JPMorgan Chase
Corporate Technology - Lead Data Engineer
$133K–$175K
Chicago, IL · Full-time · Posted Sep 23, 2026
About the job
Designs and leads secure, scalable data architectures and pipelines that ingest, process, and store data while meeting quality, reliability, privacy, and regulatory requirements.
What you'll do
- Design, implement, and maintain batch and streaming data pipelines and distributed architectures.
- Ensure data quality, timeliness, security, and compliance with privacy, residency, and financial regulations.
- Set technical direction, engage stakeholders, evaluate technologies, and lead delivery of software solutions.
What they ask for
- Programming experience with Java or Python, including testing and code review practices.
- Expert SQL skills, including joins, aggregations, subqueries, and window functions.
- Production ETL/ELT pipeline experience using a framework such as Spark, Flink, or Dataflow; hands-on Kafka experience.
- Hands-on experience with Snowflake or Databricks, cloud storage or HDFS, and production use of GCP or AWS.
Nice to have
- Familiarity with AI/ML, LLMs, prompt engineering, vector search, responsible AI, or AI-assisted development tools.
- Financial services or large-scale enterprise data experience; mentoring engineers or leading technical delivery.
Pay
$133,000.00-$175,000.00 USD base salary
Tools
Java, Python, SQL, Spark, Flink, Dataflow, Kafka, Snowflake
AI focus
Preferred familiarity with AI/ML, including LLMs, prompt engineering, vector search, responsible AI practices, and AI-assisted software development tools.
Model-written summary · the original posting is authoritative