Design, build, and own scalable data pipelines and warehousing architecture from ingestion through analytics and incentive payouts. Lead data platform architecture, dbt modeling, data quality, lineage, observability, performance, and cost management. Partner with engineers and analysts on telematics accuracy and driver incentive reporting. Use AI coding tools daily to develop and review pipelines, SQL, and data models.
About ev.energy
We are building the world's largest EV-centric virtual power plant (VPP). By connecting to vehicles, chargers, batteries, solar, and other distributed energy resources, we turn households into flexible grid assets that balance supply and demand, preventing blackouts and reducing reliance on fossil fuels.
We are scaling rapidly across North America and Europe. We are moving fast, we are AI-first, and we are looking for builders who want to power the grid of the future.
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
What you’ll do
Benefits
The salary range for this role is $106,200-$130,100 USD.
Key benefits include:
Location & how we work
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.
This means that most of our people work from home, but we're happy to provide co-working subscriptions if you'd like to spend time at a WeWork (or other co-working space close to you).
We balance our remote set up by getting everyone together once a year for an offsite, as we know that spending time together IRL is super important.
Belonging at ev.energy
We are an equal opportunity employer and value diversity: we do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. If you'd like a copy of our DE&I policy you can reach us at [email protected]. We'll always do our best to accommodate reasonable adjustments to the interview process if needed - just let us know.
We are building the world's largest EV-centric virtual power plant (VPP). By connecting to vehicles, chargers, batteries, solar, and other distributed energy resources, we turn households into flexible grid assets that balance supply and demand, preventing blackouts and reducing reliance on fossil fuels.
We are scaling rapidly across North America and Europe. We are moving fast, we are AI-first, and we are looking for builders who want to power the grid of the future.
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
- 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
What you’ll do
- 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
Benefits
The salary range for this role is $106,200-$130,100 USD.
Key benefits include:
- 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
Location & how we work
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.
This means that most of our people work from home, but we're happy to provide co-working subscriptions if you'd like to spend time at a WeWork (or other co-working space close to you).
We balance our remote set up by getting everyone together once a year for an offsite, as we know that spending time together IRL is super important.
Belonging at ev.energy
We are an equal opportunity employer and value diversity: we do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. If you'd like a copy of our DE&I policy you can reach us at [email protected]. We'll always do our best to accommodate reasonable adjustments to the interview process if needed - just let us know.
Similar Jobs
Legal Tech • Software • Generative AI
Own Eve’s data platform end to end, including ingestion, orchestration, incremental dbt models, Snowflake administration, Terraform infrastructure, observability, access controls, and pipeline reliability. Build schema-change detection, freshness SLAs, CI environments, and incident processes while managing performance and compute costs. Partner with analytics engineers and stakeholders to maintain trusted data for reporting and AI systems, using AI-assisted development and documenting platform standards.
Top Skills:
AirflowClaude CodeDbtFivetranGithub ActionsIcebergMcp ServersParquetPythonSnowflakeSQLTerraform
Big Data • Cloud • Productivity • Software • Database • Analytics • Automation
Build and maintain Databricks-based data platforms, including ingestion, transformation, storage, governance, data modeling, and serving pipelines. Establish medallion architecture standards, canonical data models, quality controls, lineage, schema evolution, and reliable batch or incremental processing. Improve pipeline observability, scalability, idempotency, and recoverability while moving curated data to systems such as ClickHouse. Collaborate across application and analytics teams to create durable, governed production datasets.
Top Skills:
Amazon AuroraAmazon RdsApache AirflowSparkBigQueryCdcClickhouseCloud Object StorageDatabricksDelta LakeIamOpenmetadataPostgresSnowflakeUnity Catalog
AdTech • Consumer Web • Digital Media • eCommerce • Marketing Tech • SEO
Build and support scalable data platforms and pipelines, leading migrations such as Snowflake to BigQuery and transitioning reporting to Looker. Responsibilities include data architecture, ETL/ELT, API and marketing integrations, data quality, production troubleshooting, warehousing, performance optimization, and platform modernization. The role partners with analytics and business teams, owns projects through production, documents solutions, and provides technical guidance.
Top Skills:
AWSAzureBigQueryConfluenceDraw.IoGCPGitJIRAKafkaLookerLucidchartMiroModeNotionPower BIPythonSnowflakeSparkSQLTableauTalend
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute



