Omada Health · 1 day ago
Senior Software Engineer, Data Engineering
United States
Full-time
Remote
Senior Level
$179K/yr - $224K/yr
5+ years expOmada Health is on a mission to inspire and engage people in lifelong health. They are seeking a highly skilled and motivated Data Engineer to design, build, and maintain robust data architectures and engineering data models and pipelines, ensuring the integrity, scalability, and performance of their data processing and products.
Health CareMedicalTherapeuticsWellness
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
Qualification
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
Experience in backend software development to contribute to distributed computing development and data technologies, with broad experience across systems, contexts, and ideas
Experience implementing data pipelines and improving the performance of ETL processes and related SQL queries
Experience in data modeling for OLTP and OLAP applications
Experience with Cloud platforms such as Amazon AWS
Exceptional Problem solving and analytical skills
Experience working with sensitive data i.e. PHI / PII & security best practices
Familiarity with data governance practices and principles
Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL)
Proficiency in Analytical SQL (e.g. Analytics Queries, Distributed database queries) and experience working with massive parallel processing (MPP) databases (e.g., Redshift, BigQuery, Snowflake)
Proficiency in programming languages such as Python, Java, or Scala
Knowledge of data modeling techniques (3NF) and tools (e.g., ER/Studio, ERwin)
Software Engineering Mindset: Apply best practices to write elegant, maintainable code and understand automated testing concepts
Familiarity with business intelligence tools and environments
Familiarity with big data technologies (e.g., Lambda, Hadoop, Spark)
Excellent communication and collaboration skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders
Leading projects and tasks effectively with cross functional stakeholders minimal guidance
Preferred
Bachelor's degree in Computer Science or a similar discipline preferred
Familiarity with workflow management tools (Airflow preferred)
Familiarity with cloud-based data warehouses (Amazon Redshift preferred)
Experience with big data technologies such as Hadoop, Spark, or Kafka
Experience building internal frameworks or development productivity tools would be a big plus
Experience building data infrastructure, frameworks and automation is a big plus
Understanding automated testing concepts and ability to consistently apply those concepts
Benefits
Competitive salary with generous annual cash bonus
Equity grants
Remote first work from home culture
Flexible vacation to help you rest, recharge, and connect with loved ones
Generous parental leave
Health, dental, and vision insurance (and above market employer contributions)
401k retirement savings plan
Lifestyle Spending Account (LSA)
Mental Health Support Solutions
Company
Omada Health
Omada Health is a digital behavioral medicine company that helps members change their mindsets to improve health and build lasting change.
501-1000 employees
H1B Sponsorship
Omada Health has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (3)
2023 (3)
2022 (7)
2021 (6)
2020 (2)
Funding
Current Stage
Public CompanyTotal Funding
$528.52MKey Investors
FidelityPerceptive AdvisorsIntermountain Ventures
2025-06-06IPO
2025-05-27Secondary Market
2023-01-01Debt Financing· $80M
Leadership Team
Sean Duffy
Co-Founder & CEO
Sunil Kayiti
Chief Technology Officer
Recent News
Fierce Healthcare
2026-01-16
Longevity.Technology
2026-01-14
Company data provided by crunchbase