Staff Software Engineer (Data Platform)

Function Health is a company focused on empowering individuals to live healthier lives through innovative technology. They are seeking a Staff Software Engineer (Data Platform) to lead the design, development, and optimization of their data infrastructure, collaborating with cross-functional teams to ensure seamless data processing and access.

Responsibilities:

• Lead 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
• Contribute as a hands-on engineer while mentoring team members and shaping technical best practices
• Drive the long-term architectural vision of our data platform to support current and future business and product needs

Requirements:

• 8+ 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
• 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