Senior Data Engineer

About the role

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.

What we're looking for

• 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

Also nice to have:

• Experience supporting production ML or real-time analytics workflows
• Familiarity with CDC / streaming (Apache Iceberg, S3) and BI tooling (Holistics, Hex)
• Background in energy, IoT, payments, or another high-volume, correctness-critical domain

Responsibilities

• 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

AI-first development

• 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

Benefits

• Equity - you'll own a part of the business through our share options program
• Healthcare options - to help keep you and your family in tip-top condition (provided by Cigna & Guardian)
• Life and disability insurance
• Co-working access via WeWork (if you'd like it)
• Annual 'Team Week' whole company offsite
• L&D allowance of $1,300 per year - everyone is learning, developing and challenging themselves so we have a professional development fund per year for you to learn new skills

Pay

The salary range for this role is $106,200-$130,100 USD.

Schedule

This role is fully remote in the US (preferably East Coast). The majority of people at ev.energy work on a fully remote basis, with a small number of roles based on-site in our testing sites. We balance our remote set up by getting everyone together once a year for an offsite.