Senior Data Engineer (Analytics Focus) - Remote

Overview

The TL;DR: We need someone who can turn millions of messy transactions into clean, fast, "aha moment" analytics for thousands of merchants. You'll build the data pipelines that power dashboards, design the warehouse schemas that make queries actually usable, and own the infrastructure that turns "we have data" into "we have insights."

In Short

• Building ETL/ELT pipelines that ingest, transform, and serve data at scale
• Designing warehouse schemas (star schemas, fact tables, the whole dimensional modeling thing)
• Creating pre-aggregated datasets so dashboards load fast and analysts stay happy
• Ensuring data flows reliably from source systems → transformations → analytics layer
• Partnering with analytics team to understand what data they actually need
• Optimizing the infrastructure so it doesn't cost a fortune or fall over
• Building data quality checks because garbage in = garbage out

Requirements

• 5+ years in data engineering (not just DBA work — actual pipeline and warehouse experience)
• SQL fluency — complex transformations, window functions, performance tuning
• ETL/ELT chops — you've built pipelines that process serious volume
• Data modeling experience — star schemas, SCDs, fact vs dimension tables
• Python or C# — for the stuff SQL can't do
• Cloud experience — Azure preferred (Data Factory, Azure SQL, Functions)

Benefits

• Generous time off plan
• Fully remote work & support to assist with making your remote office space as comfortable as possible!
• Continuous virtual coaching and support
• Comprehensive health benefits
• Subsidized gym membership
• Performance recognition
• Professional development program
• Growth opportunities (we really mean it!)