Senior Data Engineer, ev.energy

• 5+ years in data engineering (or backend engineering with a heavy data focus)
• Hands-on at scale with a cloud warehouse (Snowflake ideally) and dbt; strong Python and SQL; solid data modeling, warehousing, and schema design
• Comfortable owning systems end-to-end in a fast-moving environment — you build it, you run it
• Already using AI coding tools day-to-day and excited to push how far they go

Desirable

• Data is at the heart of everything ev.energy does — from measuring charging events and grid impact to calculating the utility incentives we pay drivers. As we scale our data function, we're hiring a Senior Data Engineer to lead the design of our warehousing architecture and own our pipelines end-to-end, from ingestion through to the analytics and payouts they power
• Design, build, and own scalable data pipelines across our modern data stack (Fivetran, Snowflake, dbt, with Holistics and Hex for analytics), from ingestion to warehousing to delivery
• Lead architectural decisions across the data platform — including infrastructure like our OLake → Iceberg → Snowflake pipeline — setting technical direction and establishing performance and cost baselines
• Own data quality, lineage, and observability: freshness, completeness, schema-drift detection, cost-per-job, and SLAs — the correctness our incentive payouts depend on
• Partner with engineering and analysts on projects like telematics accuracy and the driver incentive reporting, turning business requirements into reliable, well-modeled data
• Model data for both operational and analytical use cases, and build the dbt transformation layers (staging / intermediate / mart) that keep it maintainable and transparent
• Use AI tooling (Claude, Cursor, and equivalents) as a core daily practice — to build pipelines, write and review SQL and dbt models, and move faster without cutting corners on quality
• Our team runs on AI-native infrastructure (agentic routines, shared skills, an internal competency framework); you'll use it, improve it, and bring the best of the ecosystem back to the team