Senior Software & Data Engineer - AI-Driven Pipelines

JPMorgan Chase & Co.; Houston (TX); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health coverage

On-site clinic

Retirement plan

Childcare support

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorganChase Corporate Technology in Houston is seeking a seasoned data engineer to build secure, scalable data pipelines and production-grade software. You will drive AI-assisted engineering practices, automate testing, and enforce secure coding and peer review across the team.

Ideal candidates bring 5+ years of data engineering with Python/SQL and AWS, hands-on Java, and experience with Databricks. On-site collaboration in Houston with a focus on reliability and security.

Qualifications

• Formal training or certification in software engineering concepts.
• 5+ years of applied experience in software/data engineering.
• Strong experience with Python, SQL, and AWS.
• Hands-on Python and Java development for production-grade data pipelines.
• Experience leading AI-assisted development tools adoption.

Responsibilities

• Develop secure, high-quality production code and participate in code reviews.
• Lead the adoption of AI-assisted engineering practices for code review and testing.
• Establish validation standards: secure coding, peer review, automated testing.
• Improve SDLC tooling and automation for better reliability and speed.
• Identify remediation opportunities and automate recurring issues.

Skills

Data engineering

Python

SQL

AWS

Databricks

Java

AI-assisted tools

CI/CD

Education

Software engineering certification

Tools

AWS Tech Stack

Databricks

Job description

JPMorganChase Corporate Technology in Houston is seeking a seasoned data engineer to build secure, scalable data pipelines and production-grade software. You will drive AI-assisted engineering practices, automate testing, and enforce secure coding and peer review across the team.

Ideal candidates bring 5+ years of data engineering with Python/SQL and AWS, hands-on Java, and experience with Databricks. On-site collaboration in Houston with a focus on reliability and security.