Senior Data Engineer

New Yesterday

Company Overview: Join a fast-growing company highly experienced in cyber security, cloud computing, virtualization, big data analytics, and project management!  IMTS offers competitive compensation, excellent benefits including tuition reimbursement and employer-contributed 401K, and referral bonuses.  We work with the best customers on-site at top government agencies.
Job Title: Senior Data Engineer Primary Location: Washington, DC Clearance: Top-Secret (TS)
Position Summary: We are seeking an experienced Senior Data Engineer to support a high-visibility contract.  This position plays a critical role in the development and deployment of scalable data analytics and enterprise-level database solutions. The ideal candidate will be a technical subject matter expert (SME) capable of leading complex assignments, supervising engineering teams when required, and ensuring performance and security standards across integrated systems. The ideal candidate will serve as a technical SME, capable of supervising engineers, leading complex assignments, and delivering innovative solutions across diverse data environments. Responsibilities: Develop and support data analytics capabilities for desktop and web-based visual analytic tools. Architect and manage enterprise-level database systems and relational data warehouses. Build scalable ETL pipelines for structured and semi-structured data (e.g., JSON, XML). Integrate new systems into existing warehouse infrastructures. Ensure adherence to security and performance standards for all data systems. Leverage advanced computing, graphics, and open source/GOTS/COTS tools to support analytics. Collaborate with analysts, engineers, and stakeholders in secure federal environments.
Required Qualifications: 8+ years of relevant data engineering experience (or equivalent certifications and past performance). Active Top Secret clearance is required. U.S. Citizenship is required. Enterprise database design with tools such as PostgreSQL, SQL Server, Oracle, or Snowflake. Data pipeline development and ETL processing of structured/semi-structured data. Dashboard/visualization tools: Power BI, Tableau, D3.js, or equivalent. Parallel processing or distributed computing using Apache Spark, Dask, or similar frameworks. Scripting and automation with Python or R. API integration and secure data exchange between systems.
Preferred Qualifications: Certified Data Management Professional (CDMP) AWS Certified Data Analytics Microsoft Certified: Azure Data Engineer Associate Certified Information Systems Security Professional (CISSP)
IMTS is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
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Location:
Washington
Category:
Technology

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