Apply Job Type Full-time Description SFI 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. Over 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. Key Responsibilities Support the ingestion and migration of large-scale datasets into a cloud-based data platform Assist in modernizing legacy dataflow pipelines into automated, cloud-native solutions Maintain high availability and reliability of real-time data delivery across hybrid environments Monitor, troubleshoot, and optimize data ingestion and routing processes Primary Responsibilities Data Lifecycle Management: Manage the end-to-end flow of real-time data, including validation, quality control, archival, and retrieval Cloud Data Ingest Support: Execute and support ingestion processes for mission-critical datasets into the cloud environment Pipeline Modernization: Assist in transitioning legacy workflows into API-driven and automated scripting solutions (Python/Bash) Operational Monitoring & Support: Ensure continuous data flow in a 24/7 environment; troubleshoot and resolve data delivery issues System Integration & Performance: Monitor and optimize data routing applications and cloud services to ensure performance and low latency Scripting & Maintenance: Maintain and enhance scripts and legacy tools (Bash, Perl, SQL) while supporting migration to modern solutions CI/CD & Automation: Support automated deployment, testing, and monitoring of dataflow applications and pipelines Tier 2 Support: Serve as a technical escalation point for complex data ingestion and formatting issues Documentation: Develop and maintain technical documentation, processes, and configuration standards On-Call Support: Participate in a 24/7 on-call rotation to support mission-critical operations Stakeholder Collaboration: Work with internal teams and external partners to resolve data access, formatting, and integration challenges Requirements Education & Experience Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience) 5–8 years of experience in a technical, data, or systems support role 1–2 years of hands-on experience with cloud platforms (AWS, Azure, or GCP) Strong scripting experience in Python and Bash (Perl experience a plus) Experience supporting data pipelines, ETL processes, or system integrations Familiarity with CI/CD tools and automated workflows Minimum 2 years of Linux/Unix system administration or support experience Ability to obtain and maintain a Public Trust clearance Desired Skills & Qualifications Meteorological 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. System 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. Database Management: Proficiency in SQL and a strong understanding of relational database design, querying, and maintenance. Version Control: Experience using version control and change management tools such as Git, Subversion (SVN), or similar platforms. Certifications Required (one of the following) One foundational or associate-level cloud certification (e.g., AWS Certified Cloud Practitioner or equivalent) Desired Advanced cloud certifications Additional Information: Clearance: Must be authorized to work in the U.S. Background 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. ) Work Environment: Remote Salary Range: $65,000 – $100,000 annually Benefits: SFI offers a comprehensive benefits package. Details available at SFI Careers. This is a full-time, W2 position. No agencies, third parties, or Corp-to-Corp submissions. Spatial 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. SFI participates in E-Verify. Salary Description $65,000.00 - $100,00.00 annually
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