Senior Data Engineer - Python, Databricks & AWS

JP Morgan Chase

Plano (TX)

On-site

USD 120,000 - 160,000

Full time

3 days ago
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Job summary

JPMorgan Chase is seeking a Software Engineer to join Corporate Technology - Global Finance Technology. You will contribute to data pipelines, analytics infrastructure, and secure, scalable data architectures across business functions.

As a senior technical contributor, you will own ingestion, governance, and performance tuning in a Databricks AWS environment, with emphasis on reliability, testing, and secure coding practices.

Qualifications

  • Formal training or certification in software engineering; 5+ years hands-on SDLC experience.
  • Experience building and maintaining data pipelines.
  • Hands-on experience with Databricks Lakehouse hosted in AWS.
  • Experience with Delta Lake (ACID tables, partitioning, schema evolution).
  • Proven experience with Spark on Databricks (tuning, clustering).
  • Experience with streaming and batch pipelines (Structured Streaming, incremental processing).
  • Strong AWS fundamentals for data platforms (S3, IAM, KMS, VPC).
  • Data governance/security controls in Databricks (Unity Catalog, permissions).
  • Reliability: monitoring, incident response, RCA, SLO/SLA management.
  • Awareness of responsible AI use in engineering workflows.

Responsibilities

  • Deliver ingestion at scale from AWS sources into Databricks (batch + streaming).
  • Build maintainable pipelines using Delta Live Tables or Jobs with tests and docs.
  • Operationalize workloads via Databricks Workflows/Jobs; ensure retries, checkpointing, idempotency.
  • Enforce governance, least privilege, auditing, lineage and controlled sharing.
  • Tune Spark/Delta workloads, right-size clusters, optimize storage and costs.
  • Implement CI/CD and IaC (Terraform) for Databricks + AWS resources; promote across environments.
  • Conduct unit/integration tests for transformations, data quality, and backfills.
  • Maintain runbooks and clear documentation; participate in peer reviews.

Skills

Data engineering
Databricks
Spark
Delta Lake
Terraform
AWS
Data governance
CI/CD
AI tooling
Code review

Tools

Databricks
Delta Lake
Terraform
AWS
Spark

Job description

JPMorgan Chase is seeking a Software Engineer to join Corporate Technology - Global Finance Technology. You will contribute to data pipelines, analytics infrastructure, and secure, scalable data architectures across business functions.

As a senior technical contributor, you will own ingestion, governance, and performance tuning in a Databricks AWS environment, with emphasis on reliability, testing, and secure coding practices.

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