Senior Software Engineer, Data Platform

Function Health•Canada, KS

1d•Remote

About The Position

Function Health is the AI operating system for health, designed to empower people to live 100 healthy years. We are redefining how individuals understand, measure, and improve their health by moving beyond reactive care and enabling proactive, data-driven insight into human biology. Function has been recognized as one of Fast Company’s Most Innovative Companies of 2024, and is venture-backed by Andreessen Horowitz (a16z). Hundreds of thousands of members have joined Function to take control of their health. Through advanced diagnostics, deep biomarker testing, longitudinal data, and AI-enabled insights, Function equips members with actionable intelligence to take control of both the quality and length of their lives. Function recently announced a $298M Series B and is entering its next chapter of growth. As we scale, the quality and durability of our People systems, data, and insights will directly shape our ability to attract, retain, and support exceptional talent. 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 build the future.

Requirements

5+ years of experience in software engineering, with a focus on scalable data architectures.
Strong expertise in GCP (IAM, GCS, Pub/Sub, etc.) 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.
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.

Nice To Haves

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.

Responsibilities

Contribute to the design, development, and scaling of core data infrastructure using GCP, Spark, Databricks, and Fivetran.
Develop robust and maintainable ETL/ELT workflows that support diverse structured and unstructured data needs across the organization.
Implement and manage Change Data Capture (CDC) pipelines to enable near real-time data replication and synchronization.
Define and enforce data governance and compliance standards, including access control, auditability, lineage, and metadata management.
Build and manage streaming and batch data pipelines to serve high-impact use cases across analytics, product, compliance, and experimentation.
Act as a strategic partner to cross-functional teams (product, analytics, engineering, clinical) to ensure data is accessible, trustworthy, and impactful.
Drive the long-term architectural vision of our data platform to support current and future business and product needs.