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Remote Data Platform Engineer Jobs in Reston, VA

Anika Systems

Data Engineer

Leesburg, VA · Remote

$117.20K - $140.70K/yr

This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines ... Cloud Data Platforms & Iceberg Architecture * Develop and manage data solutions leveraging AWS ...

Anika Systems

Data Engineer

Leesburg, VA · On-site +1

$115.80K - $139.10K/yr

This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines ... Cloud Data Platforms & Iceberg Architecture * Develop and manage data solutions leveraging AWS ...

Pondurance

Senior Platform Engineer

Mclean, VA · Remote

$107K - $146.90K/yr

... REMOTE About the Role: As a Senior Platform Engineer, you will play a key role in supporting and enhancing our AI-driven backend systems while delivering and maintaining our core MDR data pipeline.

Pondurance

Senior Platform Engineer

Mclean, VA · On-site +1

$105.60K - $145.10K/yr

... REMOTE About the Role: As a Senior Platform Engineer, you will play a key role in supporting and enhancing our AI-driven backend systems while delivering and maintaining our core MDR data pipeline.

Info Gain Consulting

Data Engineer

Alexandria, VA · Remote

$122.60K - $147.20K/yr

Proficiency in Cloudera Data Platform or similar big data technologies. * Strong programming skills ... Ability to work independently and collaboratively in a remote team environment. Preferred ...

Info Gain Consulting

Data Engineer

Alexandria, VA · On-site +1

$122.60K - $147.20K/yr

Proficiency in Cloudera Data Platform or similar big data technologies. * Strong programming skills ... Ability to work independently and collaboratively in a remote team environment. Preferred ...

ATPCO

Platform Engineer Intern - Hybrid

Herndon, VA · On-site +1

Every day, the travel industry relies on ATPCO's technology and data solutions to help millions of ... Remote-First Culture - Flexibility to work from home in your country of hire​ ✅ Inclusive ...

ATPCO

Platform Engineer Intern - Hybrid

Herndon, VA · On-site +1

Every day, the travel industry relies on ATPCO's technology and data solutions to help millions of ... Remote-First Culture - Flexibility to work from home in your country of hire Inclusive ...

SAIC

CDAO War Data Platform (WDP)

Arlington, VA · On-site +1

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking qualified ... Data Engineering & Pipeline Development * Cloud Architecture & Systems Integration * Software ...

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Remote Data Platform Engineer information

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$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.

Mid-Level Data Platform Engineer (Python) - Palantir Foundry / with Security Clearance

Potawatomi Federal Solutions, LLC.

Washington, DC • Remote

$129.20K - $155.10K/yr

Other

Posted 13 days ago

Job description

Position Title: Mid-Level Data Platform Engineer (Python) - Palantir Foundry / Jupiter Platform Support Location: National Capital Region (Remote Eligible) Job Type: Full Time Level: Mid-Level Analyst Clearance: Secret Job Summary The Mid-Level Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupiter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications.

Key Responsibilities Data Pipeline Development: * Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupiter platform. * Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets. * Implement transformation logic to prepare raw datasets for curated data layers and ontology population.

Data Platform Operations: * Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring. * Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability. * Maintain dataset lineage awareness and support platform data integrity practices.

Data Integration and Support: * Assist with integrating enterprise system data into the platform environment. * Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly. * Document pipelines and transformation logic to support maintainability of the platform.

Qualifications Education: * Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field, or equivalent experience. Experience: * 4-7 years experience in data engineering or platform engineering roles. * Experience developing Python-based data pipelines * Experience building ETL/ELT pipelines and data transformation workflows * Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments * Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred Skills: * Strong Python development skills for data processing and pipeline development * Experience with SQL and data transformation frameworks * Familiarity with distributed data platforms and large-scale data environments * Strong troubleshooting and problem-solving skills in data pipeline operations * Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders Career Level Alignment: * Mid-Level Engineer: 4-7 years supporting data platform engineering, pipeline development, and enterprise data integration initiatives.

#ClearanceJobs Redhawk Administrative Services, LLC is an equal opportunity employer. Redhawk Administrative Services, LLC does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, disability, marital status or any other characteristic protected by law.

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