Senior Data Engineer Engineering

About WorkWhile

WorkWhile is on a mission to help workers earn a better living and live better lives. More than 80 million Americans work hourly jobs often with unpredictable schedules that pay close to minimum wage and offer limited benefits leading to financial instability.

WorkWhile is revolutionizing frontline work by creating a more flexible and efficient labor market. Powered by AI the WorkWhile platform helps businesses quickly access high-quality talent. Workers benefit from same-day pay free telehealth services upskilling and the ability to choose shifts that match their skills and schedules.

We have the audacious goal to align incentives and solve inefficiencies in the labor market disrupting the $650 billion staffing and recruiting market. Backed by Khosla Ventures and recognized by the Inc. 5000 for 10x growth WorkWhile is reshaping the future of work.

About the role

WorkWhile is seeking a Senior Data Engineer to join the Engineering team and lead the development and operation of our data platform powering analytics ML models and operational intelligence across the WorkWhile staffing marketplace. In this role you will be responsible for designing building and maintaining data pipelines and infrastructure on Google Cloud Platform that enable our Data Science team to train and deploy models at scale - from demand forecasting and worker reliability prediction to dynamic pricing and retention modelling.

You will own and evolve our Dagster-based orchestration platform BigQuery data warehouse and the integrations that connect our PostgreSQL production database to our analytical layer. You will work closely with Data Science Product Engineering and Operations to ensure reliable well-modelled high-quality data is available where and when it’s needed. Your work will directly improve how WorkWhile matches workers with opportunities predicts marketplace dynamics and delivers a better experience for workers and businesses alike.

Expect to 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.

What you'll do

• Build and optimize data pipelines that ingest transform and model data from PostgreSQL Amplitude and external sources into BigQuery

• Own BigQuery data warehouse architecture: dataset organization table design partitioning clustering and query performance optimization

• Work to improve Ops ML platform capabilities and processes partnering with the Data Science team to support efficient and reliable ML training and pipelines

• Work on reverse ETL workflows and API integrations that push model predictions back into production systems

• Support analytics by ensuring clean performant datasets are available for self-serve reporting

• Collaborate with Engineering on Terraform-managed GCP infrastructure

• Optimize Cloud Tasks and Cloud Scheduler configurations for data refresh jobs and materialized view maintenance

What we're looking for

• 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

• Strong collaboration skills and a track record of partnering effectively with Data Science and Product Engineering teams

• Passion for building reliable well-tested data systems - you care about code quality (linting type checking CI) as much as pipeline uptime

Nice to have

• Experience with reverse ETL tools like Hightouch or Census

• Familiarity with BI tools such as Metabase or Looker

• Background in marketplace staffing or gig economy data domains

Benefits & Perks

• 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

WorkWhile has a diverse mission-driven and supportive culture—we look for people who want to take ownership are energized by ambiguity and strive to make a lasting impact. If this resonates with you we’d love to chat!

WorkWhile is an Equal Opportunity Employer. Women minorities individuals with disabilities and protected veterans are encouraged to apply.

What We Do

WorkWhile is an AI-powered next generation labor platform that helps businesses in light industrial hospitality and events achieve over 90% fill rates and reduce no-shows through AI and predictive machine learning. We ensure seamless shift execution with trained on-demand workers supported by on-site leads real-time performance monitoring and a robust accountability system. Our worker-first model boosts retention through benefits like next-day pay telehealth and free upskilling while our platform delivers real-time analytics and dedicated support for every client. By combining flexibility reliability and deep insights WorkWhile helps businesses scale efficiently and stay competitive.

Why Work With Us

WorkWhile is a technology platform with product and engineering at its core. Founded by alumni from Google Meta Yahoo and Airbnb continuous innovation is our strategy. We are an AI-native company that doesn’t just adopt new technologies we operationalize them at scale to solve real business challenges.

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