{"schemaVersion":"jobsearcher.job.v1","id":"5f05e0a3f86322edb5b0db44","url":"https://jobsearcher.com/jobs/5f05e0a3f86322edb5b0db44","canonicalUrl":"https://jobsearcher.com/jobs/5f05e0a3f86322edb5b0db44","title":"IDF Dataflow Analyst","description":"Description:\n\nSFI is seeking an IDF Dataflow Analyst to support a large-scale data modernization initiative transitioning legacy, on-premise systems into a centralized, high-availability cloud data platform. This role is part of a Dataflow Team that serves as the critical bridge for the movement of real-time, high-volume data across a complex enterprise environment.\n\nOver the next 6–12 months, the primary focus will be on supporting the development and population of a centralized, real-time data repository designed to enable scalable data access, advanced analytics, and future AI/ML capabilities.\n\nKey Responsibilities\n\nSupport the ingestion and migration of large-scale datasets into a cloud-based data platform\nAssist in modernizing legacy dataflow pipelines into automated, cloud-native solutions\nMaintain high availability and reliability of real-time data delivery across hybrid environments\nMonitor, troubleshoot, and optimize data ingestion and routing processes\n\nPrimary Responsibilities\n\nData Lifecycle Management:\n Manage the end-to-end flow of real-time data, including validation, quality control, archival, and retrieval\nCloud Data Ingest Support:\n Execute and support ingestion processes for mission-critical datasets into the cloud environment\nPipeline Modernization:\n Assist in transitioning legacy workflows into API-driven and automated scripting solutions (Python/Bash)\nOperational Monitoring & Support:\n Ensure continuous data flow in a 24/7 environment; troubleshoot and resolve data delivery issues\nSystem Integration & Performance:\n Monitor and optimize data routing applications and cloud services to ensure performance and low latency\nScripting & Maintenance:\n Maintain and enhance scripts and legacy tools (Bash, Perl, SQL) while supporting migration to modern solutions\nCI/CD & Automation:\n Support automated deployment, testing, and monitoring of dataflow applications and pipelines\nTier 2 Support:\n Serve as a technical escalation point for complex data ingestion and formatting issues\nDocumentation:\n Develop and maintain technical documentation, processes, and configuration standards\nOn-Call Support:\n Participate in a 24/7 on-call rotation to support mission-critical operations\nStakeholder Collaboration:\n Work with internal teams and external partners to resolve data access, formatting, and integration challenges\nRequirements:\n\nEducation & Experience\n\nBachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience)\n5–8 years of experience in a technical, data, or systems support role\n1–2 years of hands-on experience with cloud platforms (AWS, Azure, or GCP)\nStrong scripting experience in Python and Bash (Perl experience a plus)\nExperience supporting data pipelines, ETL processes, or system integrations\nFamiliarity with CI/CD tools and automated workflows\nMinimum 2 years of Linux/Unix system administration or support experience\nAbility to obtain and maintain a Public Trust clearance\n\nDesired Skills & Qualifications\n\nMeteorological Domain Expertise: Experience working with scientific data dissemination and observation systems within NOAA, NASA, or Department of Defense environments; familiarity with standard meteorological data formats such as METAR, TAF, GRIB, and BUFR.\nSystem Monitoring: Hands-on experience with enterprise monitoring tools, including Big Brother, Nagios, or cloud-native solutions (e.g., Amazon CloudWatch) to ensure system performance, availability, and reliability.\nDatabase Management: Proficiency in SQL and a strong understanding of relational database design, querying, and maintenance.\nVersion Control: Experience using version control and change management tools such as Git, Subversion (SVN), or similar platforms.\n\nCertifications Required (one of the following)\n\nOne foundational or associate-level cloud certification (e.g., AWS Certified Cloud Practitioner or equivalent)\n\nDesired\n\nAdvanced cloud certifications\n\nAdditional Information:\n\nClearance: Must be authorized to work in the U.S.\nBackground checks may include Criminal History, Education Verification, Employment Verification, Professional Certifications, and Credit History. (Public Trust investigations typically take 4–8 weeks and require fingerprinting.)\nWork Environment: Remote\nSalary Range: $65,000 – $100,000 annually\nBenefits: SFI offers a comprehensive benefits package. Details available at SFI Careers.\nThis is a full-time, W2 position.\nNo agencies, third parties, or Corp-to-Corp submissions.\nSpatial Front Inc. is an Equal Opportunity Employer — all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status.\nSFI participates in E-Verify.","company":"Spatial Front","rawCompany":"spatial front","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-19T16:04:43.390Z","occupations":[{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"IDF Dataflow Analyst","description":"Description:\n\nSFI is seeking an IDF Dataflow Analyst to support a large-scale data modernization initiative transitioning legacy, on-premise systems into a centralized, high-availability cloud data platform. This role is part of a Dataflow Team that serves as the critical bridge for the movement of real-time, high-volume data across a complex enterprise environment.\n\nOver the next 6–12 months, the primary focus will be on supporting the development and population of a centralized, real-time data repository designed to enable scalable data access, advanced analytics, and future AI/ML capabilities.\n\nKey Responsibilities\n\nSupport the ingestion and migration of large-scale datasets into a cloud-based data platform\nAssist in modernizing legacy dataflow pipelines into automated, cloud-native solutions\nMaintain high availability and reliability of real-time data delivery across hybrid environments\nMonitor, troubleshoot, and optimize data ingestion and routing processes\n\nPrimary Responsibilities\n\nData Lifecycle Management:\n Manage the end-to-end flow of real-time data, including validation, quality control, archival, and retrieval\nCloud Data Ingest Support:\n Execute and support ingestion processes for mission-critical datasets into the cloud environment\nPipeline Modernization:\n Assist in transitioning legacy workflows into API-driven and automated scripting solutions (Python/Bash)\nOperational Monitoring & Support:\n Ensure continuous data flow in a 24/7 environment; troubleshoot and resolve data delivery issues\nSystem Integration & Performance:\n Monitor and optimize data routing applications and cloud services to ensure performance and low latency\nScripting & Maintenance:\n Maintain and enhance scripts and legacy tools (Bash, Perl, SQL) while supporting migration to modern solutions\nCI/CD & Automation:\n Support automated deployment, testing, and monitoring of dataflow applications and pipelines\nTier 2 Support:\n Serve as a technical escalation point for complex data ingestion and formatting issues\nDocumentation:\n Develop and maintain technical documentation, processes, and configuration standards\nOn-Call Support:\n Participate in a 24/7 on-call rotation to support mission-critical operations\nStakeholder Collaboration:\n Work with internal teams and external partners to resolve data access, formatting, and integration challenges\nRequirements:\n\nEducation & Experience\n\nBachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience)\n5–8 years of experience in a technical, data, or systems support role\n1–2 years of hands-on experience with cloud platforms (AWS, Azure, or GCP)\nStrong scripting experience in Python and Bash (Perl experience a plus)\nExperience supporting data pipelines, ETL processes, or system integrations\nFamiliarity with CI/CD tools and automated workflows\nMinimum 2 years of Linux/Unix system administration or support experience\nAbility to obtain and maintain a Public Trust clearance\n\nDesired Skills & Qualifications\n\nMeteorological Domain Expertise: Experience working with scientific data dissemination and observation systems within NOAA, NASA, or Department of Defense environments; familiarity with standard meteorological data formats such as METAR, TAF, GRIB, and BUFR.\nSystem Monitoring: Hands-on experience with enterprise monitoring tools, including Big Brother, Nagios, or cloud-native solutions (e.g., Amazon CloudWatch) to ensure system performance, availability, and reliability.\nDatabase Management: Proficiency in SQL and a strong understanding of relational database design, querying, and maintenance.\nVersion Control: Experience using version control and change management tools such as Git, Subversion (SVN), or similar platforms.\n\nCertifications Required (one of the following)\n\nOne foundational or associate-level cloud certification (e.g., AWS Certified Cloud Practitioner or equivalent)\n\nDesired\n\nAdvanced cloud certifications\n\nAdditional Information:\n\nClearance: Must be authorized to work in the U.S.\nBackground checks may include Criminal History, Education Verification, Employment Verification, Professional Certifications, and Credit History. (Public Trust investigations typically take 4–8 weeks and require fingerprinting.)\nWork Environment: Remote\nSalary Range: $65,000 – $100,000 annually\nBenefits: SFI offers a comprehensive benefits package. Details available at SFI Careers.\nThis is a full-time, W2 position.\nNo agencies, third parties, or Corp-to-Corp submissions.\nSpatial Front Inc. is an Equal Opportunity Employer — all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status.\nSFI participates in E-Verify.","datePosted":"2026-08-19T16:04:43.390Z","dateModified":"2026-08-19T16:04:43.390Z","hiringOrganization":{"@type":"Organization","name":"Spatial Front","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5f05e0a3f86322edb5b0db44"},"url":"https://jobsearcher.com/jobs/5f05e0a3f86322edb5b0db44"}}