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
You will be responsible for leading, documenting, and collaborating across teams for technical projects.

You will love this job if you:

You are passionate about building data-driven systems to enable Data Scientist, Data Analysts and AI/ML Engineers.
You want to make a difference to empower digital healthcare through Data-driven decision making.
You would like to learn how to build scalable, performant and reliable data pipelines.

About you:

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 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
Familiarity with workflow management tools (Airflow preferred)
Familiarity with cloud-based data warehouses (Amazon Redshift preferred)
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.

Technical Skills:

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, Iceberg or Delta Lake, Spark, or Kafka)
Software engineering mindset and an ability to write elegant, maintainable code while following engineering best practices

Communication Skills: Excellent communication and collaboration skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders.

Self-Directed: Leading projects and tasks effectively with cross functional stakeholders minimal guidance. You care about writing quality software and recognize that there are often many right answers. Ability to lead tasks and projects effectively.

Education: Bachelor’s degree in Computer Science or a similar discipline preferred.

Technologies we use: Ruby on Rails, Redshift, Athena, Postgres, SQL, Python, Apache Airflow, Appflow, S3, SNS, SQS, Kafka, Docker, Kubernetes, AWS infrastructure, Lambda, Serverless, Tableau, Bugsnag, Datadog, GitLabCI, Cursor, OpenMetadata, Databricks

Bonus Points for:

Experience with NoSQL databases (e.g., document and graph databases)

Experience building internal frameworks or development productivity tools would be a big plus.

Experience building data infrastructure, frameworks and automation is a big plus.
Experience using Generative AI tools or technologies to improve engineering workflows, automation, analytics, or data platform capabilities.

Benefits:

Competitive salary with generous annual cash bonus
Equity grants
Employee stock purchasing plan (ESPP)
Remote first work from home culture
Flexible Time Off 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
...and more!

It takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada!

Cultivate Trust. We listen closely and we operate with kindness. We provide respectful and candid feedback to each other.
Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road.
Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers.
Deliver Results. We reward impact above output. We set a high bar, we’re not afraid to fail, and we take pride in our work.
Succeed Together. We prioritize Omada’s progress above team or individual. We have fun as we get stuff done, and we celebrate together.
Remember Why We’re Here. We push through the challenges of changing health care because we know the destination is worth it.

About Omada Health: Omada Health (Nasdaq: OMDA) is reverse engineering the way healthcare is delivered in America, putting the space between doctor visits–where health is won or lost–at the center of care. Today's healthcare system poorly serves chronic conditions that require ongoing support outside of the exam room, like obesity, diabetes, hypertension, cholesterol, and musculoskeletal conditions. Omada’s virtual-first model combines human-led care teams, connected devices, and AI-enabled technology to deliver personalized care at scale, including support for GLP-1 therapy. Omada has served more than two million members since launch across 2,000+ employers, health plans, pharmacy benefit managers, and health systems. Learn more at omadahealth.com.

Omada is thrilled to share that we’ve been certified as a Great Place to Work! Please click here for more information.

We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Below is a summary of salary ranges, by geographic zone, for this role*. These ranges represent a good faith estimate of the minimum and maximum base salary for the position in that zone at the time of posting. Please refer to this resource for detail on zone designations.

Zone 1: $179,400 - $224,300

Zone 2: $171,600 - $214,500

Zone 3: $156,000 - $195,000

Please note that zones may be updated as market data changes but we will honor the range applicable to your zone (which is determined by your location) as of your application date.

*The actual offer, including the compensation package, will be within the posted range for the relevant zone and will be determined based on multiple factors, such as the candidate's skills and experience, and other business considerations such as internal equity.

Please click here for more information on our Candidate Privacy Notice.

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