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About the Role
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. You'll own the architecture of that platform and set the direction for how it evolves, working closely with data, ML, and product engineers to ensure data quality, durability, traceability, and scalability. As a senior technical leader, you'll mentor other engineers, drive architectural decisions, and set standards for pipeline design and data quality.
Responsibilities
- Architect and evolve our orchestration layer, including asset graphs, quality checks, and partitioning strategies.
- Design and maintain production data pipelines for large-scale geospatial and temporal data.
- Lead system design work across the data platform, focusing on service boundaries, data contracts, and failure modes.
- Drive the shift toward a service-oriented architecture, decoupling components into independently deployable services.
- Build event-driven workflows using durable messaging patterns.
- Establish observability, testing, and data quality frameworks for tracing and explaining results.
- Mentor engineers and define standards for building, testing, and operating data systems.
Requirements
- Experience thriving at the intersection of data engineering, distributed systems, and large-scale scientific data.
- 10+ years of experience designing and building production-grade data pipelines and systems.
- Deep hands-on experience with Dagster (or comparable experience with Airflow, Prefect, or similar).
- Proven track record building and operating data pipelines at scale, with a focus on idempotency, backfills, and partitioning.
- Experience preparing systems for periods of high demand, emphasizing testability and scalability.
- Strong system design skills, including reasoning about boundaries, contracts, coupling, and failure modes.
- Practical experience designing service-oriented architecture, including versioning and operational migrations.
- Strong Python skills.
- Experience with Google Cloud.
- Experience with Pub/Sub and event-driven patterns.
- Strong communication skills and ability to collaborate across engineering, ML, and product teams.
- Comfortable leading architectural discussions and mentoring other engineers.
- Experience in remote-first and globally distributed teams.
- Comfort working with geospatial data and its storage methods.
- 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 systems in production.
Skills
- Data Engineering
- Distributed Systems
- Large-scale Scientific Data
- Dagster
- Airflow
- Prefect
- Idempotency
- Backfills
- Partitioning
- Testability
- Scalability
- System Design
- Service-Oriented Architecture
- Python
- Google Cloud
- Pub/Sub
- Event-Driven Patterns
- Communication
- Collaboration
- Mentoring
- Geospatial Data
- ML Data Pipelines
- Analytics Engineering
- BigQuery
- Infrastructure-as-code
Location
- Europe (GMT/WET, CET, EET)
- Eastern North America (NST, AST, EST)
Work Type
- Remote-first
- Globally distributed team
Experience Level
- Staff
- 10+ years of experience
Salary/Compensations
- Competitive, location-specific compensation
Benefits
- Flexible, autonomous and collaborative working environment rooted in trust
- Home office stipend
- Coworking budget
- Ongoing education budgets
About the Company
- Overstory is an AI-powered vegetation analysis company.
- Our mission is to reduce wildfire risk and improve grid resilience.
- We are mission-driven and focused on protecting earth’s natural resources and solving our climate crisis.
Equal Opportunity
- 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.