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Remote Data Infrastructure Jobs in Washington (NOW HIRING)

Bright Vision Technologies

ML Data Engineer

Herndon, VA · Remote

$100K - $150K/yr

ML Data Engineer - Remote Bright Vision Technologies is a technology consulting and software ... Stay current with AI data infrastructure research and emerging open-source tools. Required ...

Rackner

Data Engineer (DoD Secret | Remote)

Washington, DC · 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 ...

Nüvitek

Data Architect

Arlington, VA · On-site +1

$145K - $165K/yr

Remote Compensation: $145,000 - $165,000 / year Description At Nüvitek, customer success is our ... analysis, evaluation, infrastructure, efficiency, migration, and overarching strategy.

INflow Federal

Data Engineer

Arlington, VA · Remote

$131K - $158K/yr

... analytics infrastructure supporting enterprise systems within a Department of Defense (DoD ... This is a fully remote position. Here, your work is more than a job - it's a journey in innovation.

INflow Federal

Data Engineer

Arlington, VA · Remote

$80K - $105K/yr

... analytics infrastructure supporting enterprise systems within a Department of Defense (DoD ... This is a fully remote position. Here, your work is more than a job - it's a journey in innovation.

INflow Federal

Data Engineer

Arlington, VA · On-site +1

$131K - $158K/yr

... analytics infrastructure supporting enterprise systems within a Department of Defense (DoD ... This is a fully remote position. Here, your work is more than a job - it's a journey in innovation.

Ennoble Care

Director of Data Engineering

Arlington, VA · Remote

$131K - $158K/yr

Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health ... Strengthen and expand our analytics data warehouse infrastructure * Apply AI-augmented engineering ...

Addison Group

Senior Data Analyst

Washington, DC · Remote

$135K - $150K/yr

Remote Job Type: Full-Time | Exempt Salary: $135,000 - $150,000 / Year Benefits: This position is ... infrastructure systems. * Works with clinical and operations teams to identify clinical health ...

Addison Group

Senior Data Analyst

Washington, DC · Remote

$135K - $150K/yr

Remote Job Type: Full-Time | Exempt Salary: $135,000 - $150,000 / Year Benefits: This position is ... infrastructure systems. * Works with clinical and operations teams to identify clinical health ...

TechFlow, Inc.

Senior Solutions Architect

Arlington, VA · On-site +1

$15K - $165K/yr

... infrastructure that enables the convergence of technologies supporting the TSA mission and ... remote data collection points. * Develop and document architecture strategies and technology ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0239091 Location: Chantilly,VA,US Share job via: Share Data Engineer ... infrastructure that powers analytics, reporting, and mission-critical decision-making.

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

... of a data infrastructure and insightful analytics. Requirements What we are looking for: * Core ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

ConnectPrep

Data Analyst Internship

Washington, DC · Remote

... of a data infrastructure and insightful analytics. Requirements What we are looking for: * Core ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

Ad Hoc

Evergreen: Senior AI Platform & Data Engineer

Mclean, VA · Remote

$107K - $145K/yr

AI Platform & Data Engineer This is a remote position. Ad Hoc is a technology company that empowers ... Builds data infrastructure, pipelines, systems, and tools with a little feedback and guidance from ...

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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 are the most commonly searched types of Data Infrastructure jobs in Washington? The most popular types of Data Infrastructure jobs in Washington are:
What are popular job titles related to Remote Data Infrastructure jobs in Washington? For Remote Data Infrastructure jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Data Infrastructure jobs in Washington look for? The top searched job categories for Remote Data Infrastructure jobs in Washington are:
What cities in Washington are hiring for Remote Data Infrastructure jobs? Cities in Washington with the most Remote Data Infrastructure job openings:
Remote Data Infrastructure jobs near you

ML Data Engineer

Bright Vision Technologies

Herndon, VA • Remote

$100K - $150K/yr

Full-time

Posted 4 days ago

Job description

ML Data Engineer – Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. 
 
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
Job Title: ML Data Engineer
Location: 100% Remote (United States)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
Job Summary
We are seeking an ML Data Engineer  to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency.
Key Responsibilities
  • Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows.
  • Build ingestion systems for diverse modalities including text, image, audio, video, and structured signals.
  • Implement data cleaning, deduplication, filtering, and quality assurance at petabyte scale.
  • Develop dataset versioning, lineage, and provenance tracking systems suitable for reproducible training.
  • Build high-throughput data loading systems that maximize GPU utilization during training.
  • Implement labeling workflows, active learning pipelines, and human-in-the-loop data improvement systems.
  • Design storage architectures balancing cost, throughput, and latency across data tiers.
  • Build evaluation dataset construction pipelines with strict integrity and contamination controls.
  • Implement data privacy, redaction, and consent enforcement throughout the pipeline.
  • Collaborate with ML researchers and engineers to align data systems with model development needs.
  • Drive observability of data quality, drift, and pipeline health across the AI data estate.
  • Optimize cost and performance through compression, format selection, and caching strategies.
  • Document data systems, schemas, and operational procedures for broad internal use.
  • Stay current with AI data infrastructure research and emerging open-source tools.
Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • Six or more years of data engineering experience, with significant work supporting ML or AI workloads.
  • Strong proficiency in Python and at least one JVM or systems language.
  • Deep experience with modern data processing frameworks such as Spark, Ray, or Beam.
  • Hands-on experience operating petabyte-scale storage and pipeline systems.
  • Strong understanding of distributed systems, data modeling, and storage formats.
  • Experience with dataset versioning, lineage, and reproducibility for ML workflows.
  • Familiarity with high-throughput data loading for accelerator-based training.
  • Strong software engineering practices including testing, CI/CD, and code review.
  • Excellent communication and cross-functional collaboration skills.
Preferred Qualifications
  • Experience with multimodal datasets at large scale.
  • Familiarity with data quality tooling and dataset evaluation methodology.
  • Exposure to privacy-preserving data systems and regulated data handling.
  • Open-source contributions to data infrastructure projects.
  • Experience supporting frontier model training pipelines.
How to Apply
 Would you like to know more about this opportunity? For immediate consideration, please send your resume to boon@bvteck.com or contact us at (908) 650-6699. Learn more about Bright Vision Technologies at www.bvteck.com. 
 
Bright Vision Technologies is an Equal Opportunity Employer. 

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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