Senior Software Engineer – Active TS/SCI Clearance

Oteemo Inc.

Senior Software Engineer designing and implementing graph data structures using Neo4j and Gremlin at Oteemo. Building robust ETL pipelines and deploying cloud applications.

Posted 6/30/2026full-timeRemote • Virginia • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

CloudDockerETLGoJavaJavaScriptNeo4jNode.jsNoSQLPythonTypeScript

About the role

Key responsibilities & impact

Design, model, and implement graph data structures that capture complex system relationships, workflows, and time-dependent processes using Neo4j, Gremlin, or similar tools.
Build and integrate web application back ends and contribute to front-end development as needed.
Develop and maintain robust ETL and data pipelines spanning structured, semi-structured, and unstructured data.
Engineer real-time and event-streaming workflows that handle high-velocity, sequential data flows.
Deploy and operate enterprise applications in cloud environments using containerization and orchestration.
Apply GenAI/ML techniques, including GraphRAG, to graph-related and NoSQL data problems.
Write thorough unit, integration, and API tests to ensure robust, scalable, and maintainable solutions.
Run simulations and apply advanced analytics in Python to solve complex mission problems.

Requirements

What you’ll need

Active TS/SCI clearance (or SCI-eligibility), ideally with past or current DoD SAP/SAR access.
Advanced degree in a quantitative field (e.g., computer science, machine learning, applied statistics, or mathematics) or equivalent experience, with 7–8 years of relevant experience.
Proven experience with graph databases and analytics, including Neo4j, Gremlin, or similar tools, and query languages like Cypher or Gremlin.
Strong programming skills in modern languages such as Python, Java, Node.js, or Go.
Experience building and integrating web application back ends and contributing to front-end development when needed.
Extensive experience with data engineering and pipelines, including ETL, data quality, and working across structured, semi-structured, and unstructured data.
Practical knowledge of software engineering best practices, including DevOps, DataOps, MLOps, containerization (e.g., Docker), and orchestration.
Experience with distributed computing frameworks and cloud platforms, with a focus on deploying enterprise applications in cloud environments.
Strong testing skills, including unit testing, integration/API testing, and ensuring robust, scalable solutions.
Experience with NoSQL databases and working with graph-related problems, including the use of GenAI/ML techniques like GraphRAG.
Proven ability to align data engineering approaches with large-scale interconnected systems, ensuring adaptability and scalability.

Benefits

Comp & perks

Ability to make a noticeable difference for the organization and our customers
Tremendous growth opportunity by becoming part of a rapidly growing organization.
Complex but interesting challenges to improve the depth and breadth of your technical and business skills.
Competitive pay and benefits

ATS Keywords

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Hard Skills & Tools

Graph Data StructuresETL DevelopmentPython ProgrammingJava ProgrammingNode.js ProgrammingGo ProgrammingUnit TestingIntegration/API TestingNoSQL DatabasesGenAI/ML Techniques