Staff Software Engineer (Data Platform)

TL;DR

Staff Software Engineer (Data Platform): Leading the design, development, and optimization of the data infrastructure with an accent on GCP, data engineering, Change Data Capture (CDC), ETL, governance, and streaming technologies. Focus on building and managing streaming and batch data pipelines to serve high-impact use cases across analytics, product, compliance, and experimentation.

Location: US - Remote • Canada - Remote

Company

Function was founded with a singular focus: empower you to live 100 healthy years.

What you will do

• 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.

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.
• Proficient in SQL and Python for data processing and automation.

Nice to have

• 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 a nd modern data modeling best practices.

Culture & Benefits

• Competitive salary, equity and benefits package.
• Flexible, fully-remote working hours.
• Dynamic work environment where creativity and innovation are encouraged.