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Radiant · 2 weeks ago

Staff Data Platform Engineer, Enterprise Data

El Segundo, California, United States

Full-time

Onsite

Senior Level, Lead/Staff

5+ years exp

Radiant is an El Segundo-based startup building portable nuclear microreactors. The Staff Data Platform Engineer will be responsible for building integrations and pipelines to connect various operational systems into a unified data platform, focusing on improving the efficiency of the Finance team by developing the ION-Ramp integration and ensuring data quality across the platform.

Clean EnergyEnergyEnergy EfficiencyRenewable Energy

No H1B

U.S. Citizen Only

Responsibilities

Build integrations: Configure Fivetran connectors, build custom pipelines, and connect 9 enterprise systems (ION, Ramp, QuickBooks, Rippling, Ashby, Salesforce, SharePoint, Smartsheet, DocuSign)

Develop the ION-Ramp pipeline: Build the Snowflake → Databricks → Ramp pipeline that enables three-way matching for Finance

Write dbt models: Transform raw data into clean, documented, tested models for dashboards and analytics

Ensure data quality: Implement testing, monitoring, and alerting for data pipelines; catch issues before they reach dashboards

Support dashboards: Work with the PM and stakeholders to ensure the data models support Finance, Operations, and HR/Recruiting dashboards

Document everything: Maintain clear documentation for pipelines, models, and data definitions

Qualification

PythonSQLData WarehousesETL/ELT DevelopmentAPI IntegrationData ModelingData Quality FrameworksLightweight Internal ToolsMES/ERPDocumentation

Required

5+ years of data engineering or software engineering experience

Python and SQL proficiency—you'll write both daily

Experience with data warehouses—Databricks, Snowflake, BigQuery, or Redshift

ETL/ELT pipeline development—Fivetran, Airbyte, Stitch, or custom pipeline experience

API integration experience—REST, GraphQL; you're comfortable reading API docs and building integrations with enterprise SaaS tools

Data modeling skills—dimensional modeling, schema design, understanding of how data will be used downstream

Preferred

Background in hardware or hardtech companies—you understand manufacturing, supply chain, and physical product development

Experience with dbt (data build tool)

Experience with data quality frameworks and testing (Great Expectations, dbt tests, etc.)

Comfortable building lightweight internal tools—Python/Flask, basic frontend—or using AI coding assistants (Cursor, Copilot) to extend your capabilities

Familiarity with MES, ERP, or supply chain systems (ION, SAP, NetSuite, etc.)