Senior Data Engineer - Python, Databricks & AWS

JPMorgan Chase; Jersey City (NJ); On-site; USD 110,000 - 170,000; Full time

Job summary

JPMorgan Chase is seeking a Software Engineer in Corporate Technology - Global Finance Technology to strengthen data ingestion, storage, and analytics across the firm's critical platforms.

You will contribute to scalable, secure data pipelines, governance by design, and efficient cloud-native workloads using Databricks, Delta Lake, and AWS services. Collaboration in an agile team and adherence to coding standards are essential.

Qualifications

• 3+ years hands-on SDLC experience.
• Experience building data pipelines.
• Hands-on Databricks Lakehouse hosted in AWS.
• Experience with Delta Lake and Spark tuning.
• Streaming and batch pipeline development.
• Data governance and security controls.

Responsibilities

• Deliver ingestion at scale: ingest data from AWS sources into Databricks (batch + streaming).
• Build maintainable pipelines with Delta Live Tables or Jobs; ensure testing and docs.
• Operate workloads via Databricks Workflows/Jobs; implement retries and checkpointing.
• Enforce data governance: least privilege, auditing, lineage, classifications.
• Tune Spark/Delta workloads; optimize storage layout and cost.

Skills

Data engineering

Databricks

Spark (Scala/Py)

AWS

Terraform

Data governance

CI/CD

Testing

Tools

Delta Lake

Unity Catalog

S3

IAM

Job description

JPMorgan Chase is seeking a Software Engineer in Corporate Technology - Global Finance Technology to strengthen data ingestion, storage, and analytics across the firm's critical platforms.

You will contribute to scalable, secure data pipelines, governance by design, and efficient cloud-native workloads using Databricks, Delta Lake, and AWS services. Collaboration in an agile team and adherence to coding standards are essential.