Database Design & Management: Design, build, and maintain databases that power Hologram's operations, with a focus on simplicity, reliability, and scalability
Pipeline Development: Build and maintain ETL pipelines that move and transform data reliably, with monitoring and alerts to catch breakages fast
Database Reconstruction & Simplification: Audit existing pipelines and data models, identify complexity, and refactor bad decisions into clean, maintainable solutions — incrementally improving what exists rather than starting from scratch.
Data Modeling & Transformation: Own and evolve our dbt models, ensuring data is clean, well-documented, and usable by people outside of engineering
Analytics & Reporting: Write expert SQL to surface insights across the business — from customer usage trends to operational performance
Business Intelligence: Build and maintain dashboards and reports in Sigma that give internal teams clear visibility into the metrics that matter

5+ years in a data engineering or analytics engineering role
Expert-level SQL, including clean, performant query writing and strong data modeling fundamentals
Hands-on experience with dbt for data transformation and modeling, and Python for data processing
Experience with a BI tool (Sigma, Looker, Tableau, or similar), including building and maintaining dashboards
Experience with Snowflake or a similar columnar data warehouse
Demonstrated ability to navigate complex, legacy environments and improve them over time
A track record of prioritizing simplicity and delivering clean, maintainable solutions

Competitive compensation: All employees receive equity at hire and given transparent salary and equity formulas across the team
Health & time off: Flexible health coverage (up to 100% employee, 95% dependents), unlimited PTO with 2 weeks mandatory, monthly mental health days, and 14 weeks paid parental leave
Remote work support: $1,000 hiring bonus plus $250/month WFH Stipend (taxable) to help support your home office, productivity, professional development, or coworking expenses.
Financial security: Life and disability insurance fully covered, 401(k) plan (no match), and access to our Professional Development Fund after one year

Senior Data Engineer

Key skills