Data Engineering & BI/Analytics

Advancio, Inc•Downey, CA

About The Position

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.

Requirements

  • 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

Responsibilities

  • 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
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