About Brook Inc

Brook Health is a digital health company. Brook offers a set of products and services extending health-care-management beyond the walls of doctors’ offices and into people’s homes and their day-to-day lives. Brook provides people who are living with chronic conditions a highly personalized high-touch support via a smartphone app offering AI tools, data collection through connected devices, and real-time access to health coaches to make smart, daily decisions and to build healthy habits to achieve their long-term health goals. Brook also offers a CDC-approved preventative program for people who are at high risk for diabetes. For primary care providers, Brook offers SaaS tools for continuous remote monitoring, providing insights into their patient’s health needs, enabling a new model of care, and early preventative interventions with our own care delivery team resulting in better health outcomes.

Brook offers a dynamic work experience with team members in multiple time zones. We have a fast-paced, user-centric, high-expectation, constantly-improving-ourselves type of culture. Our goal is to change the approach to pre-condition and chronic condition care management, to use technology to support health-care providers in improving patients’ health outcomes.

Job Overview

We are looking for a technical and hands-on Data Engineering Manager to lead the design and development of our data infrastructure, pipelines, and modeling frameworks. You will be responsible for enabling real-time and batch data workflows that power analytics, clinical insights, AI capabilities, and product experiences. This is a key leadership role reporting directly to the VP of Engineering and collaborating closely with data analysts, data scientists, and cross-functional engineering teams.

This role is based in the Seattle area.

Key Responsibilities

• Lead the design, implementation, and scaling of our data infrastructure across the company, including ETL/ELT pipelines, warehouse design, and data governance.

• Own the data modeling strategy for analytics and operations, balancing business needs with long-term maintainability.

• Guide architecture decisions and hands-on development in modern data stacks, including Snowflake, dbt, and cloud-native solutions (e.g., AWS).

• Manage and mentor a small but growing team of data engineers, fostering a culture of high performance, collaboration, and technical excellence.

• Ensure data reliability, integrity, lineage, and observability across the stack.

• Collaborate with analytics, AI/ML, and product teams to build foundational datasets and services for decision-making, reporting, and intelligent features.

• Drive engineering best practices (testing, CI/CD, documentation, cost optimization) for data infrastructure.

• Contribute to and review code, especially for complex data workflows or infrastructure changes.

• Lead infrastructure modernization and performance tuning projects (e.g., event streaming, real-time ingestion, or hybrid data architectures).

• Allocate at least 60% of time to hands-on coding, architecture design, and critical incident resolution alongside the team.

• Evaluate and introduce AI-enhanced engineering tools where relevant (e.g., for pipeline monitoring, schema validation, or data anomaly detection).

Qualifications

• 10+ years of experience in data engineering or backend infrastructure roles.

• 3+ years managing engineering teams with a strong track record of execution and technical leadership.

• Deep expertise in data modeling, ETL/ELT architecture, and building robust data platforms.

• Proficient in SQL, Python, and tools like dbt, Airflow, and Snowflake (or similar cloud warehouses).

• Strong background in cloud-native data architecture, preferably on AWS.

• Comfortable working hands-on and guiding team members through technical deep-dives.

• Demonstrated ability to collaborate across engineering, data, and business functions.

• Experience building for analytics, operations, and AI/ML teams.

Preferred Experience

• Strong preference for candidates with hands-on experience in healthcare data platforms, clinical data integration, or HIPAA/SOC 2 compliance.

• Experience with event-driven architecture and real-time data processing.

• Prior work in high-growth startups or regulated environments.

Why Brook?

• High-Impact Role: Own a core growth channel in a sector of healthtech experiencing rapid growth.

• Mission-Driven: Join a company that’s improving patient outcomes and transforming the way healthcare is delivered.

• Fast-Growing Environment: Thrive in a dynamic, scale-up atmosphere where you’ll have the autonomy to create meaningful change and implement new ideas from day one.

• Cutting-Edge Tech: Work with innovative tools and have the freedom to introduce new solutions, including AI-driven approaches.

• Collaborative Culture: Partner with passionate teams in Marketing, Product, and Clinic Ops to drive measurable results.

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 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.

The pay range for this role is:

$160,000-$190,000 base salary USD per year (Seattle Metro Location for Job Posting)