TapMango
Senior Data Engineer (Analytics Focus)
Vaga remota de Data Engineering com fit claro de localização do candidato.
Publicada18 de jul. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Canadá
Resumo da vaga
Senior Data Engineer (Analytics Focus)
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Most of your time:
- 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
Some of your time:
- 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
You should have
- 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
What We Offer
- 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!)
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