Software Engineer III - Data Engineer
JPMorgan Chase & Co.Match Score
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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and operate scalable AWS cloud data engineering products using Databricks, PySpark, Delta Lake, and lakehouse patterns for batch and streaming ETL/ELT workloads.
Lead adoption and integration of AI-assisted engineering practices (such as GitHub Copilot and Claude) across development, testing, documentation, and production support with human accountability.
Implement and maintain disciplined engineering practices including CI/CD, infrastructure as code (Terraform/AWS CloudFormation), observability, security, and governance for production-grade data products.
Minimum Requirements
Minimum 8 years of hands-on data or software engineering experience delivering production data platforms and pipelines.
Proficiency with Databricks, Spark, Delta Lake, AWS Glue, Python, PySpark, SQL, and Airflow or equivalent orchestration tools.
Experience managing AWS cloud-native ETL patterns, identity and access management security, and operational support.
Work Experience Required: 8 years in data engineering or software engineering.
Ideal Candidate Profile
Experienced in applying AI-assisted tools (GitHub Copilot, Claude) responsibly within the ETL data engineering lifecycle with controls for security and data privacy.
Strong background in infrastructure as code, automated quality and release controls, resiliency engineering, and secure-by-design implementations in cloud environments.
Familiarity with agentic automation, metadata management, data mesh concepts, and integration of AI agents with developer and observability tools is a plus.