Job Highlights

AI-extracted key information

The Staff Software Engineer, Data Engineering at Omada Health will lead the technical strategy and implementation of enterprise data architecture, governance foundations, and analytics enablement tooling. This role involves designing core data products, defining standards, and driving initiatives to ensure data products are scalable, governed, and trustworthy.

Experience Level

Senior Level

AI-powered analysis • Data extracted from job description
OmadaHealth logo

Staff Software Engineer, Data Engineering

OmadaHealthRemote, USAEngineering & Technical

Posted 2 weeks ago

Full-Time

Employment Type

Remote

Work Location

About This Role

Omada Health is on a mission to inspire and engage people in lifelong health, one step at a time. We rely on trusted, well‑governed data to power decisions across product, clinical, commercial, and care delivery teams.

Overview

We are seeking a Staff Software Engineer to lead the technical strategy and implementation of our enterprise data architecture, governance foundations, and analytics enablement tooling. In this role, you will be the primary engineering counterpart to the Senior Product Manager for Data Enablement & Governance, jointly shaping the roadmap for enterprise analytics, shared definitions, and the tools that help Omada answer questions faster and more reliably.

You will design and evolve core data products, define patterns and standards used across the company, and drive the technical execution of initiatives that ensure our metrics, reports, and data products are scalable, governed, and trustworthy. This is a high‑impact, cross‑functional Staff role working across Data Engineering, Data Science, Analytics, Product, IT, and business leaders.

Key Responsibilities

Enterprise Data Architecture

Own the vision and technical roadmap for Omada’s enterprise data architecture, spanning ingestion, storage, modeling, and serving layers for analytics and applied statistics use cases.

Design, implement, and evolve scalable, secure, and cost‑efficient data solutions (datalakes, warehouses, marts, semantic layers) that support governed, cross‑functional analytics and self‑service.

Define and socialize architectural patterns, data contracts, and integration standards used by data and product teams across the organization.

Anticipate future needs (e.g., new product lines, new modalities, AI/ML workloads) and drive proactive architectural changes rather than reacting to incidents or point‑in‑time requests.

Data Modeling, Quality, and Governance Foundations

Lead the design of logical and physical data models to support enterprise metrics, dashboards, and ad hoc analytics, with a focus on reusability and clear ownership.

Implement robust data quality, validation, and monitoring frameworks that underpin trusted “single source of truth” definitions for core concepts (e.g., active member, MAU, GLP‑1 member).

Partner with the Senior Product Manager, Data Enablement & Governance to translate governance decisions (definitions, ownership, change‑management processes) into concrete technical implementations in the data platform.

Set standards and review mechanisms to ensure new pipelines, marts, and reports align with enterprise definitions and governance policies.

Continuously improve performance, scalability, and cost‑efficiency of data workflows and storage; lead deep dives and remediation for complex production issues.

Enterprise Data Products Lifecycle

In close partnership with the Senior PM, define and deliver core, reusable data products (e.g., engagement, clinical, financial, client, care delivery datasets) that power dashboards, reporting, and self‑service analytics.

Co-Architect and implement technical foundations for AI‑assisted analytics tools, governed semantic layers, and reporting applications that make analysts and business users more efficient.

Partner with Product and Engineering teams owning tools like Amplitude, Tableau, and internal reporting tools to ensure consistent instrumentation, mapping to enterprise definitions, and scalable access patterns.

Translate business and product requirements into resilient schemas, data services, and interfaces that are usable, maintainable, and auditable.

Ensure production data delivery meets defined SLAs and supports downstream BI, reporting apps, and applied statistics workloads.

Play a key role in cross‑functional forums (e.g., Data Governance Committee, analytics communities) as the technical voice for feasibility, risk, and long‑term platform health.

Technical Leadership, Mentorship, and Culture

Lead large, multi‑team technical initiatives—from design to implementation and rollout—setting a high bar for design docs, reviews, and execution quality.

Mentor senior and mid‑level engineers, elevating the team’s skills in data modeling, pipeline design, governance, and platform thinking.

Help shape playbooks for how product squads and spokes engage with central data teams on new metrics, data products, and applied stats projects.

Partner closely with Analytics, Data Science, Product, and business leaders to ensure data architecture and governance decisions are aligned with company OKRs and measurable business value.

Proactively identify complexity, duplication, and fragility in existing systems; drive simplification and standardization with sustainable solutions.

Model Omada’s values in day‑to‑day work, fostering a culture of trust, context‑seeking, bold thinking, and high‑impact delivery.

About You

Experience

8+ years of experience building, maintaining, and orchestrating scalable data platforms and high‑quality production pipelines, including significant experience in analytics or warehousing environments.

Demonstrated Staff‑level impact: leading cross‑team technical initiatives, making architectural decisions that shaped a multi‑year roadmap, and influencing stakeholders beyond your immediate team.

Deep experience with cloud data ecosystems (e.g., AWS) and modern data warehouses (e.g., Redshift, Snowflake, BigQuery), including MPP query optimization.

Strong background in data modeling for OLTP and OLAP, and designing reusable data products for BI, reporting, and advanced analytics.

Hands-on experience implementing data quality, observability, and governance frameworks, ideally in a regulated or PHI/PII‑sensitive environment.

Experience partnering with Product Management and Analytics to define and deliver platform capabilities, not just point solutions.

Technical Skills

Strong proficiency in SQL (analytical and performance‑tuned) and experience with relational and MPP databases.

Proficiency in at least one modern programming language used in data engineering (e.g., Python, Java, Scala) and comfort applying software engineering best practices (testing, CI/CD, code review).

Experience with workflow orchestration and data integration tools (e.g., Airflow) and event‑driven or streaming patterns where appropriate.

Familiarity with BI and analytics tools (e.g., Tableau, Amplitude, or similar) and how they integrate with governed data layers.

Experience with data governance concepts (ownership, lineage, definitions, access controls) and their technical implementation in a modern data stack.

Familiarity with AI tools for development.

Communication & Working Style

Excellent communication and collaboration skills, with the ability to convey complex technical concepts to non‑technical stakeholders.

Highly self‑directed and comfortable operating in ambiguous, cross‑functional problem spaces, creating clarity and direction where none exists.

Strong sense of ownership and bias for impact; you care about outcomes for members, customers, and internal users, not just elegant systems.

Benefits

Competitive salary with generous annual cash bonus

Equity grants

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

is a between-visit healthcare provider that addresses lifestyle and behavior change elements for individuals managing chronic conditions. Omada’s multi-condition platform treats diabetes, hypertension, prediabetes, musculoskeletal, and GLP-1 management. With insights from connected devices and AI-supported tools, Omada care teams deliver care that is rooted in evidence and unique to every member, unlocking results at scale. With more than a decade of experience and data, and 29 peer-reviewed publications showcasing clinical and economic proof points, Omada’s approach is designed to improve health outcomes and contain costs. Our customers include health plans, pharmacy benefit managers, health systems, and employers ranging from small businesses to Fortune 500s. At Omada, we aim to inspire and empower people to make lasting health changes on their own terms. For more information, visit:

https://www.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, ph

Ready to Apply?

Click the button below to submit your application directly to OmadaHealth. Make sure your resume is up to date and highlights relevant experience for this role.

Apply Now at OmadaHealth
Save Time & Effort

Apply to Multiple Jobs with AI

Let our AI automatically apply to hundreds of remote jobs on your behalf. Just upload your resume and set your preferences.

500+

Jobs Applied

24/7

Auto-Apply

5 min

Setup Time

You Might Also Like