Staff Data Platform Engineer, Enterprise Data

About the Role

We're building a new team to own Radiant's internal data infrastructure, executive analytics, and AI capabilities. As a Staff Data Platform Engineer, you'll be hands-on building the integrations and pipelines that connect Radiant's operational systems-Finance, HR, Supply Chain, Manufacturing, and Recruiting-into a unified data platform.

Your first priority will be the ION-Ramp integration: building the pipeline that enables three-way matching (PO + Receipt + Invoice) between our manufacturing execution system and payments platform. This directly reduces manual work for the Finance team. From there, you'll expand to connect 9 enterprise systems, build dbt transformation models, and ensure data quality across the platform.

What You'll Do

• 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

What We're Looking For

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.)

Why Join Radiant

• Mission: Clean energy that can go anywhere-few problems matter more
• Team: Work alongside exceptional people from SpaceX, Blue Origin, and other top engineering organizations
• Compensation: Competitive compensation with equity
• Benefits: Health/dental/vision, 401(k), and flexible PTO
• Impact: The pipelines you build directly reduce manual work for Finance and give leadership real-time visibility
• Variety: You'll work across 9 different systems-Finance, HR, Manufacturing, CRM, Documents-never boring
• Modern stack: Databricks, Fivetran, dbt, Airbyte-best-in-class tools

Additional Information

This position requires the ability to work in the United States and eligibility for access to export-controlled information under ITAR/EAR.