Staff Data Engineer - AWS Python Data Platform Lead Remote

Join9am; San Diego (CA); Hybrid; USD 180,000 - 230,000; Full time

Benefits offered by this job

Professional development budget

Health, dental, vision insurance

Flexible PTO and WFH options

Job summary

9amHealth is seeking a Staff Data Engineer to own and evolve the data platform powering enterprise analytics. You will write production-grade Python and SQL, design architecture, and set standards for the team as it scales—while collaborating with clinical ops, product, finance, and engineering.

You will work with AWS services (Glue, S3, Redshift, Athena) and BI tooling to enable self-service analytics and AI-enabled insights across a distributed team.

Qualifications

• 10+ years of professional data engineering experience.
• Advanced Python, SQL, and production data pipelines.
• Experience with AWS data services (Glue, S3, Redshift, Athena).
• Strong data modeling skills (star/snowflake) and governance.

Responsibilities

• Define and own the data platform architecture, standards and coding practices.
• Build and maintain scalable ETL/ELT pipelines in Python using AWS Glue.
• Drive analytical data models and the semantic layer for self-service BI.
• Create integrations between data platforms and internal/third-party systems; contribute backend code.
• Mentor data analysts and data engineers; raise technical standards via code reviews.

Skills

Python

SQL

AWS

ETL pipelines

Data modeling

Tools

AWS Glue

Redshift

S3

Looker/LookML

CI/CD

Job description

9amHealth is seeking a Staff Data Engineer to own and evolve the data platform powering enterprise analytics. You will write production-grade Python and SQL, design architecture, and set standards for the team as it scales—while collaborating with clinical ops, product, finance, and engineering.

You will work with AWS services (Glue, S3, Redshift, Athena) and BI tooling to enable self-service analytics and AI-enabled insights across a distributed team.