Data Engineer (SME)

Cintel Inc•Huntsville, AL
•Onsite

About The Position

Cintel, Inc. is seeking a highly skilled Data Engineer (SME) to support advanced intelligence and analytics initiatives at Redstone Arsenal in Huntsville, Alabama. The engineer will work with open-source, Commercial Off-The-Shelf (COTS), and Government Off-The-Shelf (GOTS) technologies to develop and deliver an advanced visual analytics application that transforms streams of structured and semi-structured data into actionable intelligence for mission-critical operations. The role involves developing analytics applications for desktop and web platforms, building solutions for bulk analysis of relational and semi-structured data, and designing and maintaining enterprise-scale databases and data warehouse integrations. The engineer will collaborate with engineering and mission teams to deliver solutions that meet program and government requirements. Cintel describes its engineers, analysts, and developers as motivated, technical, self-organized problem solvers who are trusted to develop solutions to ill-defined problems. The company values self-motivation, learning new skills, and keeping up with technology trends. Cintel is a small business serving government clients in software development, energy, cybersecurity, modeling and simulation, data science, and programmatic support. The company states its commitment to equal employment opportunity and prohibits unlawful harassment and discrimination.

Requirements

  • Active Top Secret (TS) security clearance.
  • Bachelor’s degree (BS or BA) in Computer Science, Engineering, Information Systems, or a related technical field.
  • Senior-level experience in data engineering, database design, and analytics development.
  • Experience with Java, AWS, ETL, Spark/Scala, SQL/PLSQL, Postgres, NiFi, Informatica, Linux, and development, optimization, and tuning of data pipelines.
  • Strong experience working with structured and semi-structured data sources.
  • Experience designing and supporting enterprise-scale database and data warehouse systems.
  • Proficiency with data visualization tools and analytic software for desktop and web environments.
  • 10+ years of related experience.

Nice To Haves

  • Experience supporting Department of Defense or Intelligence Community programs.
  • Familiarity with high-performance computing environments.
  • Experience integrating data analytics solutions into existing enterprise architectures.

Responsibilities

  • Design, develop, and deliver advanced visual analytic applications for desktop and web-based platforms.
  • Develop and implement data analytics solutions for bulk analysis of relational and semi-structured data.
  • Use advanced graphics, data visualization techniques, and high-performance computing to support intelligence workflows.
  • Design strategies for enterprise database systems, including standards for operations, programming, and security.
  • Design, construct, and maintain large-scale relational databases.
  • Integrate new systems with existing data warehouse architectures.
  • Optimize system performance, scalability, and functionality.
  • Collaborate with cross-functional engineering and mission teams to deliver analytics solutions.
  • Apply open-source, COTS, and GOTS technologies to meet program and government requirements.
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