Offer summary

Qualifications:

Strong SQL and data modeling skills., Familiarity with dbt, Snowflake, and Metabase., Ability to understand pipeline logic using Python or YAML., Experience supporting senior leadership with data investigations..

Key responsibilities:

Investigate data across various systems to identify inconsistencies.

Trace the logic behind key metrics and validate data accuracy.

Flag data quality issues before they affect decision-making.

Support strategic decisions by providing verified and reliable data.

Job description

Why Clipboard Health Exists:

We exist to lift as many people up the socioeconomic ladder as possible. We dramatically improve lives by letting healthcare professionals turn extra time and ambition into career growth and financial opportunity. We achieve this with our app-based marketplace that connects healthcare facilities and healthcare professionals, allowing professionals to book on-demand shifts and facilities to access on-demand talent.

About Clipboard Health:

Clipboard Health is a fast-growing Series C marketplace. We are a leader in our Long Term Care vertical and are expanding into several others (Dental Offices, Schools, etc).
We are a YC Top Company with a global, remote team of 600+ people. We have been profitable since 2022, and fill millions of shifts annually at partner workplaces across the US, where tens of thousands of professionals work with us every year.
We are looking for your help to keep growing so we can serve more professionals and workplaces.
To learn more about us, take a look at our website here.

📍We are hiring across the United States & Canada

Estimated annual compensation: $100,000–$135 000 USD. The reference range provided is specific to San Francisco. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, relevant education, qualifications, certifications, experience, and geographic location.

We’re hiring a highly autonomous Senior Data Engineer to navigate the entire stack of internal tools used across the company. This includes systems like Metabase, Zoom, Slack, Snowflake, dbt, Google Workspace, and custom automations to surface inconsistencies, trace errors, and ensure data presented to leadership holds up under scrutiny. While you may occasionally maintain or tweak pipelines, your main responsibility is investigative: understanding where the data comes from, how it’s defined, and whether it’s reliable enough to use.

This is a remote role in a fast-paced, high-accountability environment.

What You'll Do

Access and investigate data across systems like Metabase, Snowflake, dbt, and internal dashboards
Trace the logic behind key metrics and identify inconsistencies, gaps, or incorrect assumptions
Validate whether business-critical reporting is accurate and explain the root cause of any discrepancies
Flag silent data quality issues before they impact downstream decisions
When necessary, maintain or adjust pipelines or queries to support traceability or validation
Report findings and support strategic priorities with clean, verified data
Work autonomously without reliance on other teams for direction or support

What You Bring

Strong SQL and data modeling skills you can trace a metric to its raw source
Familiarity with dbt, Snowflake, Metabase, and modern data stacks
Ability to read and understand pipeline logic (Python, YAML, etc.)
High integrity, independence, and a strong sense of ownership
A skeptical mindset you don’t take dashboards at face value
Confidence navigating complex internal systems with minimal context
Experience supporting senior leadership with investigative or audit-style data work is a plus

Required profile