[Remote] Staff Analytics Engineer

Note: The job is a remote job and is open to candidates in USA. Carrum Health is a health tech company that connects large employers with top-tier specialty care providers through a value-based healthcare marketplace. The Staff Analytics Engineer will shape data architecture, build governed self-service analytics infrastructure, improve data quality and reliability, and partner with technical and business stakeholders to deliver trusted data products.

Responsibilities

• 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

Skills

• 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
• 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
• Databricks experience is a huge plus, as is experience leading platform migrations
• Bonus: you know healthcare: Knowledge of the healthcare tech industry and/or medical/pharmacy claims is a strong plus

Benefits

• Equity
• Annual bonus
• Flexible working hours
• Generous time off
• Paid parental leave
• Opportunities to connect virtually and in-person
• Stock option plan and performance bonus for eligible employees
• Flexible schedules and remote work
• Chicago and San Francisco offices available as an option
• Flexible PTO, within reason
• Summer Fridays (sign off @ 1pm local time)
• 15+ paid holidays, including Juneteenth, World Mental Health Day, and Carrum Health Day
• Annual holiday shutdown in December
• Health, vision, and dental insurance
• Employee Assistance Programs (EAP)
• 401K retirement plan
• An active employee-led Diversity, Equity, Inclusion, and Justice (DEIJ) committee alongside several employee resource groups (ERGs) that support parents, women, and various underrepresented groups

Company Overview