Senior Data Engineer — Remote-First, Equity & Bonus

Omada Health Inc.; Oregon; Hybrid; USD 179,000 - 224,000; Full time

Benefits offered by this job

Remote first culture

Equity grants

Health, dental, and vision insurance

Job summary

Omada Health is seeking a highly skilled Data Engineer to join our team in a data-driven capacity. You will design scalable data solutions, build robust ETL pipelines, and integrate diverse data sources to enable analytics and AI initiatives.

You will collaborate with data scientists, analysts, and engineers, ensuring data quality, governance, and performance while contributing to architecture and best practices across the data platform.

Qualifications

• 5+ years building, maintaining, and orchestrating scalable data pipelines.
• 3+ years with Airflow or Python-based data pipelines.
• Experience with integration patterns for diverse use cases.
• Backend software development experience in distributed data tech.
• Data pipelines optimization and ETL performance improvements.
• Data modeling for OLTP/OLAP; AWS experience; PHI/PII security awareness.

Responsibilities

• Design, develop, and implement scalable data solutions that fit org needs.
• Create and maintain logical/physical data models for BI and analytics.
• Build and optimize ETL processes and data pipelines from multiple sources.
• Integrate diverse data sources into a unified data platform.
• Monitor and optimize performance; ensure low latency and high throughput.
• Implement data quality checks and governance frameworks.
• Collaborate with data scientists, analysts, and engineers; document architectures.
• Provide training and uphold data engineering best practices; lead cross-team projects.

Skills

SQL

Python/Java/Scala

Airflow

Data modeling

AWS

Big data technologies

ETL development

Data governance

Education

Bachelor's degree in Computer Science or a similar discipline

Tools

Airflow

Redshift

PostgreSQL

S3

Kubernetes

Docker

Tableau

Kafka

Job description

Omada Health is seeking a highly skilled Data Engineer to join our team in a data-driven capacity. You will design scalable data solutions, build robust ETL pipelines, and integrate diverse data sources to enable analytics and AI initiatives.

You will collaborate with data scientists, analysts, and engineers, ensuring data quality, governance, and performance while contributing to architecture and best practices across the data platform.