Senior Data Engineer

Employment Type: Full-time Location Type: Remote (United States & Canada) Estimated Annual Compensation: $100,000–$135,000 USD (Reference range specific to San Francisco; actual compensation will vary based on qualifications, experience, and geographic location.)

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Position Overview

Clipboard Health is seeking a highly autonomous Senior Data Engineer to take ownership of the entire stack of internal tools used across the company. This role is primarily investigative, focusing on understanding data origins, definitions, and reliability to ensure the accuracy of information presented to leadership. While occasional pipeline maintenance may be required, the core responsibility is to trace, validate, and ensure the integrity of data across various systems. This is a remote position within a fast-paced, high-accountability environment.

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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.

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About Clipboard Health

Clipboard Health is a fast-growing Series C marketplace and a leader in the Long Term Care vertical, expanding into other sectors like Dental Offices and Schools. We are a Y Combinator Top Company with a global, remote team of over 600 people. Profitable since 2022, we facilitate millions of shifts annually across the US, serving tens of thousands of professionals each year. We are looking for your help to continue our growth and serve more professionals and workplaces.

Learn more about us on our website.

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Responsibilities

• Access and investigate data across systems including Metabase, Snowflake, dbt, and internal dashboards.
• Trace the logic behind key metrics, identifying inconsistencies, gaps, or incorrect assumptions.
• Validate the accuracy of business-critical reporting and explain the root cause of any discrepancies.
• Proactively flag silent data quality issues before they impact downstream decisions.
• Maintain or adjust pipelines or queries as necessary to support traceability or validation.
• Report findings and support strategic priorities with clean, verified data.
• Work autonomously, requiring minimal direction or support from other teams.

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Requirements

• Strong SQL and data modeling skills, with the ability to trace a metric to its raw source.
• Familiarity with dbt, Snowflake, Metabase, and modern data stacks.
• Ability to read and understand pipeline logic (e.g., Python, YAML).
• High integrity, independence, and a strong sense of ownership.
• A skeptical mindset; ability to critically evaluate dashboards and data.
• Confidence in navigating complex internal systems with minimal context.
• Experience supporting senior leadership with investigative or audit-style data work is a plus.