Data Engineer

Position Summary

The Space Systems Command (SSC) Space Systems Integration Office (SSIO) Science & Engineering Technical Support team is looking for an energetic and innovative Data Engineer to assist in data mining information from multiple DoD repositories. Ideal candidates will have experience providing technical support and managing technical programs throughout the engineering life cycle of operational and/or new start technical demonstration space and ground systems. As a Data Engineer, the candidate will be adept at using large data sets to find opportunities for business optimization and using models to test the effectiveness of different courses of action. The Data Engineer candidate should have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using and creating algorithms and/or creating and running simulations. Candidates must have a proven ability to generate data-driven insights. Candidates must be comfortable working with a wide range of stakeholders and functional teams and have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. As a Data Engineer, you will have the opportunity to work with unstructured and structured data, develop databases, build data pipelines, and find innovative solutions to complex data problems. Candidates should be familiar with state-of-the-art data engineering techniques and have hands-on experience with data pipelines and should be comfortable manipulating, processing, and extracting value from large unstructured and structured datasets.

Key Responsibilities: 

• Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries.
• Research state-of-the-art data mining methods and innovative statistical models
• Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
• Process, cleanse, and verify the integrity of data used for analysis
• Develop code for predictive/prescriptive models with applied machine learning and other modeling techniques
• Clearly document and present methodology, assumptions, and findings to stakeholders

Required Skills and Experience: 

• Bachelor’s degree in Computer Science, Data Science, Data Analytics, Software Development, Information Technology, or related discipline
• 5+ Years of experience in data engineering
• Experience manipulating data with Python, SQL, R, VBA
• Experience building data visualizations and communicating results to stakeholders
• Experiences with databases, data repositories, and data management tools
• Languages: Python, SQL
• Expected to be able to adapt quickly to changing needs across several core areas, including data wrangling, data exploration, data analysis, and data visualization.
• Must have the knowledge and communication skills to articulate trade-offs between analytic techniques, recommend a course of action to clients, and provide effective updates on project outcome uncertainty to leadership.
• Developing data pipelines to support Analytics
• Tools: Microsoft’s Power BI
• US Citizenship and an active DoD TS/SCI to be considered for this position

Preferred Skills and Experience:

• Languages: JavaScript, Java, C++, C#, HTML
• Analysis tool(s): MATLAB/Simulink
• MBSE tools: Sparx Enterprise Architect, Cameo
• Agile tools: Jira, Confluence, Kanban
• Experience with MS&A and MS&A tools
• Experience with Configuration Management
• Experience with System Administration
• Background in web-design or dashboard design
• Predictive and Prescriptive analysis
• Experience working with and building REST APIs
• Experience with Graph Analysis tools such as Neo4J and Cypher
• Applying advanced analytics and machine learning techniques
• Experience working as a member of an agile software development team (e.g., Scrum, Kanban)
• Experience with MySQL, shell scripting, UNIX/LINUX, GIT, Docker
• Experience with container deployment
• Experience with continuous integration process and tools

Compensation for California: Starting salary ranges from $100,000 to $140,000 depending on relevant experience and qualifications

Why LinQuest?

LinQuest Corporation has a stellar 40-year track record of providing end-to-end system-of-systems (SoS) architecture definition, engineering design, integration and test, and operations expertise to enable full lifecycle development and deployment of pre-eminent Space, Air, Land, Sea, Ground, and Cyberspace game-changing capabilities across US DOD and IC Customers’ portfolios.   Unique combination of in-depth domain knowledge, lessons learned-honed best practices, and mission-specific applications of principles, tools, and techniques of Digital Engineering (DE), DE Ecosystem (DEE), and Model-Based Systems Engineering (MBSE) set LinQuest apart from the competition to consistently deliver stellar high-value results for our customers.  LinQuest’s corporate vision and values place the employee at the center of utmost customer satisfaction, strategic business growth, and tactical execution excellence.  Our employees’ creative and inspirational drive, sense of fulfillment of personal and professional growth, and tightknit camaraderie within and across lines of business are essential in gaining and maintaining exceptional LinQuest corporate-wide results of new business awards and renewed contracts.

Benefits: LinQuest offers comprehensive and competitive benefit offerings to our team members to include medical, dental, vision, retirement, paid time off, company paid life insurance, and more!  For additional information please visit: https://www.linquest.com/careers/our-benefits