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Remote Data Platform Engineer Jobs in Reston, VA

The Data Platform Engineer (Azure) is responsible for building, automating, and operating the infrastructure that supports the organization's enterprise data platform. This role ensures data ...

New

Focus on engineering, building, and maintaining shared platform capabilities, data pipelines ... data pipelines and devise techniques for resolving or mitigating them. * Ability to support remote ...

Focus on engineering, building, and maintaining shared platform capabilities, data pipelines ... data pipelines and devise techniques for resolving or mitigating them. * Ability to support remote ...

Platform Engineer

Mclean, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0242482 Location: McLean,VA,US Share job via: Share Platform Engineer The Opportunity: As a Platform Engineer, you'll help build and operate the foundational ...

The SaaS Platform Developer will be responsible for technical analysis, design, development, and testing of data connections, universes, and dashboards/reports within a cloud-based SaaS platform ...

We specialize in creating advanced AI solutions that turn complex data into actionable insights ... The Senior Platform Engineer is a senior technical leader responsible for designing, implementing ...

... platform (APEX). The DevOps Engineer will work with the AI and Application Development team to ... Administer and optimize AWS data services including DocumentDB, OpenSearch, Redis, Aurora Postgres ...

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Showing results 1-20

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 Aug 22, 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 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 key skills and qualifications needed to thrive as a remote data platform engineer?

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 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 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:

Infographic showing various Remote Data Platform Engineer job openings in Reston, VA as of July 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% Remote job distribution, with an average salary of $134,951 per year, or $64.9 per hour.

Data Platform Engineer (Azure)

Five Guys

Alexandria, VA • Remote

$120K - $125K/hr

Full-time

Posted 2 days ago

New


Five Guys rating

6.3

Company rating: 6.3 out of 10

Based on 388 frontline employees who took The Breakroom Quiz

15th of 106 rated fast food restaurants


Job description

The Data Platform Engineer (Azure) is responsible for building, automating, and operating the infrastructure that supports the organization's enterprise data platform. This role ensures data pipelines, cloud environments, and platform services are reliable, scalable, secure, and observable across Microsoft Azure.

The position focuses on Infrastructure as Code (IaC), DevOps, CI/CD automation, cloud operations, platform governance, FinOps, security, and Site Reliability Engineering (SRE) practices. The Data Platform Engineer partners closely with Data Engineering, IT Infrastructure, Cybersecurity, and Business stakeholders to deliver a stable and high-performing data platform that supports analytics, reporting, and enterprise data initiatives.

Essential Duties & ResponsibilitiesCloud Infrastructure & Platform Engineering
  • Design, implement, and maintain Infrastructure as Code (IaC) for Azure-based data environments using Terraform, Bicep, and/or ARM Templates.
  • Build and support highly available, scalable, and secure Azure cloud environments.
  • Configure and maintain Azure networking components including:
    • Virtual Networks (VNETs)
    • Private Endpoints
    • Network Security Groups
    • Access Security Policies
CI/CD & Automation
  • Build and maintain CI/CD pipelines using Azure DevOps and/or GitHub Actions.
  • Automate deployment of:
    • Azure Data Factory
    • Databricks Notebooks
    • Data Pipelines
    • Infrastructure Components
    • Platform Services
  • Establish deployment standards and environment promotion processes across Development, QA, and Production environments.
  • Manage source control, versioning, branching strategies, and release processes.
Databricks Administration
  • Administer and govern Databricks workspaces.
  • Manage:
    • Cluster Provisioning
    • Cluster Policies
    • Cost Controls
    • Unity Catalog
    • Access Controls
    • Identity Management
  • Support data engineering teams by maintaining a reliable Databricks platform environment.
Data Storage & Platform Governance
  • Manage Azure Data Lake Storage Gen2 environments.
  • Configure:
    • Access Control Lists (ACLs)
    • Lifecycle Management Policies
    • Encryption Standards
    • Storage Optimization Policies
  • Ensure compliance with data governance and security requirements.
Monitoring, Reliability & Operations
  • Implement observability and monitoring strategies using:
    • Azure Monitor
    • Log Analytics
    • Alerting Tools
    • Operational Dashboards
  • Monitor platform performance and reliability.
  • Troubleshoot:
    • Infrastructure Failures
    • Performance Bottlenecks
    • Platform Incidents
    • Cloud Service Issues
  • Participate in incident response and root cause analysis activities.
Security & Compliance
  • Automate secrets and credential management using Azure Key Vault.
  • Support identity and access management initiatives.
  • Partner with Information Security teams to maintain compliance with governance and security standards.
  • Implement secure deployment and infrastructure management practices.
Cost Management & Optimization (FinOps)
  • Monitor Azure and Databricks cloud consumption costs.
  • Analyze usage trends and identify optimization opportunities.
  • Recommend cost-saving initiatives while maintaining platform performance and reliability.
Documentation & Operational Excellence
  • Document:
    • Infrastructure Architecture
    • Operational Procedures
    • Runbooks
    • Incident Response Processes
    • Platform Standards
  • Establish best practices for platform reliability and operational support.
QualificationsEducation
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field required.
Experience
  • 5+ years of experience in:

    • DevOps
    • Platform Engineering
    • Site Reliability Engineering (SRE)
    • Cloud Infrastructure
    • Related technical disciplines
  • 3-5+ years of hands-on experience with:

    • Microsoft Azure
    • Databricks
    • Azure Data Services
    • Cloud Infrastructure Management
Preferred Experience
  • Enterprise data platform environments.
  • Financial, Operations, or Digital data ecosystems.
  • Retail, restaurant, or multi-unit organizations.
  • Large-scale cloud-based analytics platforms.
Technical SkillsRequired
  • Microsoft Azure
  • Azure Data Factory
  • Azure Data Lake Storage Gen2
  • Azure Key Vault
  • Azure Monitor
  • Log Analytics
  • Azure Functions
  • Logic Apps
  • Databricks
  • Terraform
  • Bicep / ARM Templates
  • Azure DevOps
  • GitHub Actions
  • Git Source Control
  • CI/CD Pipeline Development
  • Python and/or PowerShell
  • Cloud Networking
  • Cloud Security Concepts
  • Infrastructure as Code (IaC)
Preferred
  • Unity Catalog
  • Docker
  • Kubernetes / AKS
  • GitOps
  • Observability Platforms
  • FinOps Practices
  • Secure Credential Management
  • Branching & Environment Management Strategies
  • Power BI Infrastructure Support
  • Power BI Gateways
  • Power BI Service Administration
Certifications (Preferred)
  • Microsoft Azure Fundamentals (AZ-900)
  • Microsoft Azure Administrator Associate (AZ-104)
  • Azure Data Engineer Associate (DP-203)
  • Azure DevOps Engineer Expert (AZ-400)
  • Databricks Certified Data Engineer Associate
  • Databricks Certified Data Engineer Professional

What Five Guys employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Five Guys logo

About Five Guys

Sourced by ZipRecruiter

Five Guys Burgers and Fries started with humble beginnings 25 years ago in Northern Virginia. With the exception of opening over 1,000 additional restaurants, we have not changed much. We are a family led company that has a very clear vision of what we do. We serve outstanding, fresh burgers and fries in extremely clean restaurants with great customer focused service. You'll love our dynamic team environment and being recognized for your contributions to your team's success. Plus, you'll be amazed at how quickly your career will grow!

Industry

Food services and drinking places and traveler accommodation

Company size

1,001 - 5,000 Employees

Headquarters location

Lorton, VA, US