Sr. Data Engineer
About The Position
Hologram is building the future of IoT connectivity, delivering internet access to millions of connected devices worldwide. We process over 5 billion transactions per month across our global infrastructure—this isn't just another app, it's the invisible backbone powering everything from fleet tracking to smart city infrastructure. We tackle challenges of scale, reliability, and performance that few companies face. Engineering at Hologram Data at a scale most never see. Hologram processes over 5 billion transactions per month across a global IoT network. The data infrastructure behind that has to be fast, reliable, and trusted, because when it isn't, the impact is felt everywhere from customer dashboards to autonomous vehicles. Technical ownership with global impact. The data layer you'll own here isn't internal tooling, it's the infrastructure that teams across Hologram rely on to understand and operate a global IoT network. When you get it right, the impact is felt worldwide. What Makes a Hologrammer? We're looking for a data engineer who sees scale as an opportunity, treats reliability as a personal standard, and wants to build and refine the infrastructure that powers how Hologram understands and operates its business. You'll love working here if you: Crave genuine technical challenges: Processing billions of records and keeping business-critical systems reliable isn't intimidating to you, it's what gets you out of bed. Value tenacious ownership of outcomes: You understand why the work matters, take ownership of how it gets done, and follow through until it delivers something meaningful. Relentlessly pursue growth: Technology evolves rapidly, and so do we. You embrace new challenges, learn quickly, and help others grow alongside you. Think in systems: You see how your data models and pipeline decisions connect to the products and teams that depend on them, and you build and optimize with that context in mind. Data Engineer 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.
Requirements
- 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
Nice To Haves
- Experience with Fivetran or similar data integration tools
- IoT or connectivity industry experience
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
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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
11-50 employees
