×
Register Here to Apply for Jobs or Post Jobs. X

Data Engineer

Job in Durham, Durham County, North Carolina, 27703, USA
Listing for: Pitech Solutions, Inc.
Full Time position
Listed on 2026-09-04
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Database Administrator, Information Security & Data Protection
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below

Job Title:

Data Engineer – Oracle Fusion & Data Platform Integration

Location:

Durham, NC (Hybrid)
About the Role

We are seeking a Data Engineer to join our growing data team to help design, build, and extend our data platform. This will be a transformative modernization of its enterprise systems, including the implementation of Oracle ERP, HCM, and Utility Billing platforms, alongside Fusion Data Intelligence and Fusion Analytics Warehouse (FAW).

This role will be instrumental in enabling data extensibility, integrating third-party systems (e.g., Clariti on Salesforce, Esri GIS), and ensuring robust data governance and security practices across the data ecosystem.

This role will be instrumental in enabling data extensibility, integrating third-party systems (e.g., Clariti on Salesforce, Esri GIS), and ensuring robust data governance and security practices across the City’s data ecosystem.

Key Responsibilities
  • Design and implement ETL/ELT pipelines using Oracle Data Integrator (ODI), Oracle Integration Cloud (OIC), and Fusion Analytics extensibility frameworks.
  • Extend and customize Oracle Fusion Analytics data models to support city-specific reporting and analytics needs.
  • Integrate third-party data sources (e.g., Salesforce, Esri, legacy systems) into the Fusion Analytics Warehouse.
  • Collaborate with business analysts, application owners, and data stewards to define data requirements and ensure data quality.
  • Implement and enforce data governance policies, metadata management, and data lineage tracking.
  • Support the full software development lifecycle (SDLC) for data solutions, including requirements gathering, design, development, testing, deployment, and documentation.
  • Ensure data security and compliance with municipal, state, and federal regulations.
  • Monitor and optimize data pipelines for performance and reliability.
Qualifications

Required:
  • 5+ years of experience in data engineering, with a focus on Oracle technologies.
  • Strong experience with Oracle Fusion Applications (ERP, HCM, Utilities) and Fusion Analytics Warehouse (FAW).
  • Proficiency in Oracle Data Integrator (ODI), Oracle Integration Cloud (OIC), or similar ETL tools.
  • Solid understanding of data modeling, SQL, and performance tuning in Oracle environments.
  • Experience with data governance frameworks and tools (e.g., Collibra, Informatica, or Oracle Enterprise Metadata Management).
  • Familiarity with integrating cloud-based and on-premise systems, including Salesforce and Esri GIS.
  • Understanding of security best practices for data platforms, including role‑based access control and data masking.
  • Experience working in Agile or hybrid SDLC environments.
  • Draft Scope Document:
    Data Engineering Engagement for Oracle FDI/OUDI Platform
  • 1. Purpose of Engagement
    The city seeks specialized data engineering support to accelerate the development, integration, and operationalization of the enterprise data warehouse built on Oracle Fusion Data Intelligence (FDI) and Oracle Utility Data Intelligence (OUDI). The engineer will work under the direction of the City’s Enterprise Data Architect to implement ingestion pipelines, expand semantic layer integration, and establish foundational operational practices for ongoing sustainability.
  • 2. Scope of Work
  • 2.1 Data Ingestion & Integration Design and implement data pipelines connecting third‑party and internal systems to the FDI/OUDI environments.
    Prioritized source systems include:
    The City’s LDO (Licensing and Development/Planning) application
    The City’s ERP system (Munis)
    Additional departmental datasets identified during discovery
    Evaluate available APIs, flat‑file exports, database connectors, or event‑based streams to ensure efficient and secure data movement.
    Implement incremental and full-load ingestion patterns aligned with platform best practices.
    Ensure all pipelines adhere to data governance, lineage, and metadata standards within FDI/OUDI.
  • 2.2 Fusion Semantic Model Connectivity
    Enable and validate connectivity from custom and third‑party data into Oracle Fusion semantic models.
    Assist in extending or mapping data to Fusion subject areas where applicable.
    Implement necessary transformations to ensure data conforms to Fusion semantic…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary