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Staff Data Platform Engineer - Enterprise Data

Radiant IndustriesEl Segundo HQ
On-site Full-time

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Experience Level

Mid to Senior

Qualifications

What We're Looking ForRequired5+ years of experience in data engineering or software engineering. Proficiency in Python and SQL—you will code in both daily. Experience with data warehouses—such as Databricks, Snowflake, BigQuery, or Redshift. Expertise in ETL/ELT pipeline development—experience with Fivetran, Airbyte, Stitch, or custom pipeline development. Familiarity with API integration—REST, GraphQL; capable of reading API documentation and building integrations with enterprise SaaS tools. Data modeling expertise—dimensional modeling, schema design, and understanding how data will be utilized downstream. PreferredExperience in hardware or hardtech companies; understanding of manufacturing, supply chain, and related processes is a plus.

About the job

About the Role

Join our dynamic team at Radiant Industries, where we are committed to revolutionizing our internal data infrastructure, executive analytics, and AI capabilities. As a Staff Data Platform Engineer, you will play a pivotal role in constructing the integrations and pipelines that seamlessly connect our operational systems—Finance, HR, Supply Chain, Manufacturing, and Recruiting—into a cohesive data platform.

Your first focus will be the ION-Ramp integration, where you'll build the essential pipeline that facilitates three-way matching (PO + Receipt + Invoice) between our manufacturing execution system and payments platform, significantly reducing manual workloads for our Finance team. From there, you'll extend your efforts to connect nine enterprise systems, create dbt transformation models, and uphold data quality across the platform.

What You'll Do

  • Build Integrations: Configure Fivetran connectors, develop custom pipelines, and link nine enterprise systems (ION, Ramp, QuickBooks, Rippling, Ashby, Salesforce, SharePoint, Smartsheet, DocuSign).
  • Develop the ION-Ramp Pipeline: Construct 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; proactively identify issues before they affect dashboards.
  • Support Dashboards: Collaborate with the PM and stakeholders to ensure data models effectively support Finance, Operations, and HR/Recruiting dashboards.
  • Document Everything: Maintain comprehensive documentation for pipelines, models, and data definitions.

About Radiant Industries

Radiant Industries is at the forefront of innovation, dedicated to enhancing our internal data systems and analytics capabilities. We pride ourselves on our collaborative work environment and commitment to leveraging technology to drive efficiency across various operational domains.

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