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Live In Data Platform Engineer Jobs in Washington

Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in ... As a Platform Engineer, you will be responsible for designing, implementing, and maintaining the ...

S. citizenship required. * 5+ years of experience in Platform Engineering or Software Development ... in the schedule. Preferred Requirements * Prior experience or familiarity with DISA's Big Data ...

S. citizenship required. * 5+ years of experience in Platform Engineering or Software Development ... in the schedule. Preferred Requirements * Prior experience or familiarity with DISA's Big Data ...

S. citizenship required. * 9+ years of experience in Platform Engineering or Software Development ... Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g.

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Minimum Years of Experience * 3 years of experience in data engineering and/or data platform engineering (pipelines, integration, and operational support). Essential Job Expectations While the ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Minimum Years of Experience * 3 years of experience in data engineering and/or data platform engineering (pipelines, integration, and operational support). Essential Job Expectations While the ...

Data Engineer

Reston, VA

$119K - $143K/yr

Minimum Years of Experience * 3 years of experience in data engineering and/or data platform engineering (pipelines, integration, and operational support). Essential Job Expectations While the ...

Analyze and review the latest advances in commercial/open-source data, analytic, and AI ... Engineering and operatingdata and AI platform tools(for example:DataBricks,Plantir, Collibra ...

Analyze and review the latest advances in commercial/open-source data, analytic, and AI ... Engineering and operatingdata and AI platform tools(for example:DataBricks,Plantir, Collibra ...

Big Data Engineer

Chantilly, VA · On-site

$57.50 - $76.25/hr

In this role, you will design, develop, and maintain data pipelines, ensure efficient data ... Data Platform Engineer, Cloud Data Engineer, Database Engineer, Data Infrastructure Engineer ...

Big Data Engineer

Annapolis Junction, MD · On-site

$57 - $75.25/hr

In this role, you will design, develop, and maintain data pipelines, ensure efficient data ... Data Platform Engineer, Cloud Data Engineer, Database Engineer, Data Infrastructure Engineer ...

Big Data Engineer

Reston, VA · On-site

$58 - $76.75/hr

In this role, you will design, develop, and maintain data pipelines, ensure efficient data ... Data Platform Engineer, Cloud Data Engineer, Database Engineer, Data Infrastructure Engineer ...

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Live In Data Platform Engineer information

How much do data platform engineers make?

Data platform engineers typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and big data tools can earn higher compensation, often exceeding $180,000 per year.

Can I make 200K as a data engineer?

A Live In Data Platform Engineer can potentially earn $200,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, data architecture, and big data tools, as well as in high-demand industries or senior roles. Compensation varies based on location, company size, and individual expertise, with senior or specialized engineers often reaching or exceeding this salary level.

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 engineers make $300,000 a year?

Senior data platform engineers, especially those with expertise in large-scale data systems, cloud infrastructure, and advanced programming skills, can earn $300,000 or more annually. High compensation often requires extensive experience, specialized certifications, and leadership responsibilities within organizations that rely heavily on data infrastructure.

What engineer makes $500,000 a year?

A Live In Data Platform Engineer can earn $500,000 annually, especially with extensive experience, specialized skills in cloud platforms, data architecture, and high-demand environments. Such compensation often includes base salary, bonuses, and stock options in large tech companies or startups with significant data infrastructure needs.
What are the most commonly searched types of Data Platform Engineer jobs in Washington? The most popular types of Data Platform Engineer jobs in Washington are:
What are popular job titles related to Live In Data Platform Engineer jobs in Washington? For Live In Data Platform Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Live In Data Platform Engineer jobs in Washington look for? The top searched job categories for Live In Data Platform Engineer jobs in Washington are:

Platform Engineer

GRVTY

Chantilly, VA • On-site

Other

Posted 4 days ago


Job description

What Impact You'll Have

GRVTY provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations.

As a Platform Engineer, you will be responsible for designing, implementing, and maintaining the infrastructure that supports the organization's applications and services. Your role will involve working with Kubernetes, DevSecOps practices, Terraform, Ansible, Puppet, RedHat Linux, Helm, container management, CI/CD pipelines, and AWS IAM. You will play a crucial part in ensuring the reliability, scalability, and security of the platform, as well as optimizing performance and cost-efficiency.

What You'll be Owning

GRVTY is seeking a Platform Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA.

What You Must Have

  • Active TS/SCI with Polygraph Clearance (applicable to this customer)
  • A Bachelor's degree in a technical field, or equivalent relevant experience
  • Experience with Ansible and Puppet for configuration management
  • Experience with RedHat Linux for OS administration
  • Experience with Helm for managing Kubernetes applications
  • Experience with AWS IAM for identity and access management
  • Willingness and ability to effectively collaborate with cross-functional teams, troubleshoot complex issues, and drive continuous improvement initiatives within the platform infrastructure

What Would be Nice to Have

  • Relevant certifications in Kubernetes, DevSecOps, or AWS
  • Familiarity with Kubernetes for container orchestration
  • Familiarity with DevSecOps practices for integrating security into the development process
  • Familiarity with Terraform for infrastructure as code
  • Experience working with large-scale cloud environments

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