Lead, Data Engineering

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• Builds software to extract, transform and load data – SSIS, Azure Data Factory, Synapse
• Models data for efficient consumption by reporting and analytics tools – Azure Analysis Services, Power BI, SQL Databases
• Maintains previously deployed software and reports – Power BI, SSIS, AAS, SQL Server
• Designs dashboards and reports to meet business needs
• Presents technical problems with solutions in mind, in a constructive and understood fashion
• Demonstrates expert proficiency by sharing learnings with team and in technical showcases
• Independently discovers solutions and collaborates on insights and best practices
• Takes ownership of team’s work deliverables and actively participates in mentoring of team members
• Actively seeks out opportunities to help improve the team’s practices and processes to achieve fast flow
• Works with other developers to facilitate knowledge transfer and conduct code reviews
• Consistently works across the organization to enable teams to support each other
• Ensures that credit is shared and given when due
• Works to build and improve strong relationships across the organization
• Leverages those relationships to better plan for and position the engineering organization
• Leads strategic organizational decisions and plans
• Consistently works at a strategic level, influencing decisions to achieve organizational alignment on major goals
• Facilitates organization-wide discussions, ensuring that everyone has an opportunity to share their opinion and be heard, and that discussion outcomes tie to stated goals
• Encourages quiet participants and ensures no one person dominates the conversation

• 7+ years of Data Engineering experience
• Bachelor’s Degree in Information Systems, Computer Science, Business Operations, or equivalent work experience
• Advanced experience with Standard Query Language (SQL) and data modeling/architecture
• Advanced experience with Data Analysis Expressions (DAX)
• Advanced experience and understanding of data integration engines such as SQL Server Integration Services (SSIS) or Azure Data Factory or Synapse
• All offers are contingent upon the successful completion of a background check
• Maintains previously deployed software and reports – Power BI, SSIS

• Advanced experience with data engineering in a cloud development - Microsoft Azure is preferred
• Advanced experience with self-service query tools and dashboards - preferably Power BI
• Advanced understanding of star schema design and managing large data volumes
• Familiarity with data science and machine learning capabilities
• Ability to interact with people, inside and outside the team, in order to see a project to completion
• Experience protecting individual privacy such as required by HIPAA