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Remote Data Platform Engineer Jobs in Virginia (NOW HIRING)

Meibel

Platform Engineer

Mclean, VA · On-site +1

Manage and integrate various data systems -- including graph, vector, and relational databases ... Flexible, remote-friendly work culture with a strong engineering foundation If you're passionate ...

Anika Systems

Data Engineer

Leesburg, VA · On-site +1

$115K - $139K/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 · Remote

$115K - $139K/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 - $147K/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

$105K - $145K/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

$122K - $147K/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

$122K - $147K/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 ...

Maximus

Cloud Platform Engineer

VA · On-site +1

$56 - $74.75/hr

This is a remote position. Maximus is a trusted federal partner supporting mission-critical ... ensuring data protection, recovery readiness, and compliance with enterprise and federal ...

Maximus

M365 Platform Engineer

VA · On-site +1

General information Job Posting Title M365 Platform Engineer Date Wednesday, June 3, 2026 City Remote Country United States Working time Full-time Description & Requirements Maximus is a trusted ...

Maximus

Mobility Platform Engineer

Springfield, VA · On-site +1

The role is remote. Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS219, T3, Band 6 The Mobility Platform Engineer supports enterprise mobility services by providing ...

Maximus

Mobility Platform Engineer

VA · On-site +1

The role is remote. Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS219, T3, Band 6 The Mobility Platform Engineer supports enterprise mobility services by providing ...

Team Velocity

Senior Data Engineer

Herndon, VA · Remote

$109K - $148K/yr

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers ... Experience working in a remote-first environment. COMPENSATION Compensation commensurate on ...

New

Team Velocity

Senior Data Engineer

Herndon, VA · On-site +1

$109K - $148K/yr

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers ... Experience working in a remote-first environment. COMPENSATION Compensation commensurate on ...

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All JobsRemote Data Platform Engineer JobsRemote Data Platform Engineer Jobs in Virginia

Remote Data Platform Engineer information

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

Data Platform Engineer, AI & Personalization (Remote, East Coast)

P3Hired

Arlington, VA • On-site, Remote

$131K - $158K/yr

Full-time

Posted 21 days ago

Job description

Position Overview
Eagle Eye is an AI driven retail technology SaaS company powering personalized promotions and loyalty programs for leading global brands. In this role, you will sit at the heart of our platform building, optimizing, and supporting data systems that deliver high performance, real time personalization for enterprise clients.
As a Data Solutions Engineer, you will play a key role in deploying, operating, and continuously improving our data-driven platform for our clients.
You will work at the intersection of data engineering, system performance optimization, and client-facing technical operations, ensuring that our AI personalization solution runs reliably in production and delivers measurable value.
You will collaborate closely with Product Managers, Data Science, and Customer Success teams, and regularly interact with client technical teams.
The team "Personalized Challenges" is currently Europe-based and you will be the first North America based member. You will primarily communicate remotely with your direct team members in Europe but will also collaborate with our extensive team in North America who are based in Washington, DC, Toronto, Jacksonville and Chicago. Note that overall, Eagle Eye has a global presence, including North America, EMEA and APAC.
This is a United States based remote role with a preference for Eastern time zone candidates, open to applicants authorized to work without sponsorship.
Responsibilities
This role is intentionally a hybrid of responsibilities:
  • Hands-on Data Engineering - 60%
  • Continuous Optimization of Data-Driven Systems - 30%
  • Client-facing Technical Support & Ticket Resolution - 10%

Success in this role is measured by platform reliability, data quality, system performance, and the long-term resolution of production issues, rather than by volume of support tickets.
Platform Deployment & Data Integration
  • Integrate client data pipelines into our data stack
  • Deploy and configure our platform for new clients
  • Ensure data quality, consistency, and reliability across incoming and outgoing data flows
Production Support & Ticket Management
  • Investigate and resolve technical tickets related to data pipelines, system performance, and algorithm behavior
  • Act as a technical escalation point for Customer Success teams
  • Diagnose root causes, propose fixes, and ensure long-term prevention of recurring issues
Continuous Optimization & Performance Improvement
  • Analyze system and algorithm performance using metrics, logs, and experimentation
  • Identify opportunities to optimize data pipelines, processing logic, and algorithm configurations
  • Collaborate with Product and Data Science teams to prioritize and roll out improvements
  • Design and analyze A/B tests to measure the impact of changes

You Are
  • Disciplined problem-solver who enjoys digging into the "why" of system behavior to find long-term solutions.
  • An autonomous worker, ready to be the first North American member of the team while maintaining effective collaboration with European colleagues.
  • A clear, structured communicator capable of explaining complex technical issues to both engineers and non-technical stakeholders.
  • Rigorous and detail-oriented, especially when monitoring production systems and ensuring data integrity.
  • Comfortable navigating production incidents and support tickets with a calm, engineering-driven approach.
  • Curious and pragmatic, motivated by understanding real-world client use cases and optimizing system performance.
  • Comfortable working fully remotely: even if located near other team members, you will be remote from your direct colleagues based in France. You have proven experience thriving in a fully remote setup and collaborating across cultures.
  • Able to participate in a 1-2 week onboarding in Paris, offering dedicated time for in-person collaboration, learning, and team connection.
You Have
  • 3-5 years of experience as a Data Engineer or Data Solutions Engineer in a production-heavy environment.
  • A bachelors degree in Computer Science, Data Engineering, or a related field.
  • Deep hands-on experience with Python and/or Scala.
  • Proven expertise using Spark for large-scale data processing.
  • Practical experience building and managing data stacks within Google Cloud Platform (GCP) and BigQuery.
  • A solid foundation in data engineering principles, including data pipeline design and system optimization.
  • A working knowledge of Data Science and Machine Learning concepts to help bridge the gap between data flows and algorithm performance.

Department Technology Locations Arlington, VA Client Name Eagle Eye

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