Build the Future of HR Intelligence as an HR Data Engineer. Transform Data into Innovation with a Global Aerospace Leader 

Location: Herndon, VA | Pay Range:  $43.00 - $48.00/hour| Schedule: 1st shift  

PDS Tech Commercial is partnering with a world-renowned aerospace industry leader to find a talented HR Data Engineer who is passionate about leveraging data, automation, and AI to redefine the future of Human Resources. 

This is an exciting opportunity to join a forward-thinking team focused on transforming complex HR data into actionable insights and intelligent solutions. As an HR Data Engineer, you'll design scalable data architectures, build advanced data pipelines, support AI-driven initiatives, and help create a seamless employee experience powered by data. 

If you're energized by solving complex challenges, building innovative systems, and driving digital transformation, this role offers the opportunity to make a lasting impact on a global organization. 

Your Impact 

As an HR Data Engineer, you'll be at the intersection of HR, technology, and analytics—creating the infrastructure that powers data-driven decisions and next-generation workforce solutions. 

You'll help shape the future of HR by developing scalable data ecosystems, supporting AI-enabled workflows, and ensuring that critical workforce data is accurate, accessible, and actionable. 

What You'll Do 

Data Engineering & Platform Development 

• Design, build, and optimize robust HR data pipelines that ingest and process information from multiple sources. 

• Develop and maintain scalable ETL processes that transform raw HR data into trusted business assets. 

• Design and implement data architectures that support AI agent training, deployment, and operational workflows. 

• Develop, deploy, and monitor intelligent automation and agentic workflows that streamline complex HR processes. 

• Create and maintain API integrations and design new API endpoints to support business needs. 

• Automate manual processes to improve efficiency, accuracy, and scalability. 

Data Analysis & Business Intelligence 

• Work with structured, semi-structured, and unstructured datasets across multiple HR platforms. 

• Assemble large and complex datasets that support critical business initiatives and reporting requirements. 

• Analyze HR data trends and identify opportunities to improve organizational performance and decision-making. 

• Provide business-focused insights and recommendations aligned with enterprise standards. 

• Continuously evaluate and enhance the HR data ecosystem using industry best practices and emerging technologies. 

Data Quality, Governance & Innovation 

• Ensure data integrity, reliability, security, and governance throughout the data lifecycle. 

• Participate in pair programming, code reviews, testing, and continuous improvement initiatives. 

• Identify opportunities to modernize HR data infrastructure through automation, AI, and advanced engineering practices. 

• Support the development of a highly scalable and high-performance HR data platform. 

• Collaborate with cross-functional teams including HR, IT, Analytics, and business stakeholders. 

What We're Looking For 

Required Qualifications 

• Bachelor's Degree in Information Technology, Computer Science, Data Science, Engineering, Mathematics, Economics, Management Information Systems, Business Information Technology, Applied Sciences, or a related quantitative field. 

• Minimum 2 years of experience working 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 while collaborating effectively 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 that support AI agents and advanced analytics solutions. 

• Certification such as Google Cloud Certified Professional Data Engineer or similar data engineering credential. 

• Experience working 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: Approximately 60% onsite and 40% remote. 

• Occasional lifting and carrying of equipment or materials up to 30 lbs. 

• Minimal travel requirements. 

• Opportunity to collaborate across office and production environments while supporting enterprise-wide initiatives. 

Ready to Engineer the Future? 

If you're passionate about data engineering, automation, AI, and transforming how organizations use workforce data, we want to hear from you. 

Apply today and join PDS Tech Commercial as an HR Data Engineer—where innovation, technology, and people come together to build the future of aerospace. 

This position requires use of information or access to facilities subject to the International Traffic in Arms Regulations (ITAR) and/or Export Administration Regulations (EAR). These regulations may limit access of controlled technologies: 1) to U.S. Persons, including U.S. Citizens, lawful permanent residents, and other narrow categories including refugees and asylees, or 2) to certain foreign nationals that have received an export license.              

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