Software Engineer II, Data Engineering

Omada Health is on a mission to inspire and engage people in lifelong health, one step at a time. 

Job overview: We are dedicated to leveraging data to drive strategic decision-making and operational efficiency. Our team is passionate about harnessing the power of data to solve complex problems and deliver impactful insights.

We are 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. This role will play 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 the needs of the organization.
• 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 (Extract, Transform, Load) 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 data platform.
• Performance Optimization: Monitor and optimize the performance of data systems and pipelines to ensure low latency and high throughput.
• Data Quality and Governance: Implement data quality checks, validation processes, and governance frameworks to ensure the accuracy and reliability of data.
• Collaboration: Partner closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs.
• Documentation: Maintain comprehensive documentation of data architectures, models, and pipelines for ongoing maintenance and knowledge sharing.
• Monitor and manage production environment to deliver data within defined SLAs 

About you: 

Experience

• 3+ 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.
• Experience in backend software development to contribute to distributed computing development and data technologies.
• Experience building and improving ETL processes and related SQL queries.
• Experience with cloud platforms such as Amazon AWS.
• Familiarity with workflow management tools (Airflow preferred).
• Bachelor's degree or equivalent industry experience

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