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Data Engineer

GRVTY

Today
Top Secret/SCI
Unspecified
Unspecified
IT - Database
Springfield, VA (On-Site/Office)

Job Description

Why Choose Royce Geo, a GRVTY Company

We're not your typical government contracting company, nor do we want to be. At Royce Geo, a GRVTY Company we live for building durable and long-lasting relationships with our clients, providing exceptional service with a CAN'T QUIT / WON'T QUIT attitude. We are creating a culture of winning, optimism, FUN and caring for the person next to you. If you want to work in a real team environment and share the wealth and satisfaction of providing real value to your customer, then this company may be just for you.

Royce Geo, A GRVTY Company, prides ourselves in our values-first approach. Our values of Accountability, Attitude, Communication, Innovation, and Leadership are integrated into how we approach problems, guide our interactions with others, and create the framework for our culture. We recognize and reward our team members that champion these attributes.We offer a competitive benefit package that is designed to attract and retain exceptional talent. We take care of our team members from multiple facets including health, financial and well-being programs:
  • Robust health plan including medical, dental, and vision
  • Health Savings Account with company contribution
  • Annual Paid Time Off and Paid Holidays
  • Paid Parental Leave
  • 401k with generous company match
  • Training and Development Opportunities
  • Award Programs
  • Variety of Company Sponsored Events


Join a mission-focused team where your work truly matters. We are seeking a Senior Data Engineer to help build high-performance data solutions that support critical national defense operations. This role blends technical depth with systems-level thinking and requires close collaboration across cross-functional teams-including software engineers, data scientists, and program managers.

You'll be at the forefront of architecting and deploying resilient data pipelines, transforming massive datasets into actionable intelligence. This is a results-oriented position within a fast-paced ML-Ops environment-not about research, but delivering production-grade, scalable data infrastructure that performs in dynamic, real-world scenarios.

What You'll Do:
  • Design, build, and maintain data pipelines that are efficient, reliable, and scalable for both batch and real-time processing.
  • Architect and optimize data systems to support machine learning workflows and analytics platforms.
  • Collaborate with ML engineers and DevOps teams to ensure smooth model deployment and monitoring.
  • Implement data validation, quality checks, and versioning to ensure trust in data used across systems.
  • Work closely with security teams to maintain compliance with classified data handling procedures.
  • Contribute to the data architecture roadmap and lead design decisions on storage, compute, and ETL technologies.
  • Mentor junior data engineers and promote engineering best practices across teams.


Who Thrives Here:
  • Fast-paced thinkers who enjoy solving tough data challenges in high-stakes environments.
  • Systems-minded professionals with a passion for clean, scalable architecture.
  • Natural collaborators who work well with cross-disciplinary teams.
  • Comfortable engaging with stakeholders, program managers, and end-users to translate mission needs into data solutions.
  • Self-directed and resourceful, able to manage complex projects independently.
  • Life-long learners who stay sharp on evolving tools, trends, and techniques in data engineering.
  • Strong communicators with an ability to clearly explain technical tradeoffs and design decisions.


Required Qualifications:
  • Requires TS/SCI Clearance with the ability to obtain a CI Poly
  • Degree in Computer Science, Data Engineering, or a related field is preferred; however, candidates with a strong mix of education and hands-on experience are encouraged to apply.
  • 5+ years of experience in data engineering or backend systems development.
  • Expertise in Python and frameworks such as Pandas, SQLAlchemy, PySpark, and RESTful API design.
  • Proficient in writing and optimizing SQL queries and working with relational and non-relational databases (e.g., PostgreSQL, MongoDB, Redis).
  • Familiarity with CI/CD workflows and Git.
  • Experience creating, developing, testing, and sustaining databases.
  • Experience with data conversion, migration, and conditioning.
  • Experience building databases or data stores from imagery or digital sources


Highly Desired Qualifications:
  • Experience designing and deploying cloud-native data architectures (AWS, OpenStack, or similar).
  • Hands-on experience with ML-Ops and data versioning with tools such as MLflow and DVC
  • Use of Linux as a development environment.
  • Familiarity with Docker, Dockerfile, and Docker commands.
  • Previous work with Python code that accesses AWS resources.


Preferred Qualifications:
  • Previous work on government or defense-related data platforms.
  • Knowledge of security protocols and working within classified or secure networks.
  • Understanding of data governance, lineage, and access control in high-security environments.
  • Familiarity with DevSecOps practices and secure development lifecycle.


EEO Statement

Royce Geo, a GRVTY Company, 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 recruiting@grvty.com with requested details. A member of the HR team will respond to your request within 2 business days. Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

About Royce Geo



Established in 2015, Royce Geo has quickly evolved into a well-rounded, diverse, small business tackling some of the most complex issues for our Defense and Intelligence Community clients. We are an award-winning small business firm, providing vital support to our mission partners across four core areas: Geospatial Information Technology, Data Analytics, Intelligence, and Training.



Our team members are highly skilled subject matter experts, who listen and partner with our clients to accomplish the mission. We own the problem and find the solution while upholding the highest standards-to exceed expectations. We take risks and challenge the status quo to deliver innovative and cutting-edge solutions.



Our employee-centric company culture is everything. Even while we grow, our small company mentality continues to exist. We demand inspiration from our leadership, and accountability from all so that we can influence others through our actions. This is Royce Geo.
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Job Category
IT - Database
Clearance Level
Top Secret/SCI
Employer
GRVTY