Senior Data Engineer

Job description

**2–4 years in data engineering / analytics engineering, with at least one role involving production SQL + BI tooling.** **ABOUT THE ROLE** We're looking for a Data Engineer II to build and scale data pipelines and reporting infrastructure that power decision-making across the business. You'll work closely with Snowflake-based data warehouses, craft high-impact dashboards, and increasingly leverage AI tools to accelerate development and analysis. This role suits someone who thinks in systems, writes clean SQL, and treats AI copilots as a core part of the workflow — not an afterthought. **WHAT YOU'LL DO:-** - Design, build, and maintain SQL-based data pipelines and certified views for business reporting. Build and maintain Tableau dashboards for stakeholders across sales, risk, and leadership. - Partner with business/CXO stakeholders to translate ambiguous asks into clear data requirements. - Debug complex data issues (join logic, type mismatches, stale sources) with strong root-cause rigor Use AI tools (Claude, Copilot, etc.) actively to speed up query writing, debugging, and documentation. - Maintain data quality standards — flag unreliable sources, document known limitations. - Contribute to a growing knowledge base of certified views and reporting standards **MUST-HAVE SKILLS:-** - **SQL:** Advanced — complex joins, window functions, CTEs, query optimization, debugging production queries - **Tableau:** Strong hands-on dashboarding — calculated fields, LOD expressions, performance tuning **Logical reasoning & problem-solving:** Able to trace a wrong number back to a root cause (bad join, wrong grain, stale table) methodically - **AI-first mindset:** Comfortable using LLMs/AI coding assistants daily to write, debug, and validate code faster - **Communication:** Can explain technical tradeoffs to non-technical stakeholders clearly and concisely **GOOD TO HAVE:-** Fintech / Lending Domain, Snowflake, Python, Make.com / n8n, Loan Lifecycle & AUM Concepts