Senior Data Engineer

Role Overview

WorkWhile is seeking a Senior Data Engineer to lead the development and operation of our data platform powering analytics, ML models, and operational intelligence across the WorkWhile staffing marketplace.

What You Will Do

Build and optimize data pipelines, own BigQuery data warehouse architecture, improve Ops ML platform capabilities, and support analytics.

Why It Might Be a Fit

You will work in a fast-paced, collaborative environment where your contributions directly support WorkWhile’s mission to make hourly work more accessible, reliable, and rewarding for everyone.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, Mathematics, or equivalent experience
• 5+ years in data engineering or data platform engineering
• Experience with Dagster or similar orchestration tools (Airflow, Prefect)
• Expertise in SQL, with the ability to write and optimize complex analytical queries across BigQuery and PostgreSQL
• Proficiency building data pipelines in Python
• Experience maintaining data warehouses on BigQuery, Snowflake, or Redshift
• Hands-on experience with Google Cloud Platform services
• Familiarity with ML workflows and the ability to collaborate with Data Scientists on feature engineering, training pipelines, and model serving
• Experience with infrastructure-as-code (Terraform) and containerized deployments (Docker, ECS, Cloud Run, Kubernetes, etc.)
• Proficiency with data quality frameworks, monitoring, and observability tooling

Benefits

• Remote-friendly work culture with office hubs in SF, NY, Seattle & Toronto
• In-person company offsites
• Medical, dental, & vision coverage
• Flexible time off
• 401(k) with employer match
• WFH stipend to support your home office needs