Lead Data Engineer — AWS ETL & AI-Driven Cloud

JPMorganChase

Atlanta (GA)

On-site

USD 140,000 - 200,000

Full time

6 days ago
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Job summary

JPMorgan Chase in Atlanta, GA is seeking a Lead Software Engineer - Data Engineer for the Cloud Financial Management Technology group. You will be a core technical contributor on an agile team responsible for delivering trusted, secure, scalable production data pipelines on AWS.

Responsibilities include building secure production code, reviewing peers, driving AI-assisted engineering practices, enforcing validation standards, and guiding architecture discussions with internal teams and external

Qualifications

  • Formal training or certification in software engineering concepts and 5+ years of applied experience.
  • Experience with design, testing, and operational ownership of software systems.
  • Strong Python and AWS engineering experience, including IAM, VPC, KMS, CloudWatch.

Responsibilities

  • Develop secure, high-quality production code; review and debug code authored by others.
  • Lead AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
  • Establish consistent validation standards across the team, including secure coding, peer review, and automated testing.
  • Lead communities of practice across Software Engineering to support awareness and adoption of new technologies.

Skills

Python
AWS
IAM
VPC
KMS
CloudWatch
AWS Glue
Amazon EMR
AWS Lambda
Airflow / MWAA
CDC/incremental processing
Amazon S3
Amazon Redshift
Amazon Athena
Glue Data Catalog
Amazon Kinesis
Amazon MSK
CodePipeline
CodeBuild
CloudTrail
LLMs

Job description

JPMorgan Chase in Atlanta, GA is seeking a Lead Software Engineer - Data Engineer for the Cloud Financial Management Technology group. You will be a core technical contributor on an agile team responsible for delivering trusted, secure, scalable production data pipelines on AWS.

Responsibilities include building secure production code, reviewing peers, driving AI-assisted engineering practices, enforcing validation standards, and guiding architecture discussions with internal teams and external

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