Lead Software Engineer - Databricks, Spark & AWS

JPMorgan Chase & Co.

Kentucky

On-site

USD 130,000 - 160,000

Full time

14 days+

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Job summary

JPMorgan Chase & Co. is looking for a Lead Software Engineer to enhance and deliver market-leading technology products within their Corporate Sector. The role requires extensive experience in software/data engineering, with a focus on building high-throughput data pipelines using Databricks and Apache Spark.

The ideal candidate will lead architecture efforts, enforce data quality governance, and implement CI/CD strategies. Strong proficiency in Python and/or Java is essential, along with hands-on experience with AWS services. The position is based in Kentucky.

Qualifications

  • 5+ years applied experience in software engineering.
  • 10+ years of professional software/data engineering experience.
  • Strong proficiency in Python and/or Java for automation.
  • Hands-on Databricks expertise, including Delta Lake.

Responsibilities

  • Lead architecture and delivery of high-throughput data pipelines.
  • Design secure data ingestion and transformation frameworks.
  • Build reusable libraries and frameworks in Python/Java.
  • Implement CI/CD for data projects and champion engineering standards.

Skills

Software engineering concepts
Databricks
Apache Spark
Python
Java
AWS
Git
CI/CD

Education

Formal training or certification in software engineering

Tools

Terraform
Kinesis
Glue
CloudWatch

Job description

JPMorgan Chase & Co. is looking for a Lead Software Engineer to enhance and deliver market-leading technology products within their Corporate Sector. The role requires extensive experience in software/data engineering, with a focus on building high-throughput data pipelines using Databricks and Apache Spark.

The ideal candidate will lead architecture efforts, enforce data quality governance, and implement CI/CD strategies. Strong proficiency in Python and/or Java is essential, along with hands-on experience with AWS services. The position is based in Kentucky.

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