Senior Data Engineer

Job not on LinkedIn

🕒 March 28

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

WorkWhile

WebsiteLinkedInAll Job Openings

51 - 200 employees

👥 HR Tech

☁️ SaaS

🤖 Artificial Intelligence

🔥 Funding within the last year

💰 $23M Series B - WorkWhile on 2025-06

HR Tech • SaaS • Artificial Intelligence

WorkWhile is an AI-powered labor and workforce-management platform that connects businesses with vetted, certified frontline workers for on-demand, temporary, and long-term assignments. The platform provides a full-stack, SaaS workforce solution—matching and scheduling talent across industries like warehousing, logistics, manufacturing, hospitality, facilities, and retail—while offering features such as background checks, certification support, next-day pay, a worker app, and machine-learning driven real-time labor management and insights. WorkWhile positions itself as a single source of truth for dynamic staffing needs, enabling businesses to scale flexibly with transparent pricing and data-driven staffing decisions.

📋 Description

• 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

🎯 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 • 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.

🏖️ 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