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Remote Data Platform Engineer Jobs in Reston, VA

Deckers

Director, Platform Architecture

Washington, DC · Remote

Chief Digital & Data Officer Location: United States (Remote) Interested applicants must reside in ... Collaborating with data architects, platform and DevOps engineering teams, product leaders, and ...

Network Designs

Cloud/Platform Engineer #1768466

Washington, DC · On-site +1

$63.25 - $84.50/hr

We are seeking a Cloud/Platform Engineer to support enterprise cloud and platform initiatives for ... This position is primarily remote; however, must be able to come on-site in Washington, DC, as ...

Booz Allen Hamilton, Inc.

Data Engineer

Mclean, VA · On-site +1

$77.60K - $176K/yr

Remote Work: Yes Job Number: R0239684 Location: McLean,VA,US Share job via: Share Data Engineer The ... As a Data Engineer, you'll help build and scale a cloud-native data platform that enables mission ...

Deckers

Platform Engineering Lead

Washington, DC · Remote

$116.10K - $152.90K/yr

Platform Engineering Lead Reports to: Sr. Manager, Data Platform Engineering and Ops Location: United States (Remote) Interested applicants must reside in one of the following approved states:

Harmonia Holdings Group, LLC.

Data Engineer

Mclean, VA · Remote

$117.50K - $141.10K/yr

Data Engineer - Cyber Risk & Security Data Platforms Location: Remote Terms: Full-time Travel: 0% Project Description This position supports Revolutional's customer, the Department of Veterans ...

Revolutional, LLC

Data Engineer

Mclean, VA · Remote

$115.70K - $139K/yr

Data Engineer - Cyber Risk & Security Data Platforms Location: Remote Terms: Full-time Clearance: Qualified candidates must be US citizens and have the ability to obtain and maintain a Public Trust ...

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Remote Data Platform Engineer information

See Reston, VA salary details

$46.3K

$135K

$184.7K

How much do remote data platform engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for remote data platform engineer in Reston, VA is $134,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a Remote Data Platform Engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

What is a Remote Data Platform Engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.

What is the difference between Remote Data Platform Engineer vs Data Engineer?

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

What are the most commonly searched types of Data Platform Engineer jobs in Reston, VA? The most popular types of Data Platform Engineer jobs in Reston, VA are:
What are popular job titles related to Remote Data Platform Engineer jobs in Reston, VA? For Remote Data Platform Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote Data Platform Engineer jobs in Reston, VA look for? The top searched job categories for Remote Data Platform Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Data Platform Engineer jobs? Cities near Reston, VA with the most Remote Data Platform Engineer job openings:
Remote Data Platform Engineer jobs near you
Infographic showing various Remote Data Platform Engineer job openings in Reston, VA as of May 2026, with employment types broken down into 1% Internship, 73% Full Time, 15% Part Time, 10% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $134,951 per year, or $64.9 per hour.
AI Agent Platform Engineer (Remote)

AI Agent Platform Engineer (Remote)

Outlier AI

Washington, DC • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

About the Project

Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw?

We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows.

Whether you are a passionate orchestration guru or experienced software developer — we want you to help us train the world's most advanced generative systems.

Ideal Qualifications

  • 2+ years of experience in backend engineering, AI automation, or complex systems integration.
  • Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting).
  • Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases.
  • Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
  • Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.

Nice to have

  • Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
  • Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.
  • High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress.
  • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.

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