Software Engineer

Posted 4 Hours Ago
Be an Early Applicant
Fort George G Meade, MD, USA
In-Office
145K-187K Annually
Mid level
Artificial Intelligence • Big Data • Database • Analytics • Consulting
The Role
The Software Engineer will develop and deploy backend services, data pipelines, and high performance computing applications while ensuring data compliance and automation through Infrastructure as Code.
Summary Generated by Built In

Software Engineer

General Information

Requisition #696

Locations USA-MD-Ft. Meade

Posting Date 05/14/2026

Security Clearance Required - TS/SCI with Polygraph

Remote Type N/A

Time Type Full time

Description & Requirements

Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Software Engineer.

Elder Research has multiple positions available for talented software engineers with experience in any of the following:

  • Development, deployment, and troubleshooting of containerized backend services, RESTful APIs, and web applications.
  • Data pipeline development in support of ML operations and Exploratory Data Analysis tasks.
  • High performance computing including Operations and Maintenance activities and data compliance.
  • Infrastructure as Code and Infrastructure as a Service including design, interface implementation, and automation.

Minimum Qualifications:

Education and Experience:

  • Masters + 3 years of relevant experience
  • Bachelors + 5 years of relevant experience
  • HS Grad + 7 years of relevant experience

Job Specifications/Requirements:

  • Experience with backend development using Python or Java
  • Experience with SQL
  • Experience with Kubernetes
  • Experience with HTML
  • Experience with Apache NiFi
  • Experience with GitLab or CI/CD principles, methodologies, and tools such as GitLab CI, Jenkins, etc.
  • Experience with container and container orchestration technologies (Docker, Kubernetes)
  • Experience with the Atlassian Suite of Tools such as Jira and Confluence

Preferred Qualifications:

  • Experience with testing frameworks or automation tools
  • Experience with IaC (Infrastructure as Code) principles and automation tools including Ansible
  • Experience with REST APIs
  • Experience with software frameworks for big data such as Splunk and Elastic Stack
  • Ability to complete a task quickly and properly, with very little supervision.
  • Experience working in a client facing position, with good communication skills.

Clearance Requirements:

  • Current TS/SCI w/ Polygraph
  • Must be a US Citizen

The projected compensation range for this position is $144,768 - $187,450. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, MANTECH invests in its employees beyond just compensation. MANTECH’s benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.

About Elder Research, Inc - People Centered. Data Driven

Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

If you need a reasonable accommodation to apply for a position with Elder Research, please email us at [email protected] and provide your name and contact information.

Skills Required

  • Masters + 3 years of relevant experience
  • Bachelors + 5 years of relevant experience
  • HS Grad + 7 years of relevant experience
  • Experience with backend development using Python or Java
  • Experience with SQL
  • Experience with Kubernetes
  • Experience with HTML
  • Experience with Apache NiFi
  • Experience with GitLab or CI/CD tools
  • Experience with container technologies (Docker, Kubernetes)
  • Experience with Atlassian Suite (Jira, Confluence)
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The Company
HQ: Charlottesville, VA
120 Employees
Year Founded: 1995

What We Do

Elder Research is a recognized leader in data science, machine learning, and artificial intelligence consulting. Founded in 1995 by Dr. John Elder, Elder Research has helped government agencies and Fortune Global 500® companies solve real-world problems in diverse industry segments. Our goal is to transform data, domain knowledge, and algorithmic innovations into world-class analytic solutions. When we combine the business domain expertise of our clients with our deep understanding of advanced analytics, we create a team that can extract actionable value from the data. Our areas of expertise include data science, text mining, data visualization, scientific software engineering, and technical teaching. Experience with diverse projects and algorithms, advanced validation techniques, and innovative model combination methods (ensembles) enables Elder Research to maximize project success for a continued return on analytics investment. In 2020 we acquired the Institute for Statistics Education at Statistics.com to provide focused data science, analytics, and statistics training for corporations and individuals. The Institute’s certificates and degrees are certified by the State Council of Higher Education for Virginia, and its courses are approved by the American Council on Education. Elder Research’s Analytics Services are designed to scale based on the unique requirements of each organization and can maximize the client’s return on analytic investment. Elder Research is also a leader in advanced analytic training and offers a variety of training services directed at each of the key stakeholders within an organization. Training builds a common foundation and vision for analytics across business units and lead to the successful adoption, deployment, and maintenance of analytic models within an organization.

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