Senior Software Engineer – Active Secret, Top Secret Clearance (SCI-eligibility)

Oteemo Inc.

Senior Software Engineer designing and implementing graph data structures using Neo4j for a consulting firm. Working on cloud deployments, data pipelines, and collaborating with global teams.

Posted 7/13/2026full-timeRemote • Virginia • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing graph data structures and data pipelines, with a strong focus on data quality and real-time processing. Proficient in deploying enterprise applications in cloud environments while applying DevOps, DataOps, and MLOps practices.

Highest-signal resume keywords

Graph Database ExpertisePython ProgrammingETL and Data Pipeline DevelopmentDevOps and ContainerizationActive Security Clearance

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Graph Data StructuresNeo4jGremlinPythonJavaNode.jsETLData QualityUnit TestingNoSQL

Tools & Technologies

DockerCloud PlatformsEvent StreamingGraphRAGDistributed Computing

Certifications & Qualifications

Active Secret/TS/SCI Clearance

Industry Keywords

Data EngineeringReal-Time Data ProcessingMLOpsDataOpsComplex System Relationships

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 to deliver complete, production-ready features.
Develop and maintain robust ETL and data pipelines spanning structured, semi-structured, and unstructured data, with strong attention to data quality.
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, applying DevOps, DataOps, and MLOps practices.
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.
Align data engineering approaches with large-scale interconnected systems to ensure adaptability and scalability.

Requirements

What you’ll need

Active Secret/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; ability to model complex system relationships, workflows, and time-dependent processes.
Strong programming skills in modern languages such as Python, Java, Node.js, or Go, with expertise in writing clean, maintainable, and scalable code.
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; familiarity with event streaming, real-time data processing, and high-velocity sequential data flows.
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