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$156,000 – $224,300
Listed on Omada Health’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Omada Health seeks a senior data engineer to design and optimize large-scale data pipelines and architectures supporting their healthcare analytics platform. This role suits experienced engineers who want to work on data infrastructure that powers clinical decision-making at scale.
Our summary, not Omada Health’s wording. The full posting is on their site.
Skills this role names
- Amazon Athena
- Amazon Redshift
- Amazon S3
- Amazon Web Services (AWS)
- Apache Airflow
- Apache Iceberg
- Apache Kafka
- AWS Lambda
- Docker
- Google BigQuery
- Kubernetes
- MySQL
- PostgreSQL
- Python
- Ruby on Rails
- Snowflake
- SPARK
- SQL
- Tableau
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What they ask for
Required
- 5+ years building and orchestrating scalable data pipelines
- 3+ years as a data engineer with Airflow or Python-based pipeline experience
- Backend software development experience with distributed systems
- Data pipeline implementation and ETL performance optimization
- SQL proficiency and relational database experience
- Analytical SQL and MPP database experience
- Programming proficiency in Python, Java, or Scala
- Data modeling for OLTP and OLAP applications
- AWS cloud platform experience
- Experience with sensitive data (PHI/PII) and security best practices
Nice to have
- NoSQL database experience
- Experience building internal frameworks or development productivity tools
- Experience building data infrastructure and automation
- Generative AI tools or technologies for engineering workflows
- Knowledge of data modeling tools like ER/Studio or ERwin
- Familiarity with business intelligence tools
- Big data technologies like Spark, Kafka, Lambda, Iceberg, or Delta Lake
- Workflow management tools like Airflow
- Cloud-based data warehouses like Redshift
- Data governance practices and principles