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Remote Data Infrastructure Jobs (NOW HIRING)

AI Data Engineer

Troy, MI ยท Remote

$80K - $100K/yr

AI Data Engineer - Remote Bright Vision Technologies is a technology consulting and software ... Open-source contributions to data infrastructure projects. * Experience supporting frontier model ...

$59 - $76/hr

Develop the infrastructure for our semantic and ontology layers. (including authoring and ... Experience with data modeling, schema design, and data quality as platform engineering concerns.

ML Data Engineer

Sterling, VA ยท Remote

$100K - $150K/yr

ML Data Engineer - Remote Bright Vision Technologies is a technology consulting and software ... Open-source contributions to data infrastructure projects. * Experience supporting frontier model ...

Data Engineer

Burlington, MA ยท Remote

$145K - $180K/yr

Help build the data infrastructure that enables MatrixSpace to continuously learn from real-world ... This is NOT a fully remote position! * 4-6 years of experience as a Data Engineer, Backend Engineer ...

$59 - $76/hr

Develop the infrastructure for our semantic and ontology layers. (including authoring and ... Design agent-driven data access patterns, including permission-aware semantic discovery, identity ...

Data Engineer (DoD Secret | Remote)

Washington, DC ยท Remote

$129K - $155K/yr

Remote (U.S. Based) Clearance: Active DoD Secret Clearance (or higher) Make an Impact on Military ... Join Rackner to modernize secure data infrastructure for a critical defense health program ...

Data Engineer

$117K - $140K/yr

Data Engineer Position Type: Full-Time, Remote Working Hours: U.S. client business hours (with ... infrastructure and reliable data pipelines that power analytics, reporting, and operational ...

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights ... infrastructure * Build tools for automating repetitive asks so that bandwidth can be freed for ...

Showing results 21-40

Remote Data Infrastructure information

What are the key skills and qualifications needed to thrive as a remote data infrastructure engineer?

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.
More about Remote Data Infrastructure jobs
What cities are hiring for Remote Data Infrastructure jobs? Cities with the most Remote Data Infrastructure job openings:
What are the most commonly searched types of Data Infrastructure jobs? The most popular types of Data Infrastructure jobs are:
What states have the most Remote Data Infrastructure jobs? States with the most job openings for Remote Data Infrastructure jobs include:
Infographic showing various Remote Data Infrastructure job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Architect - Remote

Creative Information Technology, Inc.

Falls Church, VA โ€ข Remote

$65.25 - $84/hr

Contractor

Re-posted 20 days ago


Job description





Data Architect – Remote

About us

Creative Information Technology Inc (CITI) is an esteemed IT enterprise renowned for its exceptional customer service and innovation. We serve both government and commercial sectors, offering a range of solutions such as Healthcare IT, Human Services, Identity Credentialing, Cloud Computing, and Big Data Analytics. With clients in the US and abroad, we hold key contract vehicles including GSA IT Schedule 70, NIH CIO-SP3, GSA Alliant, and DHS-Eagle II.


Join us in driving growth and seizing new business opportunities.

Role and Responsibilities


  • Design the vision and blueprint of an organization’s data framework.
  • Design and manage data systems, set policies for how data is stored and accessed, coordinate various data sources within an organization, and integrate new data technologies into existing IT infrastructures.
  • Data modeling and design, including software development and database administration.

Minimum Qualification

  • Ten (10) plus years professional experience in data ecosystems writing SQL queries, building ETL pipelines, and designing data architecture.
  • Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Management Information Systems, or Information Technology.
  • Prior experience working with public health agencies (e.g., CDC, NIH, or State Departments of Health) to modernize legacy data infrastructures.