Data Engineering & BI/Analytics

s Advancio, Inc.; Downey (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Advancio, Inc. is seeking a data engineering professional to move and transform data across a legacy-to-modern landscape, building pipelines in Azure Data Factory and Databricks while supporting Oracle and SQL Server environments.

You will profile, cleanse, transform, validate, and load data from legacy sources into target solutions. You will design Power BI dashboards and paginated reports, implement data mapping and crosswalk analysis, and ensure governance and compliance through

Qualifications

• Bachelor's degree required in CS, IS, Data Science, or related field.
• 5+ years in Power BI and Azure environments or 3+ years in data mapping and validation during conversion.
• Experience with legacy/mainframe data formats, ETL and data reconciliation.

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
• Support data loading and integrations using REST APIs and EPM Automate
• Document extraction logic, validation rules, and data-retention/compliance requirements
• Facilitate knowledge transfer so business users can work independently with converted data

Skills

Data profiling

Data cleansing

Data transformation

Data validation

Crosswalk analysis

Education

Bachelor's degree in CS/IS/Data Science

Tools

SQL Server

Oracle

SSIS

SSRS

Power BI

Azure Data Factory

Databricks

Oracle EPM Automate

Oracle Integration Cloud

Job description

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.

Core 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
• 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

Requirements

Skills Required

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

Experience Required

• 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
• 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

Education / Training

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