Data Engineer

Brook IncBellevue, WA
Hybrid

About The Position

Brook Health delivers care beyond the walls of the doctor’s office. Brook provides people living with chronic conditions a highly personalized experience enhanced by AI and powered by mobile apps, connected devices, and a team of health coaches and clinicians. We help people achieve their long-term health goals by supporting smart, daily decisions and partnering with their primary care physicians. Our product suite includes continuous remote monitoring, population health management tools, and a CDC-approved diabetes prevention program. Brook has an intentional, user-centric culture with high expectations for delivering better health outcomes for patients, providers, and health systems. Our data team is entering a once-in-a-career moment. AI is reshaping how healthcare organizations consume data. The repetitive “pull-a-report, answer-a-question” work that used to consume analyst teams is being handled increasingly well by AI. That frees the humans on our team to do the work that moves the needle: building the trustworthy data foundation that the AI, the clinicians, and the executives all depend on. The Data Engineers will sit at the heart of this transformation. The engineer is the business-intelligence and data-hygiene engine of the team — understanding the business and make sure analytics flow cleanly from source all the way to the AI that answers the question; not a back-room pipeline specialists. They build the pipes, they build the models, and they make sure that every answer the AI gives rests on correct, rigorous, auditable data. This hybrid position is based in Bellevue, WA, with in-office collaboration Monday through Thursday. Our office is in a great Bellevue location, a 10-minute walk from the new light rail stop. A once-in-a-career AI moment — Most data engineers today are specialists. This role is for someone who wants to own both pipelines and modeling, because the next generation of data teams will not have the luxury of deep specialization. AI has collapsed the distance between raw data and a stakeholder-ready answer. The engineers who thrive will be the ones who can think end-to-end, care about the business, and hold the semantic layer up as the source of truth the AI depends on.

Requirements

  • 4+ years building production data pipelines and/or modeling data in dbt.
  • Strong Python and SQL.
  • Production experience with a modern cloud warehouse (Snowflake, BigQuery, or Databricks).
  • Hands-on dbt and dimensional or semantic-layer data modeling experience.
  • A track record of owning reliability — not just shipping features, but keeping data flowing cleanly over time.
  • Daily production use of Claude or comparable LLM assistants — effective prompting, output verification, and agent chaining.
  • Clear written and verbal communication with both technical and non-technical partners.
  • Comfort handling PHI in a HIPAA-aligned environment.

Nice To Haves

  • Healthcare data experience: HL7, FHIR, claims, EHR extracts, or device telemetry.
  • Exposure to LLM-driven analytics patterns — text-to-SQL, RAG over metrics, or metric grounding for AI.
  • Streaming experience: Kafka, Kinesis, or Pub/Sub — for real-time vitals and alerts.
  • Infrastructure-as-code fluency (Terraform or equivalent).
  • MCP servers, agentic workflows, or LLM automations.
  • Experience shipping alongside data scientists or ML engineers.
  • Early-stage or high-growth startup background.

Responsibilities

  • Build and maintain batch and streaming pipelines that move PGHI protected data, data, device telemetry, billing, growth and operational data into our cloud warehouse.
  • Own orchestration (Airflow, Dagster, or Prefect) and warehouse-loading layers with production-grade reliability.
  • Partner on HIPAA-aligned data handling: encryption, access controls, audit trails, PHI segregation.
  • Shape raw data into clean, documented dbt models: staging, marts, tests, and lineage.
  • Define canonical metrics — adherence, monitoring minutes, alert response time, deterioration risk signals — in partnership with clinical and operations stakeholders.
  • Own the semantic layer (dbt Semantic Layer, Cube, MetricFlow, or similar) that grounds both traditional analytics and AI-driven queries.
  • Ship test coverage, anomaly detection, and data contracts with upstream systems.
  • Document models, metric lineage, and validation logic thoroughly — your docs are the substrate the AI uses to answer questions accurately.
  • Own reliability: monitoring, alerting, incident response, and backfills.
  • Partner directly with our Applied AI function to ensure every LLM answer is anchored in your data models and canonical metrics.
  • Evaluate AI query outputs against ground-truth metrics and help close the loop when the model gets things wrong.
  • Help shape how the data team itself uses AI tooling (Claude, Claude Code, Cursor, Copilot) in day-to-day work.
  • Work closely with others on the data team, care, product, operations, growth and leadership stakeholders to define what the data needs to say.

Benefits

  • Brook pays 100% of premiums for full-time employees and their child or children for Medical, Dental, and Vision coverage.
  • Brook contributes 50% of premiums for coverage of a spouse or domestic partner.
  • HSA Contribution: Employees who enroll in our HSA-eligible medical plan receive a Brook-funded contribution to help cover medical expenses such as deductibles, prescriptions, and office visits.
  • Medical Concierge: Brook provides a concierge service to help employees and their families manage healthcare needs like claims, referrals, and care coordination.
  • Mental Health Support: Brook supplements the mental health coverage included in our medical plan with additional resources. Employees have access to free therapy sessions through Spring Health, providing confidential, professional support when it’s needed most.
  • Flexible PTO: Our PTO program is truly flexible — no accruals and no preset limits. You and your manager decide what’s reasonable, so you can take the time you need to recharge. In addition, we provide dedicated sick time to support your health and well-being, and a generous holiday schedule that ensures time to rest and celebrate with family and friends.
  • Short-Term and Long-Term Disability insurance to all full-time employees, helping replace income during an illness or injury.
  • Life Insurance: Brook provides company-paid life insurance equal to one times salary, up to a set maximum.
  • 401(k) Retirement Savings: All employees (full-time and part-time) are automatically enrolled in our 401(k) plan. Brook provides a company match to help employees grow their retirement savings.
  • Emergency Savings Account (ESA): Brook helps employees build financial resilience by supporting contributions to an emergency savings account. Brook matches a portion of employee contributions, helping the fund grow faster.
  • Employee Referral Bonus: When you refer a candidate who is hired, you’ll receive a referral bonus.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

11-50 employees

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