How Remoteville checks and expires listings
Senior Data Engineer
Skills
Software As A ServiceAnalyticsBusiness IntelligenceData SystemsData WarehousingFinancial TransactionsFoundations
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 5–8+ years of data engineering experience, ideally in B2B SaaS or marketplace environments
- Strong SQL and data modeling foundations
- Hands-on expertise with Estuary Airflow dbt and Holistics or similar modern data stack tools
- Experience owning data quality end to end including testing and observability
- Ability to collaborate cross functionally and communicate clearly with technical and non-technical stakeholders
- Proven accountability for systems and roadmap themes from design through production
- AI-native workflow experience using AI tools productively in development
Nice to have
- Marketplace experience
- Transaction-platform experience
- Customer-facing analytics
- CPG domain knowledge
- LLM tooling integration
- Applied AI/ML pipeline work
Day to day
- Architect, build, and maintain the data infrastructure that moves and transforms marketplace data reliably at scale.
- Own the analytical schema in the data warehouse so internal analytics, customer reporting, and aggregate insights stay accurate and consistent.
- Design data quality standards, monitoring, and testing that keep trusted data available for product, data, and engineering teams.
- Partner across Product, Data, and Engineering to deliver reliable decision-making systems and data foundations for AI and ML applications.