hirly

Spatial Front, Inc

Cloud Dataflow Engineer/Analyst

Hybrid

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at Spatial Front, Inc first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included

Matched against 2.4M live jobs from 200,000+ employers in 200+ countries.

Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Seniority
Mid level
Stated salary
$75,000 – $110,000 per year
Work mode
On-site / unstated
First seen by hirly
1 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Description

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.

Requirements

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.
Original posting on Spatial Front, Inc's site ↗

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job
Cloud Dataflow Engineer/Analyst · Hybrid | hirly.me