Data Engineer
About the role
- Build and support data pipelines using Bronze, Silver, and Gold architecture* Develop advanced SQL and Python/PySpark solutions for data processing and automation* Design and optimize dimensional and normalized data models* Troubleshoot pipeline, data-quality, and performance issues* Implement best practices for testing, monitoring, documentation, and production support* Partner with data engineers and analysts to deliver trusted datasets for analytics and BIRequirements* Hands-on Python/PySpark experience* Experience with Databricks and medallion architecture* Experience with database/data warehouse modeling and production data pipelines* Strong SQL skills, including CTEs, window functions, complex joins, and performance tuning* Familiarity with Spark, Delta Lake, Unity Catalog, and orchestration tools is a plus* Retail, distribution, inventory, merchandising, logistics, or supply chain data experience is highly preferred Job Type ContractCompensation50 - $60
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
