高级数据工程师

The climate crisis is the defining challenge of our time-but it's also the greatest opportunity for innovation, and a challenge we're proud to take on. At Overstory, we're harnessing cutting-edge technology to enable a resilient electrical grid that keeps communities thriving as our world changes.

The grid is the backbone of life as we know it. It powers hospitals, keeps food fresh, and ensures communities stay connected. But extreme weather, aging infrastructure, and growing wildfire risks are putting this critical system under pressure. All of this combined makes the electric utility industry the greatest opportunity for tackling climate change.

One of the leading causes of catastrophic wildfires and power outages? Trees and brush coming into contact with power lines.

That's where we help. At Overstory, we use AI and advanced satellite imagery to pinpoint and prioritize vegetation risks before they materialize. By giving utilities critical analysis on those risks, we're helping prevent outages, reduce wildfire risks, and accelerate the transition to a safer, more resilient grid.

Our team spans the Americas and Europe, and we work with utility partners across the Americas and beyond. We're outdoor enthusiasts, musicians, artists, athletes, parents, and adventurers. What unites us is a passion for solving complex problems, a commitment to climate action, and the belief that technology should be a force for good.

Join us to help us build a more resilient world together.

Role & Team

As a Staff Data Engineer at Overstory, you will lead the design and scaling of the data platform that enables Overstory's AI-powered vegetation analysis. Our analysis depends on moving enormous volumes of satellite imagery, model inferences, and utility network data through orchestrated pipelines reliably, repeatably, and on time to support customer decision-making. You'll own the architecture of that platform and set the direction for how it evolves.

You'll work closely with data, ML, and product engineers, as well as product teams, to make sure the data flowing into our models and out to our customers balances pragmatic delivery with durability, traceability, and scalability. As a senior technical leader, you'll mentor other engineers, drive architectural decisions, and set standards for pipeline design, service boundaries, and data quality across Overstory.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

In collaboration with data, ML, and product colleagues, you will:

• Architect and evolve our orchestration layer - asset graphs, quality checks, partitioning strategies, and the patterns that keep it scaling reliably.
• Design and maintain production data pipelines for large-scale geospatial and temporal data, from ingestion through transformation to delivery.
• Lead system design work across the data platform, including service boundaries, data contracts, and designing around the failure modes that come with each.
• Drive the shift toward a service-oriented architecture, decoupling tightly bound components into services that teams can own and deploy independently.
• Build event-driven workflows, replacing brittle coupling and manual coordination with durable messaging patterns.
• Establish observability, testing, and data quality frameworks so problems surface before customers see them, allowing any result to be traced back and explained.
• Mentor engineers and define the standards for how we build, test, and operate data systems.

Skills & Experience

• Experience thriving at the intersection of data engineering, distributed systems, and large-scale scientific data; deeply motivated by the opportunity to reduce wildfire risk and improve grid resilience through better data patterns and infrastructure
• 10+ years of experience designing and building production-grade data pipelines and systems
• Deep hands-on experience with Dagster - asset-based orchestration, partitions, sensors, and the operational side of running it in production (comparable experience with Airflow, Prefect, or similar is a reasonable substitute if you're ready to go deep on Dagster)
• Proven track record building and operating data pipelines at scale, with a real feel for idempotency, backfills, and partitioning
• Experience in preparing systems to handle periods of high demand with a focus on testability and scalability best practices
• Strong system design skills - you can reason about boundaries, contracts, coupling, and failure modes, and explain the tradeoffs to people who'll use and build on them
• Practical experience designing service-oriented architecture, including versioning and keeping things operational through migrations
• Strong Python skills and experience with Google Cloud
• Experience with Pub/Sub and event-driven patterns
• Strong communication skills and the ability to collaborate across engineering, ML, and product
• Comfortable leading architectural discussions and mentoring other engineers
• Experience in remote-first and globally distributed team

Nice To Have

• Comfort working with geospatial data and the ways that it's stored
• Experience building data pipelines that power ML training and inference
• Experience with analytics engineering tooling and warehouse modeling in BigQuery
• Infrastructure-as-code experience and comfort owning your systems in production
• Background in remote sensing, forestry, or the utility sector

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth's natural resources and helps solve our climate crisis

About Our Team

We are a fast-growing team of about 100 people from all over the world. Fifteen nationalities are represented and at last count we speak fourteen languages: English, Dutch, French, Spanish, German, Italian, Portuguese, Russian, Luxembourgish, Lithuanian, Bulgarian, Finnish, Estonian, and Afrikaans.

We work remotely from eleven countries and are looking for candidates that are living and working in one of them: United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Switzerland, Denmark and Canada. We gather once a year in-person for our unforgettable team gathering event. We also offer the option to occasionally meet up for in-person collaboration.

Diversity & Inclusion

The climate crisis is a human crisis that requires diverse perspectives to solve.

We place enormous value on diversity and believe that the best ideas emerge when people with different backgrounds and experience work together. We remain committed to scaling a team that reflects the communities we serve, and strive to uphold equitable and inclusive practices across every aspect of our business. We are responsible for creating and maintaining a culture where everyone - regardless of background - has a voice in building a sustainable future.

Our Values

Tackling the climate crisis is our greatest mission.

We act with urgency.

Our curiosity fuels our growth.

We recognize that change is constant, and we find joy and power in exploration.

We're rooted in diversity.

Just as ecosystems need biodiversity to thrive, our resiliency comes from our differences.

We care for each other.

We love the power of machines but we nurture each other as humans.

Trust is fundamental.

We assume the best in everyone, and we share ideas openly so that we have a positive impact.

Use of AI in Our Hiring Process

We sometimes use AI tools to support parts of our hiring process, such as helping us manage applications more efficiently or ensuring job descriptions are clear and inclusive. All hiring decisions are always made by people, not machines. Any data processed by AI is handled securely in line with GDPR and our Privacy Notice.