{"schemaVersion":"jobsearcher.job.v1","id":"d50c7a493ec6522ec00b5f13","url":"https://jobsearcher.com/jobs/d50c7a493ec6522ec00b5f13","canonicalUrl":"https://jobsearcher.com/jobs/d50c7a493ec6522ec00b5f13","title":"Data Engineer (Secret)","description":"DCI Job Requirement for:\n\n*Data Engineer *\n\nLocation: Washington, DC\n\nDCI Job Requirement for:\n\n*Data Engineer*\n\nLocation: Washington, D.C.\n\n*Job Description: *\n\n* Serve as a Data Engineer on a cross-functional team to help solve pressing problems\n* Integrate data, transform insights, and build applications for operational decisions\n* Setup transfers of data feeds from source systems into location\n* Write transformations and derive new datasets using Spark for distributed computation\n* Monitor build progress and debug build problems\n* Design applications that address operational questions\n* Execute requests for information (RFI’s) surrounding the platform’s data footprint\n* Work with product teams while debugging/understanding the code backing our platform\n\n*Qualifications:*\n\n· BS in Computer Science / Engineering (or related career field) preferred\n\n· Strong Data Engineering background\n\n· Experience with Spark, Pyspark, and/or Pandas\n\n· Extensive experience coding/programming in:\n\n* Python\n* SQL, R or Similar\n\n· Strong understanding of algorithms and data structures as they pertain to development\n\n· Experience with Foundry is preferred\n\n*Required: Active Secret Security Clearance*\n\nJob Type: Full-time\n\nSalary: $175,000-$260,000\n\nJob Type: Full-time\n\nPay: $175,000.00 - $260,000.00 per year\n\nBenefits:\n* 401(k)\n* 401(k) matching\n* Dental insurance\n* Flexible schedule\n* Flexible spending account\n* Health insurance\n* Health savings account\n* Life insurance\n* Paid time off\n* Parental leave\n* Professional development assistance\n* Relocation assistance\n* Retirement plan\n* Tuition reimbursement\n* Vision insurance\n\nExperience:\n* data engineering: 5 years (Preferred)\n* Python coding/programming: 5 years (Preferred)\n* building and managing data pipelines: 5 years (Preferred)\n* data transformation: 5 years (Preferred)\n* Foundry : 1 year (Preferred)\n* Spark and/or Pyspark: 3 years (Preferred)\n* Pandas: 3 years (Preferred)\n\nSecurity clearance:\n* Secret (Required)\n\nWork Location: In person","company":"Dci Solutions","rawCompany":"dci solutions","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-08-25T13:13:53.782Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer (Secret)","description":"DCI Job Requirement for:\n\n*Data Engineer *\n\nLocation: Washington, DC\n\nDCI Job Requirement for:\n\n*Data Engineer*\n\nLocation: Washington, D.C.\n\n*Job Description: *\n\n* Serve as a Data Engineer on a cross-functional team to help solve pressing problems\n* Integrate data, transform insights, and build applications for operational decisions\n* Setup transfers of data feeds from source systems into location\n* Write transformations and derive new datasets using Spark for distributed computation\n* Monitor build progress and debug build problems\n* Design applications that address operational questions\n* Execute requests for information (RFI’s) surrounding the platform’s data footprint\n* Work with product teams while debugging/understanding the code backing our platform\n\n*Qualifications:*\n\n· BS in Computer Science / Engineering (or related career field) preferred\n\n· Strong Data Engineering background\n\n· Experience with Spark, Pyspark, and/or Pandas\n\n· Extensive experience coding/programming in:\n\n* Python\n* SQL, R or Similar\n\n· Strong understanding of algorithms and data structures as they pertain to development\n\n· Experience with Foundry is preferred\n\n*Required: Active Secret Security Clearance*\n\nJob Type: Full-time\n\nSalary: $175,000-$260,000\n\nJob Type: Full-time\n\nPay: $175,000.00 - 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