Analytics Software Engineer (TS/SCI)

Job Locations US-VA-Tysons
Posted Date 3 months ago(5/11/2020 11:51 AM)
Job ID
# of Openings


The Analytics Software Engineer will work within LMI’s Advanced Analytics service line to design, develop, and maintain infrastructure to support analytics operating environments. This position will work closely with advanced analytics professionals, as well as IT infrastructure, network, and security engineers, and software developers to deliver as-a-service capabilities to data science end users. You'll be a part of a group of talented software and DevOps engineers. Our engineers have experience in systems automation, full-stack software engineering, and data analysis. This team's primary mission is customer success. Its members work with our partner’s software, other cutting edge technologies, and end customers to ensure they derive value from their data.


As an Analytics Software Engineer, you will work directly with customers to ensure they manage their data through governance tools. This entails building software integrations with customer applications and databases, assisting customers with data analysis, and rapidly developing product add-ons to meet customer needs. Additionally, you will solve complex customer problems when integrating our products into unique customer infrastructures and assisting with customer best practices.


You will also work on-site with our customers and will be responsible for the integration, implementation, and improvement of product deployment and monitoring processes. You'll work closely with our other teams to coordinate the use of DevOps methodologies and develop tools in support of those teams.


We are looking for engineers who

  • have a passion for problem solving (especially data problem solving),
  • are attentive to detail in implementation of solutions to complex problems, and
  • are excellent communicators who can work with customers to resolve issues.


  • Current TS/SCI is required.
  • Degree (Master’s preferred) in science, technology, engineering, mathematics, computer science, economics, or other related business or technical discipline is required
  • Minimum 3 years’ experience in infrastructure engineering
  • Programming experience using Node.js, Java, Javascript, C/C++, Python, REST, SQL, JSON, and XML
  • Experience developing infrastructure architectures for delivering scalable analytics capabilities
  • Experience designing and implementing secure distributed systems
  • Experience developing systems that interact with external web services and other application programming interfaces (APIs), including Open Database Connectivity (ODBC)
  • Experience with databases, including relational and NoSQL
  • Experience with Big Data Frameworks, including HDFS and Spark
  • Experience with containerization leveraging Docker, Kubernetes, Mesos, etc.
  • Automated systems management expertise, including Puppet, Chef, and Salt
  • Familiar with continuous integration, continuous development (CI/CD) solutions, including GitLab CI and Jenkins
  • Software packaging proficiency, including RPM, Debian, Python package managers, and Docker
  • Network stack and firewall knowledge
  • Experience integrating with various infrastructure technologies, including AWS, Microsoft Azure, Google Cloud Storage (GCS), bare-metal environments, VMWare

TS/SCI clearance is required for this position. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. LMI will only consider applicants with current security clearances. Please note that only U.S. citizens are eligible for a security clearance.




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LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, age, national origin, disability, veteran status, or any other factors protected by applicable law.

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