Staff Data Engineer

Responsibilities

We are representing a confidential climate-tech organization that is seeking a Staff Data Engineer to lead the design and scaling of their data platform. This role supports AI-powered analysis by moving large volumes of satellite imagery, model inferences, and network data through orchestrated pipelines reliably and on time.

Working remotely across Europe or Eastern North America time zones, you will collaborate closely with data, ML, and product engineers to:

• Architect and evolve the orchestration layer including asset graphs, quality checks, partitioning strategies, and scalability patterns
• 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 failure mode planning
• Drive the transition toward service-oriented architecture, decoupling tightly bound components into independently owned and deployed services
• Build event-driven workflows using durable messaging patterns to replace brittle coupling and manual coordination
• Establish observability, testing, and data quality frameworks that surface issues before they reach customers and enable full traceability
• Mentor engineers and define standards for building, testing, and operating data systems

What We're Looking For

Required qualifications:

• 10+ years of experience designing and building production-grade data pipelines and distributed systems
• Deep hands-on experience with Dagster (asset-based orchestration, partitions, sensors, production operations) or comparable experience with Airflow, Prefect, or similar tools with readiness to master Dagster
• Proven track record building and operating data pipelines at scale, with expertise in idempotency, backfills, and partitioning
• Experience preparing systems to handle high-demand periods with focus on testability and scalability best practices
• Strong system design skills with ability to reason about boundaries, contracts, coupling, and failure modes
• Practical experience designing service-oriented architecture, including versioning and operational continuity through migrations
• Strong Python skills and 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
• Comfort leading architectural discussions and mentoring other engineers
• Experience working in remote-first and globally distributed teams
• Deep motivation to work at the intersection of data engineering, distributed systems, and large-scale scientific data

Nice to have:

• Comfort working with geospatial data and specialized storage approaches
• 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
• Background in remote sensing, forestry, or the utility sector

Location requirements: Must be located and authorized to work in one of the following countries: United States, Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Switzerland, Denmark, or Canada. Time zone requirement: Europe (GMT/WET, CET, EET) or Eastern North America (NST, AST, EST).

How We Work With You

Our talent team at Get A Job.ai partners with this organization to connect them with exceptional data engineering leaders. When you apply through our platform:

• A Get A Job.ai recruiter will review your application and conduct an initial screening to understand your background and goals
• If there's a strong match, we will submit your profile to our client for consideration
• We'll guide you through each stage of the process and serve as your advocate throughout
• Please do not contact the client directly – all communication should flow through Get A Job.ai to ensure the best candidate experience

Pay

Compensation details will be discussed during the screening process and are competitive based on location and experience.

Equal Employment Opportunity: Get A Job.ai is committed to inclusive hiring practices. We encourage applications from candidates of all backgrounds and experiences, and we work with clients who share our commitment to building diverse, equitable teams.