Senior Data Engineer, Analytics Focus

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🕒 January 31

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TapMango

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51 - 200 employees

TapMango strengthens relationships by providing a Customer Engagement Platform offering businesses innovative solutions through their own loyalty program.

📋 Description

• You're the bridge between raw operational chaos and polished analytics. • 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 • Making sure 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) • Bonus points for SaaS or multi-tenant analytics experience • Restaurant/retail/loyalty domain knowledge • Real-time or near-real-time data pipeline experience • Having opinions about dbt, Airflow, or modern data stack tools

🏖️ 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!)