Senior Software Engineer, Data Engineering - Omada Health

Omada Health is on a mission to bend the curve of chronic disease. We are seeking a highly skilled and motivated Senior Data Engineer to join our team. In this role, you will play a critical part in designing, building, and maintaining robust data architectures, data models, and pipelines to ensure the integrity, scalability, and performance of our data platform.

Key Responsibilities

• Data Architecture: Design, develop, and implement scalable, secure, and efficient data solutions that meet organizational needs.
• Data Modeling: Create and maintain logical and physical data models to support business intelligence, analytics, and reporting requirements.
• Pipeline Engineering: Design, build, and optimize ETL/ELT processes and data pipelines to ensure smooth data flow.
• Data Integration: Integrate diverse data sources (APIs, databases, third-party data) into a unified platform.
• Performance Optimization: Monitor and optimize data systems and pipeline performance for low latency and high throughput.
• Data Quality & Governance: Implement quality checks, validation processes, and governance frameworks to guarantee data accuracy and reliability.
• Collaboration & Technical Leadership: Partner closely with data scientists, analysts, and stakeholders; train teammates and establish best practices and department-wide procedures.
• Production Management: Monitor and manage the production environment to deliver data within defined SLAs.

Qualifications & Experience

• 5+ years of experience building, maintaining, and orchestrating scalable data pipelines.
• 3+ years of experience as a data engineer developing or maintaining integration with software such as Airflow or any Python-based data pipeline codebase.
• Experience in backend software development, distributed computing, and cloud platforms (AWS preferred).
• Demonstrated expertise in data modeling for OLTP and OLAP applications.
• Experience implementing data pipelines and optimizing ETL processes and SQL queries.
• Experience working with sensitive data (PHI / PII) and security best practices.
• Knowledge of data governance practices and principles.
• Exceptional problem-solving, analytical, and cross-functional communication skills.
• Bachelor’s degree in Computer Science or a similar discipline preferred.

Technical Skills

• Languages & Databases: Python, Java, or Scala; SQL, Relational databases (MySQL, PostgreSQL), and MPP databases (Redshift, BigQuery, Snowflake).
• Data Modeling: 3NF modeling techniques and tools (e.g., ER/Studio, ERwin).
• Big Data & Ecosystem: Airflow, Spark, Kafka, Iceberg, Delta Lake, or AWS Lambda.
• Engineering Mindset: Strong application of software engineering best practices, maintainable code, and automated testing.

Bonus Points

• Experience with NoSQL databases (e.g., document and graph databases).
• Experience building internal data infrastructure, frameworks, or automation tools.
• Experience using Generative AI tools to improve engineering workflows, analytics, or platform capabilities.

Technologies We Use

Python, SQL, Apache Airflow, Redshift, Athena, Postgres, Appflow, S3, SNS, SQS, Kafka, Docker, Kubernetes, AWS infrastructure, Lambda, Tableau, Datadog, GitLabCI, Databricks, OpenMetadata.

Benefits & Perks

• Competitive salary with annual cash bonus
• Equity grants and Employee Stock Purchase Plan (ESPP)
• Remote-first work culture
• Flexible Time Off (FTO) and generous parental leave
• Health, dental, and vision insurance with above-market employer contributions
• 401(k) retirement savings plan
• Lifestyle Spending Account (LSA) and mental health support solutions