The U.S. Social Sector, Healthcare, and Public Sector Entities (SHaPE) practice, specifically within the Defense and Security subsector, needs to address complex and pressing challenges for clients like the U.S. Department of Defense (DoD). This involves designing and developing core data frameworks to drive meaningful mission outcomes by enabling software capabilities for various users, shifting towards asset-based consulting, and building a foundation for entrepreneurial culture.
Requirements
- 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, 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.
Responsibilities
- Design and develop core data frameworks to drive meaningful mission outcomes for our clients by enabling software capabilities used by data engineers, data scientists, consulting teams and external clients.
- Work in cross-functional Agile project teams alongside data scientists, machine learning engineers, other data engineers, project managers, and industry experts to innovate alongside clients and CSTs to develop new or existing assets.
- Leverage engineering frameworks and best practices.
- Build a foundation for the expansion of our investment into our entrepreneurial culture.
- 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.
- Proven ability to align data engineering approaches with large-scale interconnected systems, ensuring adaptability and scalability.
Other
- 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.
- Familiarity with aerospace and defense programand/or mission data is preferred.
- You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
- On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
