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Live In Data Platform Engineer Jobs in Virginia (NOW HIRING)

... Proficiency in containerization (Docker) and orchestration concepts. · Strong programming ... Data Analytics Platforms / Tools (e.g., Domino, SageMaker) · Experience with ML lifecycle tools ...

Data Engineering Lead

Arlington, VA · On-site

$131.70K - $158.20K/yr

The Data Engineer will design, build, and maintain the core client data infrastructure and ... Document data architecture and pipelines, participate in data governance activities, and contribute ...

Background in SRE, reliability engineering, or platform operations. Relevant certifications such as ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

... in containerization (Docker) and orchestration concepts. • Strong programming/scripting ... Preferred Qualifications • Experience managing Data Analytics Platforms / Tools (e.g., Domino ...

Sr. Business Intelligence Platform Engineer

Richmond, VA · On-site

$50.50 - $65.75/hr

Your expertise in Data & Analytics platform engineering, automation, cloud technologies, and user enablement will help drive data democratization and empower business users with reliable, secure, and ...

Platform Engineer

Mclean, VA · On-site

$62K - $141K/yr

Here, you'll work alongside senior platform, DevOps, and application engineers in a fast-paced, mission-driven environment. You'll gain hands-on experience supporting systems operating under DoD ...

... platforms What We Offer • Competitive pay • Room and board provided (private room in client ... live-in assignments • Rewarding work that makes a real difference every day Schedule & Living ...

The Platform Engineers will be responsible for designing, deploying, and maintaining our cloud ... This role can be supported at a hybrid capacity in Herndon, VA. Key Responsibilities: * Deploying ...

Here, you'll work alongside senior platform, DevOps, and application engineers in a fast-paced, mission-driven environment. You'll gain hands-on experience supporting systems operating under DoD ...

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Live In Data Platform Engineer information

What is the difference between Live In Data Platform Engineer vs Data Engineer?

AspectLive In Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, IT, or related; certifications like AWS, GCP, or Hadoop
Work EnvironmentOn-site/live-in setup, often in remote or rural locations, supporting real-time data systemsOffice-based or remote, focusing on data pipeline development and management
Industry UsageUsed in industries requiring constant on-site data monitoring, such as energy or remote facilitiesCommon across tech, finance, healthcare, and other sectors for data infrastructure

The Live In Data Platform Engineer specializes in maintaining real-time data systems in on-site or remote environments, often requiring a live-in presence. In contrast, Data Engineers focus on building and managing data pipelines across various industries, typically working remotely or in-office. Both roles require similar technical skills but differ mainly in work setting and specific responsibilities.

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 Live In Data Platform Engineer jobs in Virginia? For Live In Data Platform Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Live In Data Platform Engineer jobs in Virginia look for? The top searched job categories for Live In Data Platform Engineer jobs in Virginia are:
What cities in Virginia are hiring for Live In Data Platform Engineer jobs? Cities in Virginia with the most Live In Data Platform Engineer job openings:

MLOps Platform Engineer

Tech Tammina LLC

Reston, VA • On-site

Contractor

Posted 27 days ago


Job description

Job title: MLOps Platform Engineer

Location: Reston VA
 

Required Qualifications

· 3+ years of hands-on experience with AWS services, including EKS, EC2, S3, IAM, CloudWatch, and ECR.

· Strong experience operating and troubleshooting Kubernetes (preferably AWS EKS).

· Proficiency in containerization (Docker) and orchestration concepts.

· Strong programming/scripting experience in Python and Bash.

· Experience building and managing CI/CD pipelines (GitLab or equivalent).

· Familiarity with machine learning workflows, including training, inference, and model monitoring.

· Experience with infrastructure-as-code (Terraform or CloudFormation).

· Experience supporting production platforms, including incident management and root cause analysis.

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Preferred Qualifications

· Experience managing Data Analytics Platforms / Tools (e.g., Domino, SageMaker)

· Experience with ML lifecycle tools such as MLflow, or similar.

· Experience supporting GPU-based workloads or distributed training environments.

· Familiarity with enterprise MLOps architectures and patterns (batch, real-time, microservices).

· Understanding of data processing frameworks and feature pipelines.

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Other Competencies

· Strong analytical, troubleshooting, and problem-solving skills.

· Effective communication and documentation abilities.

· Ability to collaborate across engineering, analytics, and product teams.

· Self-motivated with the ability to drive initiatives independently.

· Ability to work in a complex, regulated enterprise environment