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From Home Data Platform Engineer Jobs in Virginia

Platform Engineer - US

Herndon, VA · On-site

$120 - $190/hr

With a core focus on our multimodal data fusion platform, we combine the value of humans and agents ... You'll receive committed mentoring from an experienced team while making a genuine contribution to ...

New

We are seeking a Platform Engineer to design, implement, and maintain the infrastructure that ... If you would like more information about how your data is processed, please contact us.

Platform Engineer

Hampton, VA · On-site

$75K - $158K/yr

The Platform Engineer will be designing, implementing, and supporting enterprise Cross Domain Solution (CDS) platforms that enable secure data sharing between classified and unclassified environments.

Data Platform Architect

Falls Church, VA · On-site

$68 - $87.50/hr

The Data Platform Architect will work across engineering, data science, analytics, platform, and ... from prototypes into reliable production environments. Clearance: Secret/Top Secret clearance ...

New

Data Platform Architect

Falls Church, VA

$68 - $87.50/hr

The Data Platform Architect will work across engineering, data science, analytics, platform, and ... from prototypes into reliable production environments. Clearance: Secret/Top Secret clearance ...

New

What Impact You'll Have As a Platform Engineer, you will be responsible for designing, implementing, and maintaining the infrastructure that supports the organization's applications and services.

Platform Engineer

Chantilly, VA · On-site

$150K - $200K/yr

What Impact You'll Have As a Platform Engineer, you will be responsible for designing, implementing, and maintaining the infrastructure that supports the organization's applications and services.

Data Engineering & Architecture Consulting Travel Required: None Clearance Required: Active Secret ... Correspondence received by an applicant from any other domain should be considered unauthorized and ...

Showing results 21-40

From Home Data Platform Engineer information

What is a from home data platform engineer?

From Home Data Platform Engineers are professionals who design, build, and maintain the infrastructure and tools that allow organizations to collect, store, process, and analyze large volumes of data, all while working remotely. They work with cloud platforms, databases, and data pipelines to ensure data is accessible, reliable, and secure for business needs. Their role often involves collaborating with data scientists, analysts, and other engineers to support data-driven decision-making and optimize data workflows from a home office or remote location.

What are the key skills and qualifications needed to thrive as a from home data platform engineer?

To thrive as a From Home Data Platform Engineer, you need a strong background in computer science, data architecture, and cloud platforms, often supported by a relevant degree and experience with large-scale data systems. Proficiency with technologies like SQL, Python, Spark, Hadoop, and cloud services such as AWS, Azure, or GCP, along with certifications like AWS Certified Data Analytics or Google Professional Data Engineer, is typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in a distributed work environment. These skills ensure reliable, scalable data infrastructure and seamless collaboration, which are critical to supporting business analytics and decision-making remotely.

What are some common challenges faced by a from home data platform engineer, and how can they be addressed?

As a From Home Data Platform Engineer, you may encounter challenges such as managing complex data pipelines remotely, ensuring data security, and maintaining effective communication with cross-functional teams. To address these, it’s important to utilize robust version control systems, follow best practices for data governance, and leverage collaboration tools like Slack or Jira for regular updates and troubleshooting. Additionally, setting up secure remote access and automated monitoring can help maintain the integrity and performance of data platforms while working from home.

What is the difference between From Home Data Platform Engineer vs From Home Data Analyst?

AspectFrom Home Data Platform EngineerFrom Home Data Analyst
Primary RoleDesigning, building, and maintaining data infrastructure and platformsAnalyzing data to generate insights and reports
Skills & CertificationsData engineering, SQL, cloud platforms, programming (Python, Java)Data analysis, SQL, visualization tools, statistical knowledge
Work EnvironmentCollaborates with data engineers, software developers, often in cloud environmentsWorks with business teams, data visualization tools, and reporting platforms
Industry UsageTech, finance, healthcare, where data infrastructure is criticalMarketing, sales, finance, and other sectors focusing on data insights

In summary, From Home Data Platform Engineers focus on building and maintaining the data infrastructure, while From Home Data Analysts interpret data to support business decisions. Both roles require strong SQL skills but differ in technical depth and focus areas.

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 cities in Virginia are hiring for From Home Data Platform Engineer jobs?

Cities in Virginia with the most From Home Data Platform Engineer job openings:

Infographic showing various From Home Data Platform Engineer job openings in Virginia as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Hybrid job distribution.

Platform Engineer - US

Adarga Ltd

Herndon, VA • On-site

$120 - $190/hr

Other

Posted 2 days ago

New


Job description

About Adarga

Adarga builds AI systems for customers working in Defence, Security and Resilience. With a core focus on our multimodal data fusion platform, we combine the value of humans and agents to transform information overload into decision advantage.

Our team is a hybrid of domain specialists and technologists. We believe this layering of experience is key to building cutting edge AI that is operationally relevant. With our foundations set in NLP, computational linguistics and graph technology we now draw on the latest ideas in agentic AI and knowledge representation, as we set our sights firmly on defining and building the next era of sovereign AI capability.

To work at Adarga you have to care deeply about the mission. We exist to support those with the ultimate task: upholding the liberties and values that define our society. We want people who are comfortable with uncertainty, who want to own decisions, who want to drive a vision.

The Role

Adarga is growing its Platform Engineering team and we’re looking for a Platform Engineer to join us. This is an excellent opportunity for someone who wants to develop their their platform or DevOps skills in a fast-paced, mission-driven environment.

You’ll work alongside experienced platform and software engineers, learning modern DevOps practices used to maintain a containerised microservices architecture. Our product is cloud native and highly automated – but there’s always more to build, improve and optimise. You’ll receive committed mentoring from an experienced team while making a genuine contribution to production systems that matter.

Your days will be dynamic: a mixture of development, learning, and supporting our product releases. You’ll gain exposure to a wide range of technologies and have a clear path toward increased responsibility and personal growth.

What you’ll be doing
  • Assist in maintaining and improving our cloud infrastructure and account structure
  • Contribute to our Infrastructure as Code codebase, primarily using Terraform
  • Support the deployment and operation of containerised applications in Kubernetes
  • Help automate infrastructure delivery pipelines and CI/CD workflows
  • Assist in monitoring, logging, and observability tasks across our platform
  • Support disaster recovery testing and data backup/restore processes
  • Work with software engineers and data scientists to understand and support their infrastructure needs
  • Learn and apply DevSecOps principles, integrating security into everyday workflows
  • Participate in incident response and troubleshooting under guidance from senior engineers
What you’ll get
  • Make a real impact – our flagship products will rely on the systems you help build and support
  • Continuous learning across a wide array of cloud-native technologies
  • Committed mentoring and training from an experienced platform engineering team
  • A clear path to increased responsibility, leadership, and personal growth
  • Exposure to defence, national security, and AI/ML workloads at production scale
Essential requirements
  • Experience with US Government Cloud systems
  • Experience in the FEDRAMP process
  • Hands-on Linux systems administration (or equivalent practical experience)
  • Practical experience with GCP and AWS services and concepts
  • Experience with Kubernetes, ideally GKE, and container fundamentals (Docker/Kubernetes)
  • Scripting ability in Bash, Python, or similar for automation tasks
  • Strong networking fundamentals (DNS, HTTP/S, TCP/IP, firewalls, load balancing)
  • Proficiency with Git and collaborative engineering workflows
  • Familiarity with GitOps and declarative configuration management
  • Ability to effectively leverage AI-assisted tools to accelerate engineering workflows
  • Strong problem-solving skills, ownership, and willingness to learn
  • Clear communication and effective team collaboration
Desirable requirements
  • Exposure to multi-cloud environments (AWS/GCP/Oracle) and migration patterns
  • Experience with Terraform/OpenTofu and Terragrunt
  • Experience with CI/CD and GitOps tooling (GitHub Actions, Atlantis, Argo CD)
  • Experience operating Kubernetes platforms in production (RBAC, ingress, observability)
  • Awareness of cloud security and compliance principles (least privilege, CIS, ISO 27001)
  • Experience with monitoring/observability tooling (Prometheus, Grafana, Loki and Tempo)
  • Relevant certification (e.g., Associate Cloud Engineer, AWS Certified Cloud Practitioner, AWS Certified Solutions Architect – Associate)
Further information

You will take part in cross-functional and cross-team communication to enhance collaboration. These will take the form of knowledge shares, reading groups, chapter group meetings, workshops and innovation projects.

This is a fantastic opportunity for a candidate at the start of their platform engineering career to develop their skills in an exciting, technology-led company working on genuinely important problems.

Interview Process
  • Getting to know you: In the first call, our recruiter will learn about you and your story to check a potential fit for Adarga. This is also a chance for you to ask initial questions about the role and company.

  • Team Interview: You’ll meet with your potential team members who will take a deeper dive into the technical aspects of the role. Expect some high-level technical questions, competency-based questions, and another chance to ask questions.

  • Technical Interview: You’ll work with your potential team members on technical questions and challenges. This will be a collaborative session – we’re interested in how you think and approach problems, not whether you have all the answers.

  • Final Interview: The last stage! Here we’ll gain a better understanding of your experience to date, discuss different projects you’ve worked on and the impact you’ve had, and give you an opportunity to meet more of the wider team.

Contact

careers@adarga.ai

Find out more about Adarga: https://adarga.ai/careers

Diversity & Inclusion at Adarga

Adarga recruits, trains, promotes and employs regardless of race, background, gender, colour, religion, disability, age, gender identity or any other protected status. In addition to this, we actively promote and encourage diversity of thought through multiple avenues. Adarga is dedicated to building and maintaining an inclusive environment where people feel valued, appreciated, and free to be themselves without prejudice.

Notice

We are not working with any new recruitment agencies, because we only want to work directly with individual applicants who can contact our People Team through careers@adarga.ai

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