Senior Business Intelligence Engineer

About the role

Own the design, development, and delivery of scalable data models, semantic layers, and dashboards that serve business-critical reporting across Imprint.

Partner directly with Engineering, Product, Finance, Marketing, and Operations to translate ambiguous business questions into reliable, scoped data solutions.

Responsibilities

• Build and maintain dbt models that establish consistent, reusable data definitions and reduce ad hoc request volume through self-serve analytics infrastructure.
• Leverage AI-assisted development tools (Claude, Cursor, Copilot) to accelerate implementation, from SQL generation and model scaffolding to automated documentation, while owning the analytical design and validation.
• Own data quality, governance, and documentation practices for BI assets, ensuring dashboards and models are accurate, trustworthy, and discoverable.
• Surface insights proactively by identifying gaps and opportunities in the business, not just responding to inbound requests.
• Evaluate and adopt emerging AI tooling to improve team velocity, contributing to how the BI team integrates AI into its standard workflows.

Requirements

• Proven experience designing and delivering production-grade data solutions in a complex, high-scale environment.
• Deep SQL proficiency and strong data modeling fundamentals; the ability to read, validate, and direct complex queries matters more than raw writing speed in an AI-assisted workflow.
• Experience with a modern data stack (e.g., Snowflake or Databricks, dbt, Sigma or Looker).
• Strong ability to work directly with stakeholders, translating ambiguous business questions into clear, scoped data products that non-technical users actually adopt and trust.
• Active experience building with AI tools (Claude, Codex, Copilot, Cursor, or similar) integrated into daily analytical and engineering workflows, not just awareness.
• Comfort operating in a fast-moving startup environment where you own projects end-to-end, prioritize based on business impact, and move fluidly between writing production SQL and sitting with stakeholders to define what "good" looks like.

Qualifications

• Nice to have: Experience in fintech, payments, lending, or regulated financial environments.
• Nice to have: Experience building or scaling BI infrastructure at a high-growth startup, including governance and data quality frameworks from scratch.
• Nice to have: Familiarity with data orchestration tools (e.g., Airflow) and Python or other scripting languages for transformation and automation.
• Nice to have: Experience defining AI-augmented analytics workflows at a team level: AI-assisted code review, automated documentation, prompt-driven data exploration, or agentic patterns like MCP and tool-use applied to data workflows.

Skills

• SQL as the primary language, with Python for transformation and automation.
• AWS infrastructure.

Benefits

• Competitive compensation and equity packages.
• Leading configured work computers of your choice.
• Flexible paid time off.
• Full coverage, high-quality healthcare, including fully covered dependent coverage.
• Additional health coverage includes access to One Medical and the option to enroll in an FSA.
• 20 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents.
• Access to industry-leading technology across all of our business units, stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity.

Pay

$170K - $195K

Schedule

Full-time