Data Engineer

Why Choose Royce Geo, a GRVTY Company

Royce Geo, a GRVTY Company, started with a simple, American idea: we do things not because they are easy but because they are hard. Royce Geo, a GRVTY Company, exists to answer challenges. We do it for customers in defense, intelligence, homeland security—anyone whose job it is to advance America’s strategic position. The size of the challenge we face demands new skills, new backgrounds, and new thinking. That’s what we’re here to deliver. And when you work shoulder to shoulder with brilliant people tackling the most high-stakes challenges, it’s invigorating. Our culture is built on collaboration, mission-focused innovation, and a commitment to excellence, where every challenge we answer opens the door to a new possibility.

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 Royce Geo, a GRVTY Company, 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

• 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.