Data Engineer II

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.