Data Engineer, Analytics

Thatch Health; United States; Hybrid; USD 160,000 - 190,000; Full time

Job summary

Thatch Health is seeking an Analytics Engineer to take ownership of data models and dashboards. You will define how metrics are created, impacting real financial and healthcare decisions.

The role demands solid SQL and dbt skills along with a strong intuition for metric design. The position is remote and offers a dynamic, fast-paced work environment. Join us as we revolutionize employees' access to health benefits!

Qualifications

• Experience building analytics models and dashboards in a production environment.
• Strong SQL skills and experience with dbt or similar tools.
• Eagerness to work closely with stakeholders to translate problems into analytics.

Responsibilities

• Take ownership of metrics and data products from definition to adoption.
• Build and maintain dbt models that define how we measure the business.
• Enable self-serve analytics for faster team answers.

Skills

SQL

dbt

Python

Metric design

Data quality improvement

Tools

Snowflake

Omni BI

GitHub

Job description

Analytics Engineer at Thatch

Location: Remote (US)

Compensation: $160,000 - $190,000 USD

About the role

Thatch is rewiring how health benefits work. We build software that gives employees real control over how they use their benefits.

We're looking for an Analytics Engineer to own the data models, metrics, and dashboards the company runs on. You'll define how we measure the business, from source data through the numbers that leadership, growth, finance, and operations use every day. This work touches real money and real healthcare decisions. Consistency and reliability matter, but so does making the data simple to use for the teams who depend on it.

What you will do

• Take ownership of meaningful metrics and data products, from definition through adoption.
• Build and maintain dbt models that define how we measure the business.
• Design and maintain dashboards used by growth, finance, and operations to make day-to-day decisions.
• Improve data quality through testing, monitoring, and validation.
• Enable self-serve analytics so teams can answer their own questions and move faster.

What we are looking for

• Experience building analytics models and dashboards in a production environment.
• Strong SQL skills and experience with dbt or similar tools, and working knowledge of python for ad-hoc analysis.
• Strong intuition for metric design, including grain, aggregation, and edge cases.
• Eagerness to work closely with stakeholders to define problems and translate them into metrics, models, and analytic tools.
• Good judgment when balancing speed, accuracy, and maintainability.

We hire across levels and care most about the scope you’ve owned, the impact you’ve had, and how you make decisions.

Tools and tech stack

• dbt and SQL for modeling.
• Snowflake as our data warehouse (migrating from Redshift).
• Omni for BI, with tools like Hex for ad hoc analysis.
• GitHub with CI/CD for version control.
• AI tools (e.g., Claude, ChatGPT, Copilot) are woven into our daily development and analysis workflow.

You won’t work directly in our application layer day-to-day, but understanding source data from systems like Ruby on Rails is important.

Experience that stands out

• Experience with data testing, CI/CD, and building reliable, observable data systems.
• Partnering closely with finance, growth, or go-to-market teams.
• Building self-serve analytics tools that reduce ad hoc requests.
• Working in healthcare, fintech, or other complex, regulated domains.

How we work

• We move quickly and are biased toward action.
• We ship early, learn from real usage, and iterate.
• We operate with trust, ownership, and high empathy.
• We value clarity over ceremony and quality over shortcuts.

What to expect

We aim to move quickly, and most candidates complete the process within 2–3 weeks. You can expect:

• An initial conversation with a recruiter.
• A conversation with the hiring manager.
• A take-home analytics exercise.
• A review of your work, including modeling and coding exercises with the team, and a discussion with cross-functional partners.
• A final conversation with engineering and company leadership.

Equal Employment Opportunity Information

To help us comply with federal and state equal opportunity employment regulations, we invite you to voluntarily provide the following demographic information. This data is collected for statistical reporting purposes only and plays no role in the evaluation of your application. Your decision to provide or withhold this information will not impact your candidacy in any way. We appreciate your participation in helping us foster a fair and inclusive hiring process.