Senior Data Engineer, Data Pipelines (Remote)

Segment (Twilio); United States; Remote; USD 156,000 - 195,000; Full time

Job summary

Omada Health, Inc. is seeking a Senior Software Engineer in Data Engineering to design, build, and maintain scalable data architectures and pipelines. You will collaborate with data scientists and analysts to meet data requirements and deliver reliable insights.

The role focuses on ETL optimization, data quality, and governance, leveraging AWS, Redshift, and modern data tooling to support analytics and ML initiatives.

Qualifications

• 5+ years in data engineering and building scalable data pipelines.
• Experience with Airflow and Python-based data pipelines.
• Strong SQL and data modeling skills.
• Experience with cloud data warehouses (Redshift, Snowflake, etc.).
• Familiarity with PHI/PII security and governance practices.

Responsibilities

• Design, build, and maintain scalable data architectures and data pipelines.
• Create and maintain data models to support BI, analytics, and reporting.
• Develop and optimize ETL processes across diverse data sources.
• Integrate data from APIs, databases, and third‑party sources into a unified platform.
• Monitor performance and enforce data quality and governance.

Skills

SQL

Python

Airflow

ETL

Data Modeling

Big Data

Education

Bachelor's degree in Computer Science or related field

Tools

Amazon AWS

Redshift

Postgres

Spark

Kubernetes

Docker

Job description

Omada Health, Inc. is seeking a Senior Software Engineer in Data Engineering to design, build, and maintain scalable data architectures and pipelines. You will collaborate with data scientists and analysts to meet data requirements and deliver reliable insights.

The role focuses on ETL optimization, data quality, and governance, leveraging AWS, Redshift, and modern data tooling to support analytics and ML initiatives.