Data Engineer

Our team is charged with taking commercial and academic innovation high-side, in domains of Artificial Intelligence / Machine Learning (AI / ML) such as Computer Vision (Image and Video Processing), Natural Language Processing (NLP), and Audio Modeling. We also bring the best ideas, tools, and approaches in technology infrastructure (AWS, Dev Ops, etc.) to the IC. The tech stack used is extremely broad - anything cutting edge in the commercial market, the open source community, or the academic research community is likely involved: and if something isn't being looked at yet, you can make that happen.

This effort supports ALL missions of the Intelligence Community, including cyber-related data science missions. A seamless group of contractor and customer personnel work to create innovations that supply customer groups with the data sets, models, algorithms, software, and infrastructure they need to increase their mission success. Management is hands off, gives the team the freedom to explore new approaches, and markets the best ideas and results to all the other IC customers.

This project regularly needs various types of people - Data Scientists, Data / ETL Engineers, Analytic Software Engineers, Full Stack Developers, UI/UX Developers, and AWS/Dev Ops experts. We're particularly interested in people with any of the following experience:

• Developing AI / ML models (neural networks, tree based algorithms, etc.)
• Conducting data analysis in the fields of Computer Vision, NLP, or audio signal processing
• Doing data ingest and ETL into sponsor environments
• Building data-analytic software systems

Work on this program takes place throughout the Reston/Herndon/Chantilly, VA area (we cannot support remote work) and requires a TS/SCI + Poly clearance (acceptable to this customer).

GRVTY is seeking a Data Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA. This role requires working with a team of developers, data scientists, SMEs, and cyber analysts to design, develop, build, and analyze data management systems. The data engineer will work with and analyze our client’s challenges and provide solutions by designing and implementing batch and streaming data pipelines.

• Active TS/SCI with Polygraph Clearance
• Develop and perform ETL on large unstructured datasets
• Experience with services including Apache Kafka, Apache Spark, and Prefect
• Experience containerizing applications using Docker and deployments on Kubernetes
• Building and maintaining CI/CD pipelines for data and platform services
• Familiarity with Linux-based systems
• Solid understanding of Dev Ops principles (automation, monitoring, reliability)

The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We’re purpose-built to tackle the most entrenched, systemic national security issues around the world.

We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives.

At GRVTY, we believe that when our employees thrive, our company thrives. That’s why we offer a comprehensive and competitive benefits package designed to support your well‑being, growth, and work‑life balance.

• Robust health plan including medical, dental, and vision
• Health Savings Account with company contribution
• Annual Paid Time Off and Paid Holidays
• 401k with generous company match
• Training and Development Opportunities
• Variety of Company Sponsored Events

GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability.

Anyone requiring reasonable accommodations should email  or call  with requested details. A member of the HR team will respond to your request within 2 business days.