Senior Software Engineer, Data Engineering

Job Overview

Omada Health is seeking a highly skilled and motivated Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining robust data architectures and engineering data models and pipelines, playing a critical part in ensuring the integrity, scalability, and performance of our data processing and products.

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 processes and data pipelines to ensure smooth and efficient data flow from various sources.
• Data Integration: Integrate diverse data sources, including APIs, databases, and third-party data, into a unified platform.
• Performance Optimization: Monitor and optimize the performance of data systems and pipelines to ensure low latency and high throughput.
• Data Quality & Governance: Implement data quality checks, validation processes, and governance frameworks to ensure data accuracy and reliability.
• Collaboration & Training: Partner with data scientists, analysts, and other stakeholders; train and collaborate with teammates in data engineering best practices.
• Technical Leadership & Documentation: Maintain comprehensive documentation; recommend policy changes and establish department-wide procedures.
• Production Operations: Monitor and manage the production environment to deliver data within defined SLAs.

Qualifications

Required

• 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 applying a variety of integration patterns for different use cases.
• Backend software development experience contributing to distributed computing development and data technologies.
• Experience implementing data pipelines and improving the performance of ETL processes and related SQL queries.
• Experience with data modeling for OLTP and OLAP applications.
• Experience with cloud platforms such as Amazon AWS.
• Proficiency in SQL, analytical SQL, and relational databases (e.g., MySQL, PostgreSQL).
• Experience working with massive parallel processing (MPP) databases (e.g., Redshift, BigQuery, Snowflake).
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience working with sensitive data (PHI / PII) and security best practices.
• Strong software engineering mindset (automated testing, maintainable code).

Preferred

• Bachelor’s degree in Computer Science or a similar discipline.
• Familiarity with workflow management tools (Airflow preferred) and cloud data warehouses (Amazon Redshift preferred).
• Familiarity with big data technologies (Lambda, Iceberg, Delta Lake, Spark, or Kafka).
• Knowledge of data modeling techniques (3NF) and tools (ER/Studio, ERwin).
• Familiarity with BI tools and data governance practices.
• Experience with NoSQL databases (document and graph databases).
• Experience building internal frameworks, development productivity tools, or data infrastructure automation.
• Experience using Generative AI tools to improve engineering workflows.