Job 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
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.