Senior Data Engineer

Summary

Join Clipboard Health, a fast-growing Series C marketplace, as a highly autonomous Senior Data Engineer. You will navigate the company's internal tools (Metabase, Zoom, Slack, Snowflake, dbt, Google Workspace, and custom automations) to investigate data, trace errors, and ensure data reliability. This remote role demands strong SQL and data modeling skills, familiarity with modern data stacks, and a skeptical mindset. You will access and investigate data, trace the logic behind key metrics, validate reporting accuracy, and flag data quality issues. The role requires independent work, reporting findings to support strategic priorities. Estimated annual compensation is $100,000–$135,000 USD (San Francisco-specific; actual compensation varies).

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

Experience supporting senior leadership with investigative or audit-style data work is a plus