Oracle HCM Data Engineer (Remote)

An enterprise financial services organization is seeking an Oracle HCM Data Engineer to support HR data modernization and analytics initiatives in a remote environment. This role will focus on building and maintaining data solutions that improve reporting, data quality, and governance across the enterprise.

• Schedule: Monday through Friday
• Hours: 8am to 4:30pm (EST)
• Setting: Remote

• Develop and maintain complex SQL queries, database objects, and data transformations across SQL Server and Oracle environments
• Support HR data modernization efforts by translating legacy SQL Server logic into Oracle HCM-based solutions
• Build BI Publisher and BICC reports to source, validate, and analyze HR data
• Create and maintain technical documentation, including data definitions, business rules, mappings, lineage, and governance artifacts
• Partner with business and technical stakeholders to define requirements, troubleshoot issues, and ensure data quality across reporting and analytics platforms

• 7+ years of experience in data engineering, data integration, data warehousing, or a related field
• Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related discipline, or equivalent experience
• Advanced SQL development expertise, including complex joins, analytical/window functions, and performance optimization
• Hands-on experience with SQL Server and Oracle SQL
• Experience with Oracle HCM Cloud, including front-end functionality and backend data structures
• Experience using Oracle Analytics tools such as BI Publisher and BICC
• Strong analytical and problem-solving skills
• Excellent verbal and written communication skills
• Ability to work independently and manage multiple priorities in a dynamic environment

• Experience supporting HR data modernization or migration initiatives
• Experience working with legacy HR platforms such as PeopleSoft
• Knowledge of enterprise data warehousing concepts, including fact tables and historical data design
• Experience supporting data governance, data lineage, and data quality initiatives
• Experience working within Azure-based data and analytics environments