Staff Data Analytics Engineer

Location: Americas - Remote, US - Remote, Canada - Remote, Mexico - Remote, LATAM - Remote

Department: Data

Location Type: REMOTE

Employment Type: FULL_TIME

Company Overview

Role

Key Responsibilities

• Own the semantic layer: Design and maintain the metrics, dimensions, and data models that serve as the single source of truth across the business — built to be queried by humans and AI alike.
• Architect for AI-readiness: Structure our Databricks and GCP-based data platform so it can reliably power AI-driven analytics agents — clean schemas in Unity Catalog, consistent naming conventions, and strong data contracts.
• Drive data quality end-to-end: Build observability, testing, and alerting into pipelines so we catch problems before stakeholders do.
• Enable self-serve analytics: Partner with product, clinical, and business teams to deliver tooling and dashboards that let them answer their own questions without filing tickets.
• Set the standard: Establish and enforce data modeling conventions, documentation practices, and code review norms across the data org.
• Collaborate cross-functionally: Translate ambiguous business questions into data solutions; work with product engineering to improve event logging and measurement coverage.

Qualifications/Skills

• 8+ years of analytics engineering or data engineering experience, with clear progression to staff-level scope and impact.
• Deep SQL expertise and strong Python skills.
• Strong data modeling fundamentals — you know what clean, extensible, well-documented models look like and can build and enforce that standard regardless of tooling. Experience with dbt is a plus.
• Experience with modern data stack tools: Databricks, Snowflake or BigQuery, Airflow or similar orchestration, Looker/Tableau or equivalent BI tools.
• Track record of building resilient, monitored, production-grade data systems — not just pipelines that work, but ones that stay working.
• Strong communicator who can make technical tradeoffs legible to non-technical stakeholders.

Nice-to-Have Skills and Experiences

• While the core competencies are essential, the following qualifications will distinguish exceptional candidates:
• Experience with health tech or regulated data environments (HIPAA, PHI/PII handling).
• Familiarity with Databricks Unity Catalog, Delta Lake, or Spark.
• Experience building or integrating with AI/LLM-powered analytics tools or data agents.
• GCP experience.

To be a strong fit, you embody our Core Values

• Ruthless Prioritization:
  • We don’t let perfect get in the way of progress.
  • We move quickly to drive value, not perfection.
  • We prioritize what drives impact.
  • We never compromise on standards of excellence.
• Member-First, Always:
  • We design and deliver like we’re caring for someone we love.
  • We create calendar, actionable, human experience.
  • We prioritize responsiveness, peace of mind, and outcomes.
  • We empower members with truth, clarity, and care.
• One Team, Moving Fast:
  • We are aligned in purpose, prioritization, and speed.
  • We gather diverse perspectives to make informed decisions.
  • We clear paths for each other and move fast together.
  • We communicate clearly and respectfully, rallying around shared goals.
• Radical Ownership, Relentless Execution:
  • We don’t just ship– we own outcomes and drive results.
  • We act with urgency and precision
  • We anticipate, initiate, and follow through.
  • We meet challenges with grit and pragmatism.
  • We embrace new tech to deliver better outcomes.
• Mission Over Ego:
  • We are ruthlessly aligned to our mission– and leave ego at the door.
  • We disagree and commit.
  • We don't tolerate politics or withholding information.
  • We operate with honesty, transparency, and respect.
• Sustained Integrity in Every Detail:
  • We earn trust by obsessing over accuracy, quality, and clarity in everything we do.
  • We prioritize clinical precision– data must be right.
  • We sweat the details because outcomes depend on them.

Why You'll Love Working With Us