HR Data Engineer
Role summary
This HR Data Engineer role focuses on designing scalable data architectures, building advanced data pipelines, and supporting AI-driven initiatives to create a seamless employee experience. The engineer will transform complex HR data into actionable insights and intelligent solutions, working with structured, semi-structured, and unstructured datasets. Key responsibilities include developing and maintaining ETL processes, designing data architectures for AI agents, creating and managing API integrations, and ensuring data integrity, reliability, security, and governance. The role requires strong analytical skills and collaboration with HR, IT, and business stakeholders.
Job Description
HR Data Engineer
Location:
Herndon, VA (Hybrid: ~60% onsite, 40% remote)
Pay Range:
$43.00 - $48.00/hour
Schedule:
1st shift
Company:
PDS Tech Commercial (partnering with a global aerospace leader)
Job Summary
Design scalable data architectures, build advanced data pipelines, support AI-driven initiatives, and create a seamless employee experience powered by data. Transform complex HR data into actionable insights and intelligent solutions.
Key Responsibilities
- Design, build, and optimize robust HR data pipelines
- Develop and maintain scalable ETL processes
- Design and implement data architectures for AI agent training and deployment
- Develop, deploy, and monitor intelligent automation and agentic workflows
- Create and maintain API integrations and design new API endpoints
- Automate manual processes for efficiency and scalability
- Work with structured, semi-structured, and unstructured datasets
- Assemble large and complex datasets for business initiatives
- Analyze HR data trends and provide business-focused insights
- Ensure data integrity, reliability, security, and governance
- Participate in pair programming, code reviews, and testing
- Collaborate with cross-functional teams (HR, IT, Analytics, business stakeholders)
Required Qualifications
- Bachelor's Degree in Information Technology, Computer Science, Data Science, Engineering, Mathematics, Economics, Management Information Systems, Business Information Technology, Applied Sciences, or related quantitative field
- Minimum 2 years of experience with SQL and Python
- Experience designing, developing, and maintaining ETL pipelines
- Experience building scalable data architectures and data engineering solutions
- Knowledge of API development, integration, and data exchange processes
- Strong analytical thinking and problem-solving skills
- Ability to work independently and collaborate across teams
- Excellent attention to detail and commitment to data quality
Preferred Qualifications
- Experience supporting AI-driven platforms, machine learning data pipelines, or intelligent automation initiatives
- Experience designing architectures for AI agents and advanced analytics solutions
- Certification such as Google Cloud Certified Professional Data Engineer or similar
- Experience with cloud-based data platforms and modern data ecosystems
- Familiarity with HR, workforce, or people analytics data environments
- Knowledge of data governance, metadata management, and data quality frameworks
Work Environment
- Hybrid schedule: ~60% onsite, 40% remote
- Occasional lifting up to 30 lbs
- Minimal travel
- Collaboration across office and production environments
Additional Information
This position requires use of information or access to facilities subject to ITAR and/or EAR regulations. Access limited to U.S. Persons (U.S. Citizens, lawful permanent residents, refugees, asylees) or certain foreign nationals with export license.
Pay: $43.00 - $48.00 per hour
Benefits: medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits, 401K plan, paid leave (including Paid Sick Leave and holiday pay as applicable).
Equal Opportunity Employer/Veterans/Disabled. Military connected talent encouraged to apply.
