Data Engineering & BI/Analytics

Moves and transforms data across the County's legacy-to-modern data landscape: legacy mainframe/file-based data conversion into target systems, enterprise BI and reporting (Power BI, Databricks, SSRS/SSIS), and Oracle-based data warehousing and financial-systems integration. Reflects a County mid-migration — still operating legacy pipelines while building a modern BI layer. Expect continued growth in Databricks/modern-stack reqs.

• Profile, cleanse, transform, validate, and load data from legacy systems into target solutions
  

• Support data mapping and crosswalk analysis across organizations and vendors
  

• Design and develop Power BI dashboards, paginated reports, and row/object-level security
  

• Build and support Azure Data Factory / Databricks data pipelines and data warehouse solutions
  

• Develop and tune Oracle PL/SQL and SQL Server queries, stored procedures, and jobs
  

• Design data models using DAX/MDX across Power BI, SSAS, Databricks, or Azure Synapse
  

• Support data loading and integrations using REST APIs and EPM Automate (for Oracle PBCS/EPM variants)
  

• Document extraction logic, validation rules, and data-retention/compliance requirements
  

• Facilitate knowledge transfer so business users can work independently with converted data
  

• Power BI (Dashboards, Paginated Reports, Gateway, RLS/OLS); Azure Databricks; Azure Data Factory
  

• SQL Server / Oracle: T-SQL, PL/SQL, SSIS, SSRS
  

• DAX/MDX data modeling (SSAS, Databricks, Azure Synapse)
  

• Legacy/mainframe data formats, flat files, data dictionaries, ETL and reconciliation
  

• Oracle Planning & Budgeting Cloud Service (PBCS) / EPM Automate / Oracle Integration Cloud (for financial-systems variants)
  

• Azure DevOps, Git/GitHub, Python, JSON
  

• 5+ years experience in Power BI and Azure environments (BI-focused roles), or 3+ years supporting field mapping/crosswalk/data validation during conversion (Data Engineer roles)
  

• 3+ years designing Power BI Paginated Reports or Data Warehouse work with Databricks/SQL Server/Oracle
  

• 2+ years designing data models using DAX/MDX
  

• 3+ years working with legacy/relational data technologies (mainframe, DB2, FOCUS, Oracle, SQL Server)
  

• For Oracle PBCS variants: 7+ years implementing/supporting Oracle Planning & Budget Cloud Services, 3+ in a lead capacity
  

• Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or closely related field
  

• Additional qualifying experience may substitute for education on a year-for-year basis