Note: The job is a remote job and is open to candidates in USA. Spatial Front, Inc is seeking an IDF Dataflow Analyst to support a large-scale data modernization initiative. The role involves managing the flow of real-time data, assisting in the migration of datasets to a cloud platform, and ensuring the reliability of data delivery across environments.

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
• Manage the end-to-end flow of real-time data, including validation, quality control, archival, and retrieval
• Execute and support ingestion processes for mission-critical datasets into the cloud environment
• Assist in transitioning legacy workflows into API-driven and automated scripting solutions (Python/Bash)
• Ensure continuous data flow in a 24/7 environment; troubleshoot and resolve data delivery issues
• Monitor and optimize data routing applications and cloud services to ensure performance and low latency
• Maintain and enhance scripts and legacy tools (Bash, Perl, SQL) while supporting migration to modern solutions
• Support automated deployment, testing, and monitoring of dataflow applications and pipelines
• Serve as a technical escalation point for complex data ingestion and formatting issues
• Develop and maintain technical documentation, processes, and configuration standards
• Participate in a 24/7 on-call rotation to support mission-critical operations
• Work with internal teams and external partners to resolve data access, formatting, and integration challenges

Skills

• 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
• One foundational or associate-level cloud certification (e.g., AWS Certified Cloud Practitioner or equivalent)
• 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
• Desired: Advanced cloud certifications

Benefits

• SFI offers a comprehensive benefits package. Details available at SFI Careers.
• This is a full-time, W2 position.

Company Overview