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Remote Data Platform Engineer Jobs in Virginia (NOW HIRING)

Remote within the United States Terms: Full-time Clearance: U.S. Citizenship required and ability ... Data Engineers and platform teams to ensure content and data are structured, accessible, and ...

Lead Platform Engineer

Richmond, VA · On-site +1

$101K - $133K/yr

... data protection to meet rigorous compliance standards. What You'll Do: * Deployment, management and maintenance of virtualization platform Amazon Workspaces in Amazon Web Services (AWS) * Escalate ...

Senior Platform Engineer

Stafford, VA · Remote

$104K - $143K/yr

LATG is seeking an experienced Senior Platform Engineer to support enterprise Azure cloud ... remote within the United States. Preference may be given to candidates located near the Washington ...

Lead Data Engineer

Richmond, VA · On-site +1

$101K - $133K/yr

POSITION TITLE Lead Data Engineer POSITION LOCATION This position is available to remote applicants ... Partner with platform teams to enhance observability and operational tooling. Collaboration & Cross ...

Lead Data Engineer

Richmond, VA · On-site +1

$101K - $133K/yr

POSITION TITLE Lead Data Engineer POSITION LOCATION This position is available to remote applicants ... Partner with platform teams to enhance observability and operational tooling. Collaboration & Cross ...

Drive platform engineering decisions including storage optimization, cluster sizing, compute ... Mentor Data Engineers, Data Architects, and cross-functional technical staff, strengthening ...

Drive platform engineering decisions including storage optimization, cluster sizing, compute ... Mentor Data Engineers, Data Architects, and cross-functional technical staff, strengthening ...

Drive platform engineering decisions including storage optimization, cluster sizing, compute ... Mentor Data Engineers, Data Architects, and cross-functional technical staff, strengthening ...

Staff Data Engineer

Arlington, VA · Remote

$185K - $220K/yr

About Shift5 Shift5 is building the data platform for onboard operational technology (OT). We ... Flexible work & remote work policy  * Tax-deferred public transit benefits with Metro ...

$185K - $220K/yr

About Shift5 Shift5 is building the data platform for onboard operational technology (OT). We ... Flexible work & remote work policy * Tax-deferred public transit benefits with Metro SmartBenefits ...

Data Engineer

Fairfax, VA · On-site +1

$130K - $135K/yr

Take ownership of platform reliability and performance, proactively identifying optimization ... Proficiency in Python for data engineering tasks at scale. * Deep expertise with Databricks ...

Architecting ML/AI-ready environments and real-time * analytics platforms. * DevOps & Platform ... data strategy and embed policy-driven governance * controls into architecture designs. * Startup ...

Architecting ML/AI-ready environments and real-time * analytics platforms. * DevOps & Platform ... data strategy and embed policy-driven governance * controls into architecture designs. * Startup ...

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Showing results 1-20

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:
Low Code AI Engineer

Low Code AI Engineer

RIVA Solutions Inc.

Reston, VA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Job description

Title: Low Code AI Engineer 
Location: Remote within the United States 
Terms: Full-time 
Clearance: U.S. Citizenship required and ability to obtain and maintain a Federal Public 
Trust investigation 
Travel: 0–10% 

RESULTS. INNOVATION. VALUES. ACCOUNTABILITY. 
That’s RIVA. 

We’re a mission-driven IT services company and systems integrator supporting digital transformation and modernization for Federal government agencies. Since 2009, we’ve partnered with our customers to solve complex challenges through smart, practical innovation to deliver real outcomes where they matter most. Our teams are made up of industry-leading experts who are passionate about doing great work and making a difference. We don’t just develop solutions—we support efforts that strengthen communities and serve the public good.

RIVA’s culture is built on four core values: Results, Innovation, Values, and Accountability. They guide how we work, how we collaborate, and how we measure success. Our employee-first approach is rooted in trust, ownership, and meaningful work. By investing in our people and fostering a flexible, supportive environment, you will have the opportunity to grow your skills, contribute ideas, and make an impact from day one—all while supporting missions that matter.



Program Overview 
RIVA Solutions supports the U.S. Department of Commerce (DOC), International Trade 
Administration (ITA), in establishing and operating an AI Center of Excellence (AI-CoE) 
under the Office of the Chief Information Officer (OCIO). This program advances IT 
modernization by designing, developing, deploying, and maintaining artificial intelligence 
and machine learning solutions that strengthen mission outcomes across the Commerce 
enterprise. 

The AI-CoE provides AI application development, model lifecycle management, data 
engineering, security support, quality assurance, and Agile delivery services that enable 
DOC to mature toward higher levels of operational and technological excellence. RIVA’s 
work ensures that AI tools and systems are reliable, scalable, secure, and aligned with 
federal cloud and data strategies. 

Position Overview 
RIVA Solutions is seeking a Low Code AI Engineer to support the delivery and 
operationalization of AI-enabled solutions using low-code platforms—primarily Microsoft 
Power Platform and Copilot Studio—within the AI Center of Excellence. This role focuses 
on enabling, deploying, integrating, and monitoring AI experiences in Microsoft’s 
specialized government cloud environment (Government Cloud Computing/Government 
Community Cloud), designed to meet the compliance and security needs of Federal, State, 
Local, and Tribal governments. Emphasis is placed on configuration-first development, 
CI/CD, data/content ingestion pipelines, and ongoing operations to ensure reliable 
production performance. 

This position partners closely with technical teams and federal stakeholders to implement 
scalable low-code solutions, establish repeatable delivery patterns, and support the 
knowledge/content lifecycle that powers AI experiences (e.g., ingestion, validation, refresh, 
governance, and monitoring). Traditional, heavy machine learning model development is 
not a primary expectation for this role, though limited support may be required as future 
mission use cases evolve. 
U.S. Citizenship is required, along with the ability to obtain and maintain a federal Public 
Trust investigation. This position is fully remote within the United States. 

Core Responsibilities 
• Enable and deliver low-code AI solutions using Microsoft Power Platform and 
Copilot Studio to support enterprise mission needs. 
• Configure, integrate, and operationalize AI experiences, including connectors, 
workflows, approvals, and automation patterns that support secure enterprise 
adoption. 
• Support cloud delivery within Microsoft’s specialized government cloud 
environment (Government Cloud Computing/Government Community Cloud), 
ensuring solutions align with federal security, compliance, and governance 
requirements. 
• Implement and maintain CI/CD processes for Power Platform/Copilot solutions 
(solution packaging, environment promotions, release management, and 
deployment automation). 
• Build and support data/content ingestion pipelines that prepare and maintain 
knowledge sources for AI experiences (knowledge lifecycle management, 
validation, refresh schedules, and quality checks). 
• Deploy, monitor, and optimize low-code AI solutions in production, including 
telemetry, alerting, performance monitoring, and incident response support. 
• Partner with Data Engineers and platform teams to ensure content and data are 
structured, accessible, and maintained for AI-enabled experiences (without 
requiring heavy feature engineering or predictive modeling). 
• Use Python or lightweight scripting only as needed for function calls, integration 
edge cases, automation gaps, or specialized operational support. 
• Document platform configurations, release procedures, operational runbooks, 
integration patterns, and technical implementation details. 
• Collaborate with AI Developers, Data Engineers, Scrum Masters, and federal 
stakeholders in Agile/Scrum environments. 
• Stay informed on emerging low-code AI capabilities (Power Platform, Copilot Studio, 
governance, and federal cloud guidance) to improve solution quality and 
maintainability. 

Minimum Qualifications 
• Bachelor’s degree or equivalent professional experience. 
• Minimum 2 years of experience delivering low-code solutions, platform 
enablement, automation, or related engineering work (Power Platform/Copilot 
Studio strongly preferred). 
• Experience configuring, deploying, and supporting solutions across multiple 
environments (dev/test/prod), including release and change management practices. 
• Experience with CI/CD concepts and implementation for low-code or platform
based solutions (packaging, deployments, environment strategy, and operational 
monitoring). 
• Experience supporting data/content ingestion, integration, or lifecycle processes 
that enable AI experiences (knowledge management, data preparation workflows, or 
content operations). 
• Strong analytical and problem-solving skills with a delivery-and-operations mindset. 
• U.S. Citizenship required. 
• Ability to obtain and maintain a Federal Public Trust investigation. 

Preferred Qualifications 
• Experience supporting federal government or public-sector technology programs, 
including regulated cloud environments. 
• Hands-on experience with Microsoft Power Platform administration and governance 
(DLP policies, environment strategy, ALM practices, Center of Excellence patterns). 
• Experience with Copilot Studio (bot/agent configuration, integrations/connectors, 
publishing, telemetry/monitoring). 
• Exposure to lightweight scripting (e.g., Python) for integrations, function calling, or 
operational edge needs. 
• Experience with monitoring/observability practices (logging, metrics, alerting, 
dashboards) and operational support for production services. 
• Familiarity with cloud-native services and secure delivery practices within Azure 
ecosystems. 
• Certifications in Power Platform, cloud engineering, or related fields are a plus. 

Salary 
$120K 

RIVA Benefits 
• Paid Time Off / Sick Leave 
• Health, Dental, and Vision Coverage 
• Life Insurance 
• Retirement Benefits / 401K with company matching 
• HSA/FSA Spending Accounts 
• Long- and Short-term Disability 
• Pet Insurance 
• Wellness Program Initiatives 
• RIVA Flex 
• Additional Workplace Benefits 

Equal Opportunity Statement 
RIVA Solutions is an Equal Opportunity/Affirmative Action employer. All qualified 
applicants will receive consideration for employment without regard to race, color, religion, 
sex, sexual orientation, gender identity, national origin, disability, veteran status, or any 
protected class. If you need a reasonable accommodation to search for a job opening or to 
submit an online application, please email accommodations@rivasolutionsinc.com. Only 
messages left for this purpose will be returned.