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Job Description:

The Data Engineer III is a subject matter expert within the Software Development team and will support the Data Management team by implementing new and maintaining existing data flows and dimensional models with a focus on consistent and accurate enterprise data solutions on premise and in the cloud.

Position will bridge the gap between on premise, SQL-based Data Warehousing solution and future state Azure/Databricks Lakehouse architecture; learning and supporting the existing proprietary system while working with technical leaders to further develop plans to migrate to a cloud-based solution.

Essential Functions:

• Takes part in regular Scrum activities (daily standup meetings, weekly planning poker, post-sprint retrospectives, etc.)
• Develops foundational patterns to be utilized by other members of the business intelligence team
• Addresses issues in data flow logic and data model design, as well as the interoperability of new datasets with existing data models
• Participates in and conducts code-reviews for all changes to the codebase and conveys coding standards clearly and concisely
• Tests work on each assignment before working with Product Owners to ensure business requirements are fulfilled
• Performance tunes ETL/ELT processes, queries, notebooks, and other data flows
• Coordinates identification of requirements and recommending new data features in conjunction with development manager, product owners, and department managers
• Acts as a subject matter expert by sharing information and providing support and training to others, as well as spearheading team projects and establishing goals and milestones for projects
• Ensures goals and commitments to the team are met
• Adheres to the company’s Compliance Program and to federal and state laws and regulations
• Other duties as assigned

Knowledge, Skills and Abilities:

• Extensive experience with the Databricks platform under Microsoft Azure (ADF, ADLS, Databricks Delta Lake, Databricks Unity Catalog, SQL Serverless, Auto Loader, etc.)
• Advanced familiarity with on premise ETL frameworks, data modelling tools, relational database design, dimensional modelling, and SQL
• Intermediate familiarity with the C# language

• Ability to mentor others
• Excellent verbal and written communication skills
• Great customer service skills
• Great teamwork and leadership skills
• Independent problem-solving skills
• Self-motivated and self-managed
• Proficient in Microsoft Office Suite

Qualifications:

• Bachelor’s degree in computer science, information systems, or equivalent work experience
• 7+ years working with the following concepts and technologies:
  • Relational and Dimensional Data Models, T-SQL, Microsoft SQL Server, etc.
  • Data integration strategies and supporting technologies
  • Electronic data exchange (FHIR, HL7, CSV, EDI, etc.)
• 3+ years working with the Databricks Platform under Azure, designing, and implementing a lake house architecture
• Experience migrating on premise data warehousing solutions to Azure solutions (preferred)
• Experience with Visual Studio and .NET technologies such as C# (preferred)
• Experience working with common health care datasets (preferred)
• Experience working on an agile/scrum-driven software development team
• Home office that is HIPAA compliant for all remote or telecommuting positions as outlined by the company policies and procedures

Salary Range: