Job Description

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