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Remote Data Infrastructure Jobs in Remote, OR (NOW HIRING)

Data Scientist

OR · On-site +1

... infrastructure requirements. * The contractor shall conduct quarterly reviews to track cost ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

... infrastructure requirements. * The contractor shall conduct quarterly reviews to track cost ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Senior Analyst, Digital Optimization

OR · On-site +1

$92.40K - $109.20K/yr

... Remote in the United States location in Remote, Remote. Why Wyndham? By joining Wyndham Hotels ... data infrastructure at a scale that supports our network of 9,000+ hotels worldwide. * Highly ...

AI Solutions Manager

OR · On-site +1

$130K - $150K/yr

Fully Remote Reports To: Business Transformation Lead Expion Health is building the future of ... Partner with the broader analytics and data team to identify infrastructure gaps that limit AI ...

AI Solutions Manager

Myrtle Point, OR · Remote

$130K - $150K/yr

Fully Remote Reports To: Business Transformation Lead Expion Health is building the future of ... Partner with the broader analytics and data team to identify infrastructure gaps that limit AI ...

Senior Lead Data Architect

OR · Remote

$63 - $84.50/hr

At Lumen, you'll work on infrastructure customers rely on today and build for what's next, where ... Location This is a fully remote opportunity open to candidates located anywhere in the U.S. The ...

New

Business Transformation Lead

OR · On-site +1

$175K - $225K/yr

Fully Remote Reports To: President, Service & Growth Expion Health is building the future of ... Understanding of data infrastructure concepts and how data readiness affects AI capability Why ...

We are seeking an FAA Part 107 Remote Pilot based in the Western US to support remote UAS flight ... Log flight data accurately and complete required reporting. Follow standardized operating ...

Senior Lead IT Engineer

OR · On-site +1

$132.23K - $176.31K/yr

At Lumen, you'll work on infrastructure customers rely on today and build for what's next, where ... Benefits Bonus Structure #LI-Remote Requisition #: 341788 Life at Lumen Life at Lumen is human and ...

... secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive ... Communicate urgently, clearly, and in detail with customers during incidents via email and remote ...

Technical and practical knowledge of IT-Infrastructure Solutions (such as data base solutions ... remote connectivity, security and image processing. * Experience with and understanding of HL7 or ...

Technical and practical knowledge of IT-Infrastructure Solutions (such as data base solutions ... remote connectivity, security and image processing. * Experience with and understanding of HL7 or ...

CMMC Compliance Analyst

OR · Remote

$105.79K - $141.05K/yr

At Lumen, you'll work on infrastructure customers rely on today and build for what's next, where ... Location This is a remote opportunity open to candidates located anywhere in the U.S. The Main ...

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Remote Data Infrastructure information

What are the key skills and qualifications needed to thrive as a Remote Data Infrastructure Engineer, and why are they important?

To excel as a Remote Data Infrastructure Engineer, you need a strong background in computer science, data architecture, and experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with tools like Terraform, Kubernetes, and data pipeline technologies, as well as relevant certifications (e.g., AWS Certified Solutions Architect), is typically required. Strong problem-solving abilities, clear communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting. These competencies ensure reliable, scalable data systems and effective teamwork across distributed environments.

What are some common challenges faced by professionals working in remote data infrastructure roles?

Professionals in remote data infrastructure roles often encounter challenges such as ensuring seamless communication across distributed teams, maintaining high availability and performance of data systems, and managing security risks associated with remote access. Coordinating with colleagues across different time zones can require flexibility in scheduling and proactive communication. Additionally, remote data infrastructure engineers must stay up-to-date with evolving cloud technologies and best practices to effectively support scalable, reliable, and secure data architectures.

What is remote data infrastructure?

Remote data infrastructure refers to the systems, tools, and processes that enable organizations to collect, store, manage, and analyze data from remote locations, often via cloud-based platforms. This infrastructure allows teams to access and work with data securely from anywhere, supporting distributed work environments and scalable data solutions. It typically involves cloud storage, data pipelines, databases, and security protocols tailored for remote accessibility. Remote data infrastructure is essential for businesses that operate in multiple locations or have remote teams.
What job categories do people searching Remote Data Infrastructure jobs in Remote, OR look for? The top searched job categories for Remote Data Infrastructure jobs in Remote, OR are:

Full-time

Posted 12 days ago


Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
SOSi is seeking a Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
  • The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning.
  • The contractor shall integrate customer feedback into model iteration cycles, leveraging Agile development methodologies to maintain responsiveness to mission requirements.
  • The contractor shall submit the Predictive Model Performance Report, documenting key findings, model accuracy metrics, and operational impact assessments.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.

Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or;
    • seven (7) years of equivalent experience in machine learning and predictive modeling.
  • Proposed personnel possess the knowledge and capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes.
  • Proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with experience in working with structured and unstructured data sources.
  • Knowledge of data visualization, feature selection, and geospatial analytics is required.
  • Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working within an Agile sprint cycle to deliver iterative improvements.
  • Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.
  • Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows.

Preferred Qualifications:
  • Desirable but not required certifications include AWS Certified Data Analytics - Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS).

Additional Information
Work Environment
  • Full remote flexibility.

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.