HR Data Engineer

PDS Defense, Inc.

Herndon (VA)

Hybrid

USD 95,000 - 125,000

Full time

8 days ago

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Benefits offered by this job

Direct deposit

401(k)

Career counseling services

Paid holidays

Short-term disability insurance

Skills training

Employee referral bonus

Affordable medical coverage

Job summary

PDS Defense, Inc. is seeking an HR Data Engineer in Herndon, VA. The role focuses on building and optimizing HR data pipelines, transforming raw data into useful HR analytics, and delivering robust data architectures to support AI agents.

You will design and maintain ETL pipelines, integrate with core business systems, and ensure data quality through testing and governance. A strong background in SQL, Python and data engineering is essential.

Qualifications

Bachelor's degree in Business Information Technology, MIS, CS, IT, Economics, Math, Data Science/Analytics, Eng or equivalent.
2 years of SQL and Python experience.
Experience building ETL pipelines using code or ETL platforms.
Experience designing scalable data architectures for AI agent data needs.
Certification in Data Engineering (e.g., Google Cloud Professional Data Engineer) preferred.

Responsibilities

Design and build data sets, big data pipelines, and architectures.
Develop, deploy, and monitor agentic workflows that automate HR data tasks.
Create scalable data architectures for AI training, deployment, and operation.
Automate processes to reduce manual data entry and improve data delivery.
Ingest data from multiple sources and maintain data pipelines.

Skills

SQL

Python

ETL pipelines

Data architectures

API design

Education

Bachelor's degree in IT/CS/Analytics

Tools

APIs

ETL platforms

Data pipelines tooling

Job description

Engineering

HR Data Engineer Herndon, VA Posted: 6/5/2026

Job Description

Job ID#:218400

Job Category: Engineering

Position Type: Associate - W2

Shift: 1

PDS Defense, Inc. is seeking an HR Data Engineer, in Herndon, VA. Job ID#218400

Job Description:

As an HR Data Engineer, you must possess the ability to build and optimize data sets, ‘big data' data pipelines and architectures. As an ideal candidate, you have a background in building data pipelines, transforming raw HR data into useful data systems, workload management, data structures, dependency and metadata, and optimizing data delivery architecture. We are looking for a versatile individual with a keen attention to detail and a problem-solving attitude to join us in our journey to transform the future of HR

Your Challenges:

Primary Responsibilities

Design and Development

Experience interacting with data via APIs, including designing and implementing new API endpoints.
Develop and maintain robust ETL pipelines.
Develop, deploy, and monitor agentic workflows that automate complex, multi-step HR data tasks and integrate with core business systems.
Design and implement scalable data architectures to support the training, deployment, and operational data needs of AI agents.
Automate processes to reduce manual data entry.
Build, refactor and maintain data pipelines that ingest data from multiple sources.

Data Analysis

Ability to work with semi-structured and unstructured data.
Assembling large, complex sets of data that meet non-functional and functional business requirements.
Identify and implement improvements to our data ecosystem based on industry best practices.
Performs business data analysis, identifying key facts and recommendations in accordance with business standards.

Data Quality & Governance

Follow best practices via pair programming, constructive code reviews, and thorough testing.
Identify key HR Data Transformation challenges and build/maintain a robust end-to-end and highly performant data pipelines platform, using cutting-edge technologies.
Other duties as assigned.

Your Boarding Pass:

Bachelor's degree in Business Information Technology, Management Information Systems, Computer Science, Information Technology, Economics, Mathematics, Data Science/Analytics, Applied Sciences, Engineering, or other quant-focused field or equivalent combination of industry related professional experience and education.
2 years of experience in SQL and Python.
Experience building ETL Pipelines using code or ETL platforms.
Experience designing and implementing scalable data architectures to support the training, deployment, and operational data needs of AI agents.
Certification in Data Engineering such as Google Cloud Certified Professional Data Engineer certification, preferred

Physical Requirements

Onsite 60%
Remote 40%
Vision: Daily able to see and read computer screen and other electronic equipment with screens, able to read documents, reports and engineering drawings.
Hearing: Daily able to hear to participate in conversations in person and via teleconference or phone and to hear sounds on production floor including safety warnings or alarms.
Speaking: Daily able to speak in conversations and meetings, deliver information and participate in communications.
Equipment Operation (personal computer, telephone, copies, fax machine, and related office equipment and using electronic identification card to enter building floors and internal doors): Daily able to operate most office and personal electronic equipment and some tools including production tools such as hydraulic lifts.
Carrying: Several times a week able to carry documents, tools, drawings, electronic equipment up to 30lbs/14kgs.
Lifting: Several times a week able to lift documents, tools, drawings, electronic equipment up to 30lbs/14kgs.
Pushing / Pulling: Several times a week able to push and pull small office furniture and some equipment and tools.
Sitting: Daily able to sit for long periods of time in meetings, working on computer.
Squatting / Kneeling: Several times a month able to squat or kneel to retrieve or replace items stored on low shelving.
Standing: Daily able to stand for discussions in offices or on production floor.
Travel: Rarely able to travel independently and at short notice.
Walking (include routine walking such as to a shared printer to retrieve documents): Daily able to walk through office and production areas including uneven surfaces.
Appropriate hearing/eye protection may also be required when visiting the shop floor.

Benefits offered to vary by the contract. Depending on your temporary assignment,

direct deposit
free career counseling services
401(k)
select paid holidays
short-term disability insurance
skills training
employee referral bonus
affordable medical coverage plan
DailyPay (in some locations)

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit http://www.tadpgs.com/candidate-privacy/ or https://pdsdefense.com/candidate-privacy/

Job Requirements

Minimum Security Clearance: