Data Engineer

Role overview This Data Engineer role owns the pipelines, models, and data platform that make trustworthy analytics and AI possible for a healthcare technology organization. As a senior individual contributor, the engineer designs, builds, and operates an agent-augmented data platform while partnering across Product, Engineering, Analytics, Marketing, Sales, and Customer Success.

Responsibilities - Design, build, and operate the warehouse, transformation layer, orchestration, and serving surfaces that power analytics, product insight, and AI agents. - Deliver robust ingestion and ELT/ETL for product events, CRM, marketing, finance, and support sources, with clear contracts, retries, and observability. - Create well-tested dimensional and semantic models so metrics and entities stay consistent across dashboards, reverse ETL, and agents. - Implement tests, anomaly detection, lineage, SLAs, and incident response so freshness and correctness are operational rather than aspirational. - Partner with Engineering on event taxonomy, tracking plans, and production data contracts so product changes do not silently break downstream systems. - Stand up and continuously improve a fleet of data-platform agents that monitor pipeline health, diagnose failed jobs, flag cost and performance regressions, draft first-pass dbt and SQL scaffolds, summarize schema changes, and propose remediation PRs.

Requirements - 5+ years building and operating production data pipelines and warehouse models as a hands-on individual contributor. - Strong SQL plus experience with a cloud warehouse such as BigQuery, Snowflake, or Redshift; transformation tooling such as dbt or equivalent; orchestration such as Airflow, Dagster, or Prefect; and Python for platform automation. - Reliability mindset covering observability, testing, SLAs, incident response, and cost control. - Systems thinking that holds up under growth, schema change, and cross-functional pressure. - Agentic mindset with hands-on instincts for designing agent workflows, defining requirements, evaluating outputs, and grounding answers in lineage and docs. - Cross-functional influence with Product Engineering, Analytics, and GTM without relying on formal authority.

Benefits and work setup - Remote-first team with a $50 monthly WFH reimbursement and a new Mac laptop plus hardware on hire. - Medical, dental, and vision coverage starting day one, HSA/FSA plans, short- and long-term disability, life and personal accident insurance, a $40 monthly wellness stipend, EAP, and adoption assistance. - 401(k) with company match after three months, discretionary PTO plus 13 paid holidays, and competitive paid parental leave with a flexible return-to-work policy. - Employee referral program, yearly service anniversary stipend, peer recognition, employee resource groups, and ongoing internal webinars and training.