Data Engineer Security Clearance

Position: Data Engineer with Security Clearance
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 Dev Ops 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, SQL Alchemy, PySpark, and RESTful API design.

* Proficient in writing and optimizing SQL queries and working with relational and non-relational databases (e.g., Postgre

SQL, Mongo

DB, Redis).

* Familiarity with CI/CD…