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.
Responsibilities:
- 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, and document known limitations.
- Contribute to a growing knowledge base of certified views and reporting standards.
Requirements:
- SQL: Advanced complex joins, window functions, CTEs, query optimization, and debugging production queries.
- Tableau: Strong hands-on dashboarding of calculated fields, LOD expressions, and performance tuning.
- Logical reasoning and 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 trade-offs to non-technical stakeholders clearly and concisely.