Active TS/SCI clearance or SCI-eligibility, ideally with DoD SAP/SAR access.
Advanced degree in a quantitative field or equivalent experience, plus 7-8 years in a relevant role.
Proven experience with graph databases and analytics, particularly Neo4j and Gremlin.
Strong programming skills in Python, Java, Node.js, or Go, emphasizing clean and scalable code.
Extensive background in data engineering, including ETL and data quality assessments.
Practical knowledge of engineering best practices, especially in DevOps and MLOps environments.
Experience with cloud platforms for deploying enterprise applications.
Responsibilities
Design and implement graph data structures for complex system relationships using Neo4j or similar tools.
Build and integrate web application back ends, contributing to front-end development as necessary.
Develop and maintain data pipelines focusing on quality across structured and unstructured data.
Engineer workflows for high-velocity, sequential data processing.
Deploy applications in cloud environments, applying containerization and orchestration techniques.
Utilize GenAI/ML techniques to address graph-related and NoSQL challenges.
Conduct rigorous testing to ensure scalable and maintainable solutions.
Benefits
Opportunity to significantly impact the organization and customer outcomes.
Potential for rapid growth based on contributions rather than tenure.
Engagement with complex challenges to enhance technical and business acumen.
Competitive benefits package.
Full Job Description
Job Description
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.
Qualifications
Required Qualifications
Clearance: Active TS/SCI clearance (or SCI-eligibility), ideally with past or current DoD SAP/SAR access.
Education & experience: 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.
Graph databases & analytics: 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.
Programming: Strong programming skills in modern languages such as Python, Java, Node.js, or Go, with expertise in writing clean, maintainable, and scalable code.
Full-stack delivery: Experience building and integrating web application back ends and contributing to front-end development when needed.
Data engineering & pipelines: 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.
Engineering best practices: Practical knowledge of software engineering best practices, including DevOps, DataOps, MLOps, containerization (e.g., Docker), and orchestration.
Distributed computing & cloud: Experience with distributed computing frameworks and cloud platforms, with a focus on deploying enterprise applications in cloud environments.
Testing: Strong testing skills, including unit testing, integration/API testing, and ensuring robust, scalable solutions.
NoSQL & graph/GenAI: Experience with NoSQL databases and working with graph-related problems, including the use of GenAI/ML techniques like GraphRAG.
Scalable systems alignment: Proven ability to align data engineering approaches with large-scale interconnected systems, ensuring adaptability and scalability.
Preferred Qualifications
Past or current DoD Special Access Program (SAP) / Special Access Required (SAR) access.
Familiarity with aerospace and defense programs and/or mission data.
Hands-on experience with FastAPI, Pandas, and React + TypeScript.
Interest or experience in running simulations in Python and applying advanced analytics to solve complex problems.
Additional Information
We Value:
Drive: Passion and energy to implement quality technical solutions. Self-motivation and intellectual curiosity
Commitment to Quality: Passion to conceive and produce world-class solutions that drive real-world value for the customer
Customer Focus: Consultative approach to solving problems for customers. Expectations management.
Communication: Superior communication skills. Ability to clearly articulate problems, solutions, risks, rewards etc. (written and verbal)
Technical Skills: Love for technology. You have to be inherently passionate about technology.
Business Acumen: Technology ultimately is used to enable the business. We look for people who understand how the businesses can be enabled through their technical solutions
What we offer:
Ability to make a noticeable difference for the organization and our customers
Tremendous growth opportunity by becoming part of a rapidly growing organization. It's not your tenure but what you can bring to the table that defines how your career will be shaped. You control your growth.
Complex but interesting challenges to improve the depth and breadth of your technical and business skills. Our consultants are business technologists and understand how technology drives business.
