
Posted 1 month ago
Cloud Dataflow Engineer/Analyst
AI Summary
Supports a hybrid enterprise data modernization effort by ingesting and automating real-time datasets from legacy on-premise systems into cloud platforms, maintaining reliability as Tier 2 escalation with 24/7 on-call duty.
About this role
Spatial Front, Inc. (SFI), a two-time USA Today Top Workplaces awardee and Washington Post Top Workplaces honoree, is seeking a Cloud Dataflow Engineer / Analyst to support a mission-critical enterprise data modernization initiative. In this role, you will join our Dataflow Team to serve as the critical operational bridge moving high-volume, real-time datasets from legacy on-premise infrastructure into a centralized, high-availability cloud platform.
Over the next 6–12 months, your primary focus will be supporting the ingestion, automation, and reliability of real-time data streams to power scalable data access, advanced scientific analytics, and future AI/ML capabilities across hybrid environments.
Key Responsibilities
Data Pipeline & Cloud Ingestion
- Execute and streamline large-scale data ingestion and migration processes from legacy on-premise systems to cloud environments (AWS/Azure/GCP).
- Transition legacy dataflow pipelines into automated, API-driven workflows using Python, Bash, and modern CI/CD practices.
- Maintain, refactor, and migrate legacy scripts and tools (Bash, Perl, SQL) to scalable, cloud-native solutions.
- This role offers a unique opportunity to learn the foundational legacy systems of the National Weather Service while simultaneously building the "Gold Standard" of cloud-based weather data dissemination.
Operations, Monitoring & Reliability
- Ensure continuous, low-latency delivery of mission-critical, high-volume data streams in a 24/7 operational environment.
- Monitor, troubleshoot, and optimize data routing applications, ingestion processes, and underlying cloud services.
- Serve as a Tier 2 technical escalation point for complex data ingestion, formatting, and delivery issues.
- Participate in a 24/7 on-call rotation to support mission-critical availability.
Data Lifecycle & System Integration
- Manage end-to-end data flow operations, including validation, quality control, archival, and retrieval.
- Collaborate with internal engineering teams and external stakeholders to resolve data access, formatting, and integration challenges.
- Author and maintain technical documentation, standard operating procedures (SOPs), and configuration standards.
Education & Experience
- Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience)
- Cloud Infrastructure: 1–2 years of hands-on experience with cloud platforms (AWS, Azure, or GCP).
- Linux Administration: 2+ years of Linux/Unix system administration or engineering support experience.
- Scripting & Databases: Strong proficiency in Python and Bash scripting, alongside solid SQL experience and relational database fundamentals.
- Pipelines & CI/CD: Demonstrated experience supporting ETL pipelines, data integration workflows, and automated CI/CD deployment tools.
- Certification: At least one (1) active foundational or associate-level cloud certification (e.g., AWS Certified Cloud Practitioner or equivalent).
- Ability to obtain and maintain a Public Trust clearance
Desired Skills & Qualifications
- Domain Expertise: Experience with scientific or meteorological data dissemination systems (NOAA, NASA, DoD) and familiarity with data formats such as METAR, TAF, GRIB, and BUFR.
- System Monitoring: Hands-on experience with monitoring tools (e.g., Big Brother, Nagios) or cloud-native monitoring solutions (e.g., AWS CloudWatch).
- Legacy Tools: Experience with Perl for legacy script migration.
- Version Control: Proficiency with Git, SVN, or similar version control tools.
- Advanced Certifications: Associate or Professional-level cloud engineering certifications
Additional Information:
- Clearance: Must be authorized to work in the U.S. and be able to obtain and keep a public trust clearance
- 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: Hybrid
- Salary Range: $75,000 – $110,000 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.
Skills
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