JPMorgan Chase
Lead Software Engineer: Data Engineering
Columbus, OH · Full-time · Posted Sep 15, 2026
- Experience
- 5+ years of applied experience.
- Education
- Formal training or certification on data engineering concepts; no degree requirement stated.
About the job
Leads hands-on delivery and architecture of secure, reliable data platforms and pipelines on AWS and Databricks, while guiding engineers and responsible use of AI-assisted development tools.
What you'll do
- Architect and build data pipelines and platforms across ingestion, transformation, curation, and consumption; develop reusable Python and/or Scala components.
- Own production reliability, including data quality, monitoring, incident response, performance, cost optimization, and SDLC standards.
- Lead and mentor engineers, partner across teams, and promote validated use of authorized AI tools for development and operations.
What they ask for
- Formal training or certification in data engineering concepts, including architecture and production ownership, with 5+ years of applied experience.
- Hands-on experience in system design, application development, testing, and operational stability.
- Strong Python skills and deep experience with Databricks and Spark; strong AWS and modern lakehouse/data platform experience.
- Proven technical leadership and experience with the SDLC, agile methodologies, CI/CD, resiliency, security, and validating AI-assisted development outputs.
Nice to have
- AWS certification and/or Databricks certification.
- Experience with streaming architectures and operational support for monitoring, alerting, and recovery.
Tools
AWS, Databricks, Spark, Delta, Python, Scala, GitHub Copilot, Claude Code
AI focus
Uses and leads adoption of enterprise-authorized AI tools for coding, refactoring, code review, test generation, documentation, troubleshooting, and incident/root-cause analysis, with validation for correctness, performance, and security.
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