Qualifications

• Hands-on Databricks experience is essential.
• Strong background in Data Warehousing concepts required.
• Experience supporting enterprise reporting and analytics environments needed.
• Collaboration experience with Data Science or AI teams is crucial.
• Proficient in Python and SQL for data manipulation and analysis.
• Experience in building scalable data pipelines is important.
• Strong communication skills are necessary for engaging with technical teams.

Responsibilities

• Design, develop, and support Databricks solutions for data management and reporting.
• Build and optimize effective data pipelines and workflows within Databricks.
• Collaborate closely with Data Warehouse, Data Engineering, and AI teams.
• Support enterprise AI initiatives by leveraging modern data platforms.
• Assist in projects involving data integration, transformation, and analytics.
• Engage with technical stakeholders to devise scalable solutions.
• Participate in architecture discussions and recommend best practices for Databricks solutions.

Benefits

• Primarily remote work with a preference for Mountain Time candidates.
• Option for an initial 6-month contract with potential for extension or conversion to hire.
• Full-time preferred, with potential part-time arrangements considered.
• C2C engagement accepted for personal corporations.