Design, build, and maintain ETL pipelines and workflows within Databricks
Integrate forecast inputs from multiple internal data providers and teams
Ensure reliable, secure, and scalable data flows across development, test, and production environments
Support ingestion of non-standard and legacy data sources, including cleanup and standardization
Manage code deployment using Git and DBX asset bundles
Collaborate with platform engineering teams on data governance, security, and compliance
Automate infrastructure provisioning, deployment, and monitoring across cloud and hybrid environments
Troubleshoot platform and data pipeline issues across dev/test/QA/prod
Act as a technical liaison between IT, analysts, data scientists, and business stakeholders

Requirements

Strong, hands-on experience with Databricks (core requirement)
Experience building and supporting ETL pipelines and workflows
Proficiency in Python and SQL
Experience integrating data from multiple teams or business domains
Solid understanding of enterprise security, scalability, and performance considerations
Clear and effective communication skills, including working with non-technical stakeholders

Benefits

Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching
Paid Time Off
Hybrid Work Model – Typically onsite once per week in Colorado
Professional Growth – Work alongside experienced engineers, analysts, and data scientists on a strategic platform

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

ETL pipelinesDatabricksPythonSQLdata integrationdata cleanupdata standardizationinfrastructure automationcode deploymenttroubleshooting

Soft Skills

communicationcollaborationtechnical liaison