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Mid LevelFull-timePythonRustAWSGCPTerraformAgileGo
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Engineer to join our Hardware team at Base, America's next-generation power company. You will design, build, and operate the core data infrastructure that turns raw hardware signals into actionable engineering insights.
Key Responsibilities
- βDesign and manage the ingestion of disparate hardware datasets, including CAN telemetry, thermal chamber logs, power supply/grid sim/power analyzer readings, video feeds, and third-party systems
- βBuild foundational data structures, schemas, and canonical datasets for time-series hardware data
- βDesign, build, and maintain reliable batch and streaming data pipelines with a focus on correctness, performance, and scalability
- βDevelop and maintain platforms that allow cross-functional teams to easily query, overlay, and visualize multi-modal hardware data
- βEnsure "source of truth" datasets are consistent across lab environments and field deployments
Requirements
- β5+ years of experience in data engineering, backend engineering with a strong data focus, or a hardware/systems role
- βStrong background in building data infrastructure with databases, data warehouses, or data lakes
- βStrong coding skills in Python, Go, SQL, and/or R
- βFamiliarity with hardware telemetry, time-series data, and sensor data
- βDeep care about data quality, schema design, and building datasets that others can trust
- βFamiliarity with cloud infrastructure and infrastructure-as-code
- βSummary Bullets
- βDesign and manage ingestion of diverse hardware datasets
- βBuild foundational data structures and schemas for time-series data
- βDevelop and maintain reliable batch and streaming data pipelines
- βCreate platforms for querying and visualizing multi-modal hardware data
- βEnsure data consistency across lab and field environments
- βContribute to data architecture evolution as company scales
- βPartner with cross-functional teams to deliver practical data solutions
- βRequirement Bullets
- β5+ years experience in data engineering or related field
- βStrong background in building data infrastructure
- βProficiency in Python, Go, SQL, and/or R
- βFamiliarity with hardware telemetry and time-series data
- βExperience with data quality, schema design, and tools like dbt
- βKnowledge of cloud infrastructure and infrastructure-as-code
- βAbility to work in fast-moving environments with evolving requirements
- βBenefit Bullets
- β[]
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