Staff Data Engineer — Remote, Flexible PTO, AI‑Driven Data Platform

9amHealth; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Health, dental, vision insurance

Flexible PTO

Work from home options

Job summary

9amHealth is hiring a Staff Data Engineer to own the data platform powering our AI-enabled, virtual specialty care service. You will write production-grade Python and SQL, shape architecture, and set coding standards while working hands-on with AWS services and BI tools.

The role emphasizes building scalable ETL/ELT pipelines on AWS Glue, managing data quality, and enabling self-service analytics for cross-functional teams.

Qualifications

• 10+ years of professional experience in data engineering or a hybrid data/software engineering role.
• Expert-level Python: production data pipelines, ETL, and reporting systems.
• Expert-level SQL: window functions, CTEs, recursive queries, and optimization.
• Hands-on with cloud data services, ideally AWS (Glue, S3, Redshift, Athena).
• Production experience with a cloud data warehouse, especially Redshift.
• Experience handling PHI with appropriate access controls and compliance.
• Solid data modeling skills: star/snowflake schemas, slowly changing dimensions.
• Ability to set technical direction and standards used by other engineers.
• Professional use of AI-assisted development tools with sound judgment.

Responsibilities

• Define and own architecture, standards, and coding practices for the data platform.
• Evaluate data technologies and contribute to platform roadmap with cost/performance focus.
• Design, build, and maintain scalable ETL/ELT pipelines in Python using AWS Glue.
• Drive analytical data models and semantic layers powering self-service BI.
• Build integrations between data platform and internal/3rd-party systems; contribute backend code.
• Set technical bar for AI-assisted development practices across the team.
• Author, optimize, and maintain complex SQL/db objects (views, procedures) in Redshift.
• Operate and optimize AWS data infrastructure (Glue, S3, Redshift, Athena).
• Own data quality, governance, reliability; monitor and respond to incidents.
• Support AI/ML initiatives with data prep, feature engineering, model monitoring.
• Mentor data analysts and engineers; raise technical standards via reviews.

Skills

Python

SQL

Data pipelines

CI/CD

Data modeling

AI-assisted development

Executive communication

Tools

AWS Glue

S3

Redshift

Athena

Looker/LookML

Terraform

CloudFormation

Docker

Airflow

Apache Spark

Job description

9amHealth is hiring a Staff Data Engineer to own the data platform powering our AI-enabled, virtual specialty care service. You will write production-grade Python and SQL, shape architecture, and set coding standards while working hands-on with AWS services and BI tools.

The role emphasizes building scalable ETL/ELT pipelines on AWS Glue, managing data quality, and enabling self-service analytics for cross-functional teams.