Data Engineer at Brook Inc

Bellevue, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Jul, 26

Salary

150000.0

Posted On

25 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, dbt, Data modeling, Cloud warehouse, Snowflake, BigQuery, Databricks, Airflow, Dagster, Prefect, Semantic layer, Data pipelines, HIPAA compliance, LLM prompting, Data quality

Industry

Hospitals and Health Care

Description

Description About Brook Inc 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. Position Summary 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 Key Responsibilities Ingestion & Integration 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. Data Modeling & the Semantic Layer 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. Data Quality & Contracts 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. AI Grounding 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. Partnership Work closely with others on the data team, care, product, operations, growth and leadership stakeholders to define what the data needs to say. Knowledge, Skills, and Abilities 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. Preferred Experience 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. What You Bring Bias toward automation over toil. Skeptical rigor with AI output — trust through verification. Curiosity about the healthcare operations beneath the data. End-to-end ownership instinct: ingestion, modeling, quality, and the AI layer that sits on top. Working at Brook Fast-paced environment – Brook operates in two of the fastest changing industries in America – Healthcare and Technology. We move quickly to design tools and protocols based on customer and industry feedback. Thriving in an environment of change and continuous improvement is a core competency for all members of our team. Dynamic roles - We are a small and tight-knit team enthusiastically tackling difficult problems in an entrenched industry. All team members are expected to contribute to company protocols, provide product feedback and to generally think critically about our processes and care model. High expectations - We have big goals for the future. We expect dedication and positive collaboration from all our team to achieve them. This position is not eligible for relocation or visa sponsorship. Candidates must live within a commuting distance from the office. This is a hybrid role, onsite in the office required weekly along with remote work. Brook is as focused on our employees’ health as we are on that of our patients. Our Benefits program reflects that. We recognize that health does not just mean physical health, but mental and financial health as well. We make every effort to cover all those areas in our plan offerings. Benefits at Brook Health In addition to meaningful work in a mission-driven company, Brook offers a comprehensive benefits package designed to support the medical, financial and mental health wellbeing of our employees and their families. Healthcare Coverage Employee & Child(ren): Brook pays 100% of premiums for full-time employees and their child or children for Medical, Dental, and Vision coverage. This means there are no paycheck deductions for you or your child(ren). Spouse/Domestic Partner: 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 & Wellbeing 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. Financial Wellness & Security Income Protection: Brook provides Short-Term and Long-Term Disability insurance to all full-time employees, helping replace income during an illness or injury. Short-Term Disability works alongside any state or insurance benefits and Brook coverage to provide added financial support while you’re away from work. 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. The account is completely flexible — you decide what qualifies as an emergency and how to use the funds. Recognition & Community Employee Referral Bonus: Great people know great people. When you refer a candidate who is hired, you’ll receive a referral bonus. Brook Inc is an equal opportunity employer. We are committed to building an inclusive and diverse workforce. Brook does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, marital status, age, non-disqualifying physical or mental disability, national origin or ethnic origin, military service status, citizenship or any other protected characteristic covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Responsibilities

The Data Engineer will build and maintain robust data pipelines and semantic models to ensure reliable analytics for AI, clinicians, and executives. They will partner with the Applied AI team to anchor LLM outputs in rigorous, auditable data and maintain high standards for data quality and lineage.