JPMorgan Chase
Software Engineer III- Data Engineer(Python, Databricks and AWS)
Plano, TX · Full-time · Posted Oct 23, 2026
- Experience
- 3+ years of applied experience.
- Education
- Formal training or certification on data engineering concepts.
About the job
Designs, builds, and maintains secure, scalable data pipelines and architectures that support analytics and AI/ML initiatives.
What you'll do
- Develop and optimize data pipelines, ETL processes, data models, and warehouses; monitor and troubleshoot workflows.
- Orchestrate workflows and process streaming data, while maintaining data quality, integrity, security, and auditability.
- Prepare data for AI/ML initiatives and use authorized AI tools to support engineering work, validating outputs before use.
What they ask for
- Formal training or certification in data engineering concepts and 3+ years of applied experience.
- Experience across the full data engineering lifecycle, from ingestion to production.
- Hands-on expertise with Databricks, Apache Spark, AWS, Airflow, and Kafka; proficiency in Python and SQL.
- Experience with data modeling, ETL development, data warehousing, and supporting machine-learning data pipelines.
Nice to have
- Relevant AWS, Databricks, or Spark certifications.
- Experience with Docker or Kubernetes, data governance, compliance standards, or other big-data tools.
Tools
Databricks, Apache Spark, AWS, Airflow, Kafka, Python, SQL, Docker
AI focus
Supports AI/ML initiatives by preparing and engineering data for model development and deployment; uses authorized AI capabilities for pipeline analysis, documentation, test generation, and control validation, with output validation and data-sensitivity safeguards.
Model-written summary · the original posting is authoritative