Senior Data Engineer

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Function was founded with a singular focus: empower you to live 100 healthy years. We’re doing that by using the best available technology to make sure people don't suffer or die a preventable death. Function has been recognized as one of Fast Company’s Most Innovative Companies of 2024, and is venture-backed by Andreessen Horowitz (a16z). 130,000+ members have joined Function to take control of their health.

We are growing our team and seeking out world‑class talent that deeply believes in our mission to positively impact global health, has a relentless bias toward action and a growth mindset. Function fosters a collaborative and dynamic environment, where every day we are building the future.

We’re looking for an experienced Senior Data Engineer to design, build, and scale the systems that power analytics and decision‑making across Function Health. You’ll partner closely with data scientists, analysts, and software engineers to ensure our data is accurate, accessible, and actionable — enabling every team to confidently leverage data in their work.

• Architect and build core data infrastructure leveraging Databricks, Spark, and modern ELT tools.
• Develop robust, maintainable data pipelines (batch and streaming) that support analytics, experimentation, and product insights.
• Build and scale self‑service data tools and abstractions that empower analysts, data scientists, and business users to access and use data independently.
• Define and uphold data governance and compliance standards, including access control, lineage, and metadata management.
• Collaborate cross‑functionally (product, engineering, clinical, operations) to translate business needs into reliable, performant data solutions.
• Mentor and guide team members, contributing to technical standards and best practices.
• Drive the long‑term data platform vision, balancing scalability, reliability, and usability for both technical and non‑technical audiences.

• 6+ years of experience in data engineering, with a focus on scalable data architectures.
• Strong expertise in GCP (IAM, GCS, Pub/Sub, etc.) or equivalent cloud platform and hands‑on experience with Spark and Databricks.
• Hands‑on experience with CDC technologies like Fivetran, or equivalent.
• Proficiency in ETL/ELT tools and frameworks (dbt, Apache Airflow, Dataform, etc.).
• Deep understanding of data governance principles, including compliance and security best practices.
• Experience designing data models, abstractions, and self‑service interfaces that improve usability and reduce bottlenecks.
• Demonstrated success in collaborating across functions to deliver data solutions for analytics, experimentation, or compliance.
• A balance of IC execution and leadership skills; you’re equally comfortable rolling up your sleeves or mentoring others.
• Familiarity with streaming data architecture, real‑time ingestion, and delivery frameworks.
• Proficient in SQL and Python for data processing and automation.
• Strong problem‑solving skills with the ability to work in a fast‑paced environment.
• Excellent communication and technical storytelling skills — you can align technical work with business value.

• Experience with Terraform or Infrastructure‑as‑Code (IaC) for data infrastructure automation.
• Background in HIPAA or other regulated environments with sensitivity to data privacy and compliance.
• Familiarity with the dbt Semantic Layer and modern data modeling best practices.
• Exposure to data observability platforms and practices.
• Familiarity with machine learning data pipelines.
• Exposure to multi‑cloud or hybrid‑cloud environments.
• Experience building scalable solutions in a 0‑1 environment.

• Bias Toward Action:
  Demonstrated ability to take initiative, make decisions under uncertainty, and move projects forward even in the face of ambiguity. We value individuals who are self‑starters and ready to act on opportunities and challenges alike.
• Entrepreneurial Spirit:
  Strong adaptability to changing business needs with a knack for building and optimizing…