Lead Data Engineer: Cloud, AI-Driven ETL & Analytics

JPMorgan Chase & Co.

Atlanta (GA)

On-site

USD 150,000 - 210,000

Full time

7 days ago

Be an early applicant

Application generator

An application made for this job — a tailored resume and cover letter that speak straight to the posting.

Get past ATS filters

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer - Data Engineer in the Cloud Financial Management Technology group to push the limits of scalable, secure data solutions. You will be a core technical contributor, driving production quality across ETL/ELT pipelines on AWS and guiding AI-assisted engineering practices.

The role emphasizes building trusted, market-leading technology with robust security, operational stability, and collaboration across agile teams.

Qualifications

5+ years of software/data engineering experience.
Strong Python and AWS cloud-native engineering skills.
Experience delivering production ETL/ELT pipelines on AWS (Glue/EMR).
Data platform experience with AWS analytics/storage services (S3/Redshift).
Knowledge of data quality, monitoring, CI/CD, and security governance.

Responsibilities

Executes creative software solutions and architectural problem solving.
Develops secure, high-quality production code and reviews others' code.
Promotes AI-assisted engineering practices to improve quality and speed.
Implements secure coding, automated testing, and validation standards.
Leads evaluation sessions with external/internal teams for architecture decisions.
Drives communities of practice in software engineering.