Senior Data Engineer - Remote AI Data Platform

9amHealth

United States

Remote

USD 117,000 - 195,000

Full time

14 days+
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Benefits offered by this job

Health, dental, vision insurance
Flexible PTO and remote work options
Professional development budget

Job summary

9amHealth is seeking a Senior Data Engineer to own and evolve the data platform powering clinical operations, BI, and AI initiatives. You will build and maintain pipelines, data models, and analytics tooling in a fast-paced startup environment.

The role emphasizes production-quality Python and SQL, Looker/Tableau dashboards, and collaboration with clinical ops, product, and finance teams. Global team with San Diego and Vienna sites; flexible work options available.

Qualifications

  • 10+ years of professional data engineering or hybrid data/backend software role.
  • Expert-level Python for production pipelines and reporting systems.
  • Expert SQL including window functions, CTEs, and performance tuning.
  • Hands-on AWS services: Glue, S3, Redshift, Athena, IAM.

Responsibilities

  • Design, build, and maintain scalable data pipelines and ETL/ELT workflows in Python on AWS.
  • Write production-grade Python code for DWH logic and data transformations.
  • Develop analytical data models for self-service BI and analytics use cases.
  • Build dashboards/explores in Looker/Tableau and maintain data governance.
  • Contribute backend code in Java/Spring Boot or Python for data features.
  • Promote AI-assisted coding practices and tooling adoption within the team.
  • Write and optimize SQL assets across Redshift, Aurora/MySQL, and Athena.
  • Operate AWS data infra including Glue, S3, Redshift, CloudFormation, CloudWatch, IAM.

Skills

Python
SQL
AWS
Data pipelines
ETL/ELT
Looker/Tableau

Tools

AWS Glue
Redshift
S3
Athena
dbt
Airflow
Looker
Tableau

Job description

9amHealth is seeking a Senior Data Engineer to own and evolve the data platform powering clinical operations, BI, and AI initiatives. You will build and maintain pipelines, data models, and analytics tooling in a fast-paced startup environment.

The role emphasizes production-quality Python and SQL, Looker/Tableau dashboards, and collaboration with clinical ops, product, and finance teams. Global team with San Diego and Vienna sites; flexible work options available.

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