[Hiring] Staff Analytics Engineer @Carrum Health

Role Description

You're excited about this opportunity because you will...

• Shape our data architecture:
  • Design and evolve high-scale dbt models and architecture standards that turn raw data into trusted, well-documented data products across the company.
• Build agent-safe infrastructure:
  • Put guardrails, grain definitions, and metadata in place so AI tools and agents can query our data accurately without bypassing governance.
• Power self-service in Hex:
  • Build natural-language-driven, self-service analytics experiences in Hex that let anyone at Carrum ask questions of our data directly, without needing to write SQL.
• Eliminate friction:
  • Solve recurring pain points—ambiguous metrics, silent pipeline failures, undetected data drift—with reusable frameworks and shared patterns.
• Raise the bar on quality:
  • Define what “done” looks like for a data product, building testing, freshness checks, and metadata ownership into how we ship.
• Partner across the org:
  • Work closely with Data Engineering, Data Scientists, and business stakeholders to align on use cases and shorten the path from question to trusted answer.
• Influence the roadmap:
  • Contribute to roadmap and goal-setting as a decision-maker, communicating tradeoffs clearly to technical and non-technical audiences alike.

Qualifications

• You have deep analytics engineering roots:
  • 7+ years in analytics engineering or a closely related data role, with a track record of owning architecture, delivery, and long-term maintenance end-to-end.
• You're fluent in SQL and Python:
  • You write SQL that's performant at scale and structured for readability, and you use Python to build reusable tooling, automation, and testing frameworks.
• You've mastered dbt:
  • You have advanced experience with dbt, including building team practices around testing, documentation, and modularity.
• You think in systems, not just queries:
  • You've made data architecture decisions with lasting structural impact, and you can explain the tradeoffs to engineers and business stakeholders in the same conversation.
• You elevate the people around you:
  • You've enabled others through mentorship, code review, process, or tooling—not because you have to, but because you want the team to level up.
• You've worked at scale in the cloud:
  • You have deep experience with cloud data warehousing (AWS Athena, Snowflake, Databricks, etc.) and cost minimization strategies. Databricks experience is a huge plus, as is experience leading platform migrations.
• You care about the semantic layer:
  • You've owned BI tools like Hex as a product, thinking about semantic layer health and cross-team data model standards, not just dashboard enablement.
• You thrive in ambiguity:
  • You're comfortable with a startup's pace, proactively seeking out high-value problems before they're on anyone's roadmap rather than waiting to be told what to do.
• Bonus: you know healthcare:
  • Knowledge of the healthcare tech industry and/or medical/pharmacy claims is a strong plus.

Benefits

• Stock option plan
• Flexible schedules and remote work
• Chicago and San Francisco offices available
• Self-managed vacation days, within reason
• Paid parental leave
• Health, vision, and dental insurance
• 401K retirement plan

Company Description

We’re a health tech company that brings value-based care to the masses. We help employers deliver a memorable patient experience, immediately lower healthcare costs, and drive better outcomes and achieve this through the power of technology and human-centered design. Since launching in 2014, we’ve partnered with Fortune 500 employers and top hospitals across the nation. We’ve been recognized by Harvard Business School and featured in TechCrunch, The Los Angeles Times, Washington Post, and Modern Healthcare. We believe we’re only scratching the surface of our opportunity and we’re looking for incredible people like you to help us realize our full impact.