Staff Data Engineer (AI)

Location: Remote from the United States, Canada, the United Kingdom, the Netherlands, Denmark, Estonia, France, Ireland, Portugal, Sweden, or Switzerland. Time zone coverage is required for Europe (GMT/WET, CET, EET) or Eastern North America (NST, AST, EST).

Company

hirify.global develops AI-powered satellite imagery and vegetation-risk analysis to help electric utilities prevent outages, reduce wildfire risk, and build a more resilient grid.

What you will do

• Architect and scale the data platform supporting satellite imagery, model inferences, and utility network data.
• Design and operate production pipelines for large-scale geospatial and temporal data from ingestion through delivery.
• Lead system design across service boundaries, data contracts, migrations, and failure-mode handling.
• Build service-oriented and event-driven architectures with durable messaging patterns.
• Establish observability, testing, traceability, and data quality frameworks.
• Mentor engineers and define standards for building, testing, and operating data systems.

Requirements

• 10+ years of experience designing and building production-grade data pipelines and systems.
• Deep hands-on experience with Dagster, including asset-based orchestration, partitions, sensors, and production operations.
• Strong experience with data pipelines at scale, idempotency, backfills, partitioning, testability, and scalability.
• Strong system design and service-oriented architecture skills, including boundaries, contracts, versioning, coupling, and failure modes.
• Strong Python skills, experience with Google Cloud and Pub/Sub, and knowledge of event-driven patterns.
• Experience collaborating across engineering, ML, and product teams, leading architecture discussions, mentoring engineers, and working in remote-first distributed teams.

Nice to have

• Experience with geospatial data, remote sensing, forestry, or the utility sector.
• Experience building pipelines for ML training and inference.
• Experience with BigQuery, analytics engineering, warehouse modeling, and infrastructure as code.

Culture & Benefits

• Flexible, autonomous, and collaborative remote-first work environment.
• Location-specific compensation and benefits.
• Home office, coworking, and ongoing education budgets.
• Annual in-person team gathering and opportunities for occasional in-person collaboration.
• Mission-driven work focused on reducing wildfires, protecting natural resources, and addressing the climate crisis.