Senior Software Engineer, Data Engineering

Omada Health is on a mission to bend the curve of chronic disease.

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.

Training: You'll train and collaborate with teammates effectively in data engineering best practices

Technical Influence/Leadership: Recommends policy changes and establishes department-wide procedures. Uses extensive experience and knowledge to resolve complex problems.

Monitor and manage production environment to deliver data within defined SLAs

How you can make an impact:

You’ll evaluate, benchmark, and improve the scalability, robustness, and performance of our data platform and applications

You'll make significant contributions to the architecture and design of our data processing platform

You’ll implement scalable, fault tolerant, and accurate ETLs frameworks.

You’ll gather and process raw data at scale from diverse sources

You’ll collaborate with product management, data scientists, analysts, and other engineers on technical vision, design, and planning

You’ll implement and maintain a high level of data quality monitoring in our analytics & ML ecosystem

You’ll train and collaborate with teammates effectively in data engineering best practices