Job summary
Job post source
This job is directly from NT Concepts
Job overview
The Lead Data Engineer at NT Concepts leads the development of a Business Analytics Data Fabric supporting the Defense Intelligence Agency, playing a critical role in transforming intelligence data into actionable insights.
Responsibilities and impact
The role involves technical leadership, designing AI-ready data architectures, collaborating with stakeholders to drive business outcomes, staying current with technology advancements, and managing end-to-end product delivery and team leadership.
Experience and skills
Requires a BS in Computer Science or related field, TS/SCI clearance with CI Polygraph, 10+ years in IT with 2+ years in a technical lead role, and expertise in programming languages and tools like Node.js, Typescript, SQL, Redis, ElasticSearch, and cloud databases; advanced degrees may substitute experience.
Career development
NT Concepts offers strong professional growth opportunities, a culture encouraging technical growth, leadership, and creative problem-solving, and involvement in mission-driven projects.
Work environment and culture
The company culture is collaborative, innovative, and supportive, emphasizing teamwork, technical expertise, and social responsibility through initiatives like #NTC_GivesBack.
Company information
Founded in 1998, NT Concepts is a mid-tier private company serving Intelligence and Defense communities with data and technology solutions focused on national security modernization and transformation.
Team overview
The candidate will join a dynamic, collaborative team working on cutting-edge defense intelligence programs, with opportunities to lead cross-functional teams and collaborate closely with program managers.
Job location and travel
Position is based in the National Capitol Region, Vienna, VA, with hybrid government and contractor facilities and remote flexibility depending on program needs.
Unique job features
The job features work on a critical national security program with advanced AI and ML data architectures, requiring active security clearance and offering a unique opportunity to impact defense intelligence analytics.
Company overview
NT Concepts is a technology and intelligence solutions company that specializes in providing innovative data-driven solutions to the U.S. government and commercial clients. They focus on areas such as data analytics, software engineering, and geospatial intelligence to support national security and defense initiatives. Founded in 1998, NT Concepts has built a reputation for delivering high-quality services that help clients solve complex challenges through advanced technology and strategic insights. The company generates revenue by offering consulting services, custom software solutions, and managed services tailored to meet the specific needs of their clients. Their commitment to innovation and excellence has positioned them as a trusted partner in the government contracting space.
How to land this job
Tailor your resume to highlight leadership in data engineering, emphasizing experience with AI-ready data architectures and advanced database technologies like Neo4j, Redis, and ElasticSearch, as these are critical to NT Concepts' Lead Data Engineer role.
Showcase your technical proficiency with programming languages and frameworks mentioned in the job description, such as Node.js, Typescript, SQL, and Python, and emphasize your ability to lead cross-functional teams and manage end-to-end project delivery.
Apply through multiple channels including NT Concepts' official career page and LinkedIn to maximize your application visibility and ensure you are considered through various recruitment avenues.
Connect on LinkedIn with current employees in NT Concepts' data engineering or intelligence divisions; use ice breakers like commenting on recent company innovations in defense intelligence or asking about their experiences working on AI and data fabric projects.
Optimize your resume for ATS by incorporating keywords directly from the job description such as 'AI-ready data architectures,' 'TS/SCI clearance,' 'Node.js,' 'Redis,' and 'cross-functional leadership' to pass automated screenings effectively.
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