Hazel Health is the nation's largest virtual provider of school-based healthcare services, and has been recognized by Fast Company as “one of the world’s most innovative places to work” in 2023.

By partnering with districts and health plans across the country, Hazel transforms schools into the most accessible front door to physical and mental healthcare. Today, Hazel's diverse team of licensed providers deliver therapy and medical services virtually (in school or at home) to over four million K-12 students — regardless of their insurance status or ability to pay. Hazel aims to remove all barriers to the mental and physical health care that children need to thrive: in school, at home, and in life.

Helping students and their families feel better takes a team of smart, dedicated people. As an integral member of the Hazel team, you will

• Make an Impact: Work with a team that is increasing equitable access to quality health care experiences for students and their families.
• Enable Scale: Work with a team that is building and professionalizing a high growth high impact social enterprise.
• Feel Valued: Work with a team that is being compensated competitively, developed professionally, and celebrated frequently for making a meaningful difference.

Check us out at Hazel Health Careers.

The Role:

The Lead Analytics Engineer is a senior technical leader (non-people manager) responsible for building, scaling, and optimizing Hazel Health’s data ecosystem to enable reliable analytics, machine learning, and data-driven decision-making. This role sits at the intersection of data engineering, analytics, and product, with a focus on creating robust data models, reusable transformations, and self-service data capabilities that empower analysts, data scientists, and business stakeholders.

As a Lead-level role, this individual will provide technical thought leadership, mentor peers, and help shape the long-term strategy of our data platform and analytics engineering practices.

Location: Remote

What You’ll Do:

Data Architecture & Analytics Engineering

• Design, implement, and maintain scalable data pipelines that transform raw data into clean, documented, and trusted datasets for analytics and machine learning.
• Develop and maintain semantic data models to support consistent metric definitions across the business.
• Drive standardization of data definitions and ensure cross-functional teams are aligned on a single source of truth.

Analytics Engineering Enablement

• Partner with analysts, data scientists, and business stakeholders to identify high-value data sets and make them accessible through self-service tools.
• Implement testing, observability, and quality frameworks to ensure data accuracy, freshness, and reliability.
• Contribute to and maintain data documentation and discovery tools, ensuring stakeholders understand what data exists and how to use it.

Leadership & Strategy

• Act as a technical mentor for analytics engineers and analysts, helping them adopt best practices for modeling, testing, and performance optimization.
• Lead design reviews, set coding standards, and establish scalable workflows for the analytics engineering team.
• Drive adoption of modern data stack practices (e.g., dbt, orchestration, CI/CD for data, feature stores for ML).
• Collaborate with product, engineering, and data science leadership to align data platform strategy with business goals.

What Excites Us:

• A well-documented, trusted data foundation that enables reliable, repeatable, and accessible data interactions across the company.
• High adoption of self-service data tools, reducing ad hoc bottlenecks on the data team.
• Consistent company-wide understanding of key metrics (e.g., time to care, utilization, referral conversion).
• Accelerated delivery of predictive models and advanced analytics, thanks to reusable and reliable feature sets.
• Recognized as a go-to technical leader and mentor within the data and analytics organization.

Minimum Requirements:

Technical Skills

• Expertise in SQL and data modeling for analytics (dimensional modeling, star/snowflake schemas, wide tables, feature engineering).
• Strong experience with modern data stack tools: dbt, Snowflake/Databricks, Git-based version control, and CI/CD for data.
• Familiarity with BI tools and semantic layers (e.g., Looker, Sigma, Tableau, Power BI).
• Experience integrating with machine learning pipelines and feature stores is a strong plus.
• Solid understanding of data warehousing principles, ETL/ELT, and data governance.

Professional Experience

• 7+ years in data engineering, analytics engineering, or related roles.
• Proven track record of building and scaling production-grade data models used by analysts, data scientists, and business stakeholders.
• Experience driving cross-functional alignment on metrics and data definitions at a company-wide level.
• Prior experience in healthcare, education, or regulated industries is a plus (understanding of HIPAA/FERPA is beneficial).

Leadership Qualities

• Ability to set technical direction and make tradeoffs between scalability, cost, and usability.
• Strong communication skills; able to translate complex data concepts into language understandable by leadership and non-technical stakeholders.
• Mentorship experience, fostering growth in less-experienced analytics engineers and analysts.
• Bias toward automation and reusability—build frameworks, not one-offs.wq

If you’re excited about this role but your past experience doesn’t align with every qualification in the job description, we encourage you to apply anyway.

Total compensation for this role is market competitive, with a base salary range of $165,000 - $195,000, an annual bonus up to $25,000,  a 401k match, healthcare coverage, paid time off, stock options, and a broad range of other benefits and perks. Review our benefits at Hazel Health Benefits.

We believe talent is everywhere, and so is opportunity. While we have physical offices in San Francisco and Dallas, we have embraced working remotely throughout the United States. While some roles may require proximity to our San Francisco or Dallas offices, remote roles can sit in any of the following states: AL, AZ, AR, CA, CO, CT, DC, DE, FL, GA, HI, IL, IN, IA, KY, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NJ, NM, NY, NC, OH, OR, PA, RI, SC, TN, TX, UT, VT, VA, WA, and WI. Please only apply if you live and work full-time in one of the states listed above or plan to relocate to one of these states before starting your employment with Hazel. State locations and specifics are subject to change as our hiring requirements shift.

We are committed to creating a diverse, inclusive and equitable workplace. Hazel Health values the minds, experiences and perspectives of people from all walks of life. We are proud to value diversity and be an equal opportunity employer. Hazel will consider qualified applicants with an arrest or conviction record for employment in accordance with state and local laws and "fair chance" ordinances. For all Hazel positions, a criminal background check is required following a contingent offer of employment. Learn more about working with us at Hazel Health Life.

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