Life Cycle Engineering · 5 hours ago
Data Engineer
Quantico, VA
Full-time
Onsite
Senior Level, Lead/Staff
10+ years expLife Cycle Engineering is a privately held, employee-owned company focused on enabling people and organizations to achieve their full potential. As a Data Engineer, you will be responsible for transforming data into a format that can be easily analyzed, collaborating closely with data scientists and architects to provide solutions for data-driven decision-making.
Information TechnologyRoboticsSoftwareVirtual Reality
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Design, build, operationalize, secure, and monitor data processing systems with particular emphasis on security and compliance; capability and efficiency; reliability and fidelity; and flexibility and portability/mobility
Facilitate data collection and cleaning with some basic analytical skills. Primary drafter and editor of organizational data-related policy
Ability to leverage, deploy, and continuously train pre-existing machine learning models
Ability to design data processing systems, build and operationalize data processing systems, operate machine learning models and ensure solution quality
Managing data pipelines and driving automation through effective metadata management
Qualification
Required
Must have an active DoD Top Secret Clearance
Bachelor's or Master's degree in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field [or equivalent work experience] is required
A minimum of ten (10) years of experience in IT, with at least six (6) years or more of work experience in data management disciplines including [data integration, modeling, optimization and data quality], and/or other areas directly relevant to data engineering responsibilities and tasks
Strong experience with advanced analytics tools for Object-oriented/object function scripting using languages such as R, Python, Java, and C++
Strong ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management
The ability to work with both IT and business in integrating analytics and data science output into business processes and workflows
Strong experience with popular database programming languages including SQL and PL/SQL for relational databases and certifications on upcoming NoSQL/Hadoop oriented databases like MongoDB
Preferred
An advanced degree in computer science (MS), statistics, applied mathematics (Ph.D.), information science (MIS), data management, information systems, information science (post-graduation diploma or related) or a related quantitative field [or equivalent work experience] is preferred
Benefits
Affordable Medical/Dental/Vision Plans for employees and their families
Free Employee Life and Disability Insurance, with supplemental coverage options available
Health Savings Account and Flexible Savings Account options
Company matched 401(k) & company-funded Employee Stock Ownership Program (ESOP)
Paid Vacation, Holiday, Sick Leave
Continuing Education and Professional Development programs at all levels
Flexible Schedules and Relaxed Dress Code
Employer-sponsored events, social collaboration, and open communication
Free access to an extensive online training library, including certification prep
Bonus Program for outstanding contributions, Employee Referral Program, numerous Recognition Opportunities, and more…
Company
Life Cycle Engineering
Life Cycle Engineering uses engineering logic to solve business problems for industry, public entities and the military.
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Bob Fei
President and CEO
Recent News
FoodProcessing.com
2025-08-13
Company data provided by crunchbase