Weekend Data Engineer Contract Jobs in Virginia (NOW HIRING)

Airbus Commercial is looking for a HR Data Engineer (Contract)to join our team in Herndon, Virginia.

As an HR Data Engineer at Airbus, 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 at Airbus.

Meet the Team:

Working in our Human Resources department, it's our mission to help support Airbus' greatest assets: our team members. Our team works cross-departmentally as well as with our global counterparts to ensure we are making a positive impact on all aspects of our employee experience.

Your Working Environment:

The Washington, D.C. metro area is home to multiple Airbus offices: In our nation's capital you will find the Airbus Experience Center, a collection of interactive, multimedia exhibitions highlighting the extensive role the company plays in the aviation, aerospace and defense industries in the U.S. and around the world. The D.C. area is also home to our regional corporate headquarters - located adjacent to Washington Dulles International Airport (IAD) - it makes flying in a breeze!

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 Airbus 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.