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From Home Data Platform Engineer Jobs in Virginia

Mpr Associates, Inc.

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

... that comes from engineering training. As part of our team, you'll architect and develop ... Cloud Platform Development: Build and deploy data solutions on AWS using services like S3, EC2 ...

Mpr Associates, Inc.

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

... that comes from engineering training. As part of our team, you'll architect and develop ... Cloud Platform Development: Build and deploy data solutions on AWS using services like S3, EC2 ...

Mpr Associates, Inc.

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

... that comes from engineering training. As part of our team, you'll architect and develop ... Cloud Platform Development: Build and deploy data solutions on AWS using services like S3, EC2 ...

GRVTY

Platform Engineer

Chantilly, VA · On-site

We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence ... As a Platform Engineer, you will be responsible for designing, implementing, and maintaining the ...

Interon IT Solutions

MLOps Platform Engineer

Reston, VA · On-site

MLOps Platform Engineer The Data Modeling Analytics & AI Engineering team is seeking an experienced MLOps Platform Engineer to design, build, and support enterprise-grade machine learning operations ...

Interon IT Solutions

MLOps Platform Engineer

Reston, VA · On-site

MLOps Platform Engineer The Data Modeling Analytics & AI Engineering team is seeking an experienced MLOps Platform Engineer to design, build, and support enterprise-grade machine learning operations ...

Adarga

Platform Engineer - US

Herndon, VA · On-site

With a core focus on our multimodal data fusion platform, we combine the value of humans and agents ... You'll receive committed mentoring from an experienced team while making a genuine contribution to ...

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All JobsData Platform Engineer JobsFrom Home Data Platform Engineer JobsFrom Home Data Platform Engineer Jobs in Virginia

From Home Data Platform Engineer information

What is a from home data platform engineer?

From Home Data Platform Engineers are professionals who design, build, and maintain the infrastructure and tools that allow organizations to collect, store, process, and analyze large volumes of data, all while working remotely. They work with cloud platforms, databases, and data pipelines to ensure data is accessible, reliable, and secure for business needs. Their role often involves collaborating with data scientists, analysts, and other engineers to support data-driven decision-making and optimize data workflows from a home office or remote location.

What are the key skills and qualifications needed to thrive as a from home data platform engineer?

To thrive as a From Home Data Platform Engineer, you need a strong background in computer science, data architecture, and cloud platforms, often supported by a relevant degree and experience with large-scale data systems. Proficiency with technologies like SQL, Python, Spark, Hadoop, and cloud services such as AWS, Azure, or GCP, along with certifications like AWS Certified Data Analytics or Google Professional Data Engineer, is typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in a distributed work environment. These skills ensure reliable, scalable data infrastructure and seamless collaboration, which are critical to supporting business analytics and decision-making remotely.

What are some common challenges faced by a from home data platform engineer, and how can they be addressed?

As a From Home Data Platform Engineer, you may encounter challenges such as managing complex data pipelines remotely, ensuring data security, and maintaining effective communication with cross-functional teams. To address these, it’s important to utilize robust version control systems, follow best practices for data governance, and leverage collaboration tools like Slack or Jira for regular updates and troubleshooting. Additionally, setting up secure remote access and automated monitoring can help maintain the integrity and performance of data platforms while working from home.

What is the difference between From Home Data Platform Engineer vs From Home Data Analyst?

AspectFrom Home Data Platform EngineerFrom Home Data Analyst
Primary RoleDesigning, building, and maintaining data infrastructure and platformsAnalyzing data to generate insights and reports
Skills & CertificationsData engineering, SQL, cloud platforms, programming (Python, Java)Data analysis, SQL, visualization tools, statistical knowledge
Work EnvironmentCollaborates with data engineers, software developers, often in cloud environmentsWorks with business teams, data visualization tools, and reporting platforms
Industry UsageTech, finance, healthcare, where data infrastructure is criticalMarketing, sales, finance, and other sectors focusing on data insights

In summary, From Home Data Platform Engineers focus on building and maintaining the data infrastructure, while From Home Data Analysts interpret data to support business decisions. Both roles require strong SQL skills but differ in technical depth and focus areas.

What are the most commonly searched types of Data Platform Engineer jobs in Virginia?

The most popular types of Data Platform Engineer jobs in Virginia are:

What cities in Virginia are hiring for From Home Data Platform Engineer jobs?

Cities in Virginia with the most From Home Data Platform Engineer job openings:

From Home Data Platform Engineer jobs near you
Infographic showing various From Home Data Platform Engineer job openings in Virginia as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Hybrid job distribution.

Data Platform Engineer

Bright Vision Technologies

Reston, VA • On-site

$100 - $150/hr

Other

Posted yesterday

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Job description

Data Platform 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: Data Platform 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 a Data Platform Engineer to design, build, and operate high-performance, highly reliable inference platforms for serving large machine learning models in production. The role focuses on the systems engineering side of AI deployment, including request routing, batching, caching, autoscaling, GPU utilization, and end-to-end observability across diverse model workloads. The ideal candidate brings strong distributed systems and performance engineering expertise, has shipped serving systems at scale, and understands the trade-offs between latency, throughput, cost, and quality in ML serving.

Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • Six or more years of experience in distributed systems, infrastructure, or ML platform engineering.
  • Strong proficiency in Python and a systems language such as Go, Rust, or C++.
  • Deep experience operating high-throughput, low-latency services in production.
  • Hands-on experience with LLM or large model inference frameworks such as vLLM or TensorRT-LLM.
  • Strong understanding of GPU architecture, memory hierarchies, and accelerator utilization.
  • Familiarity with Kubernetes, autoscaling, and modern cloud platforms.
  • Experience with observability stacks including metrics, tracing, and structured logging.
  • Solid grounding in performance engineering and capacity planning.
  • Strong communication and incident response skills.
Preferred Qualifications
  • Open-source contributions to model serving infrastructure.
  • Experience with multi-region or globally distributed AI serving.
  • Familiarity with model quantization, distillation, and compression techniques.
  • Exposure to FinOps for AI workloads and cost-efficient serving design.
  • Experience supporting external-facing AI APIs at scale.

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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