[Hiring] Senior Data Engineer @Hologram

Role Description

This role owns the data layer behind Hologram's global IoT network. The infrastructure you build and maintain directly powers how our teams understand performance, serve customers, and make informed decisions at scale.

Responsibilities

• 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.

How You'll Make an Impact

• Be the data authority: You’re the one who knows where the data lives, what it means, and how to make it trustworthy across the org.
• Champion simplicity: You believe the best solution is usually the simplest one — and you bring that mindset to every model, query, and pipeline you touch.
• Enable decisions: You'll make sure the right people have the right information at the right time, turning data into a competitive advantage.
• Work with imperfect systems: You'll meet systems where they are, build a deep understanding of them, and improve them steadily over time.
• Build for reliability: You'll build pipelines that watch themselves, surfacing issues automatically so you can get ahead of problems before they ripple outward.

Qualifications

• 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.

Bonus Points

• Experience with Fivetran or similar data integration tools.
• IoT or connectivity industry experience.

Benefits

• 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.

What to expect in the interview process

• Pre-Screening Phone Call (5 min)
• Technical Intro call (30 min)
• Take-Home Technical Assessment (60-90 min)
• Technical Interview (50 min)
• Technical Presentation Interview Panel Interview (50 min)
• Executive Interview + Async Q&A (30 min)

Ready to apply?

If you share our values and our passion for connecting the world, we’d love to review your application! For any needed accommodations during the hiring process, please email [email protected] .