Senior Data Engineer (HCM Domain)

Qualitest seeking a Senior Data Engineer (HCM Domain) to design, develop, and maintain scalable data solutions that power analytics, reporting, and integrations across Human Resources and Human Capital Management (HCM) systems. In this role, you will ensure data integrity, governance, and accessibility for critical workforce, payroll, and talent insights.

You will serve as a technical lead for HCM-related data engineering initiatives, leveraging deep expertise in HR systems and data architecture to deliver reliable, compliant, and scalable enterprise data solutions within platforms such as Oracle Fusion HCM. This role offers the opportunity to work independently while collaborating cross-functionally with HR, Payroll, and IT teams to shape data strategy and enable advanced analytics.

Location : Remote (U.S. - CST Preferred)

Employment Type : Full-time, Permanent

Key Responsibilities

• Design and implement end-to-end data pipelines and ETL / ELT workflows for HR and HCM data ingestion, transformation, and reporting.
• Integrate data from multiple HCM / HR systems (e.g., Oracle Fusion HCM, Workday, SuccessFactors, ADP, Payroll, Time & Attendance).
• Collaborate with HR, Payroll, and IT stakeholders to translate business and compliance requirements into scalable data solutions.
• Develop and maintain data models, schemas, and analytical structures optimized for workforce analytics and dashboards.
• Partner with analytics teams to deliver curated, high-quality datasets for reporting and insights.
• Implement robust data validation, auditing, and reconciliation processes to ensure accuracy and quality.
• Build reusable, secure, and automated data assets to support HR analytics, workforce planning, and compliance reporting.
• Design and manage integrations with enterprise systems (ERP, Finance, HCM) using APIs (REST / SOAP) and data connectors.
• Optimize cloud-based data processing (OCI, AWS, Azure) for performance and cost efficiency.
• Implement and enforce data security, privacy, and governance aligned with HIPAA, GDPR, and related standards.
• Champion automation, CI / CD, and data engineering best practices.
• Mentor junior engineers and contribute to cross-functional data initiatives.

Required Qualifications :

Prefer to Haves :

Benefits

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