Data Engineer

2 weeks ago

Helena, United States State of Montana Full time
Data Engineer-(24142602)

The Montana Department of Public Health and Human Services (DPHHS) has a career opportunity within the Technology Services Division.

The Data Engineer serves as a member of the Department of Public Health and Human Services (DPHHS) Data Management Office (DMO), reporting directly to the Chief Data Officer (CDO), and plays an essential role in defining the vision, strategy, and principles for data governance, dissemination, and management across the department. The Data Engineer describes, models, and manages data to enrich, transform, and deliver information to support statistical analysis, research, and performance management.

The Data Engineer works closely with the Office of Research and Performance Analysis (ORPA) to identify data requirements, confirm data quality and accessibility, and troubleshoot data-related technical issues. The Data Engineer streamlines data workflows, enhances data infrastructures for greater scalability and collaboration, and identifies opportunities to optimize delivery by developing, maintaining, and testing infrastructure for data generation.

Why Join DPHHS

Our mission at DPHHS is to serve Montanans in their communities to improve and protect the health, safety, and well-being, and to empower independence. By joining our department, you will have the opportunity to perform meaningful work in public service to our state and its residents.

The State of Montana's comprehensive benefits package includes healthcare coverage, retirement plans, paid vacation, sick leave, and holidays, work/life balance, and eligibility to participate in the Public Service Loan Forgiveness (PSLF) program. In addition, DPHHS is the largest state agency with a wide range of advancement opportunities whether you are joining the workforce or have several years of experience.

Qualifications for this Career Opportunity

A business-centric, data-oriented, and analytical mindset. Comprehensive knowledge of data science concepts and disciplines. Knowledge of enterprise information management processes and methodologies. Skills in database design, data security, and data lifecycle management (i.e., gathering, cleansing, publishing, archiving, back-up and recovery, and purging) for large enterprise systems. Familiarity with master data, metadata, reference data, data warehousing, database structure, business intelligence principles and processes, and technical architecture. Knowledge of database management systems, metadata management tools, cloud storage, and associated security considerations. Meet minimum qualifications: 3-5 years’ experience in data analytics, computer science,information technology, or related field. A bachelor’s degree in data sciences is desirable. Combinations of experience and education will be considered on a case-by-case basis. Experience in data warehousing and governance. Practical experience in enabling data usability, availability, and efficiency. Experience in data management, quality, metadata management, and modeling. Knowledge of database systems: MS SQL Server, Oracle, or another commercial RDBMS required, Snowflake, or other non-relational database desired. Knowledge of SQL. Experience with scripting languages, especially Python, and PowerShell.

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