Machine Learning/Data Engineering Denver Databricks

The impact you will have:

• Function as a company-wide thought leader and subject-matter-expert on Databricks
• Provide technical leadership to guide enablement initiatives across the Databricks landscape
• Work with subject-matter-experts and learning architects to scope needs for enablement material
• Grow technically in areas such as lakehouse technology, big data streaming, and big data ingestion and workflows by working regularly in the Databricks DI Platform

What we look for:

• Passion/experience for sharing knowledge and expertise to enable others
• 5+ years experience in a technical role with expertise in at least one of the following:
• Experience maintaining and extending production data systems to evolve with complex needs
• Expertise in scaling big data workloads (such as ETL) that are performant and cost-effective and large-scale data ingestion pipelines and data migrations – including CDC and streaming ingestion pipelines
• Expert with cloud data lake technologies such as Delta
• Bachelor’s degree in Computer Science, Information Systems, Engineering, in a quantitative discipline, or equivalent experience through work experience
• Production programming experience in SQL and Python
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through ML
• (Preferred) Experience working with Apache Spark to process large-scale distributed datasets

Benefits:

• Comprehensive health coverage including medical, dental, and vision
• 401(k) Plan
• Equity awards
• Flexible time off
• Paid parental leave
• Family Planning
• Gym reimbursement
• Annual personal development fund
• Employee Assistance Program (EAP)