engineering standards, improve reliability and observability, and mentor a small team to move faster with clear ownership and governance.