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

Clayco

Platform Engineer

Saint Louis, MO · On-site

With $8.1 billion in revenue for 2025, Clayco specializes in the "art and science of building ... Data Center Contractor (Top 3). * 2025 ENR Top 100 Design-Build Firms - Design-Build Contractor ...

Clayco

Platform Engineer

Saint Louis, MO

With $8.1 billion in revenue for 2025, Clayco specializes in the "art and science of building ... Data Center Contractor (Top 3). * 2025 ENR Top 100 Design-Build Firms - Design-Build Contractor ...

World Wide Technology

Platform Engineer

Saint Louis, MO · On-site +1

$9.0K - $112K/yr

... contribute to an in-house Go control-plane service, work with data infrastructure, support ... Key Responsibilities Platform & Deployment Engineering * Help deploy and operate containerized ...

Jobgether

This role combines technical expertise in data and platform engineering with strong people leadership and delivery ownership. You will lead cross-functional teams responsible for building modern data ...

New

Yuno

... engineers responsible for the platform that processes billions of payment events across 80 ... You will operate in a fast-moving, global environment where data is mission-critical. Your ...

Maxar

Platform Engineer (Kubernetes)

Saint Louis, MO

We are seeking a Platform Engineer with strong experience in Kubernetes and OpenShift to design, build, and maintain scalable, secure, and highly available platforms. This role focuses on enabling ...

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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 Missouri? The most popular types of Data Platform Engineer jobs in Missouri are:
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What job categories do people searching Live In Data Platform Engineer jobs in Missouri look for? The top searched job categories for Live In Data Platform Engineer jobs in Missouri are:
Live In Data Platform Engineer jobs near you
Platform Engineer

Platform Engineer

The Timberline Group

Maryland Heights, MO

Full-time

Posted 17 days ago

Job description

US Citizens or GC Holders only
Must be on our W2- no C2C
Local candidates only
Onsite - 3-4 days per weekAs a Senior Engineer on the INFOPS Application Development team, you will play a key role in designing, building, and operating the platforms that suppors internal application development organization. This position blends hands-on technical execution with platform ownership, automation, and close collaboration with application and partner engineering teams.

RESPONSIBILITIES:
  • You will help design, build, and maintain a hybrid platform environment, integrating on-premises infrastructure with cloud services. A core responsibility of this role is owning and evolving the Red Hat OpenShift Container Platform, including configuration and lifecycle management across development, testing, and production environments.
  • You will design, write, and maintain GitOps-driven CI/CD pipelines that automate application delivery to Kubernetes platforms. This includes deploying and operating distributed applications using Helm charts, developing and maintaining Kubernetes operators where appropriate, and continuously improving delivery workflows through automation and standardization.
  • The role also includes ownership and operational responsibility for shared platforms that applications depend on, such as MongoDB, PostgreSQL, RabbitMQ, Apache Solr, and similar services. This includes lifecycle management, monitoring, troubleshooting, and ensuring platform reliability and availability.
  • You will build and maintain automation, self-service workflows, and platform capabilities that reduce manual effort and remove common bottlenecks. You will work closely with internal customers to understand requirements and engineer scalable, repeatable solutions aligned to business needs.
  • You will collaborate with partner engineering teams across WWT to align standards and drive efficiencies. As a senior member of the team, you will provide technical leadership through design collaboration, mentoring, and cross-training.
  • Operational excellence is a key expectation. You will monitor platform performance and availability, proactively identify and remediate issues, troubleshoot complex incidents, and participate in an on-call rotation and scheduled maintenance windows. Clear documentation, strong communication, and the ability to balance project delivery with operational responsibilities are essential to success in this role.
  • You are expected to actively participate in agile practices, including daily stand-ups, planning sessions, retrospectives, and ideation workshops, while contributing to continuous improvement across the team.

QUALIFICATIONS:
  • 7+ years of experience in software engineering or platform engineering
  • This role requires comfort working alongside AI-powered tools while maintaining strong engineering judgment, validation, and accountability for outcomes.
  • Senior Engineers will contribute to the adoption and continuous improvement of AI-enabled workflows by providing feedback, identifying opportunities for automation, and safely incorporating AI assistance into repeatable operational patterns.
  • This includes leveraging approved AI tools and agents to assist with platform operations, troubleshooting, automation, documentation, and workflow efficiency under established governance and best practices.
  • Senior Engineers on the INFOPS Application Development team are expected to actively use and support AI-assisted and agentic engineering workflows as part of their day-to-day work.
  • Strong hands-on experience with Kubernetes, including deploying, operating, and troubleshooting production workloads. Experience with Red Hat OpenShift is strongly preferred.
  • Demonstrated experience designing, implementing, configuring, and maintaining Kubernetes-based platforms across development, test, and production environments.
  • Experience administering or enabling at least one enterprise platform or shared service such as:
    • MongoDB
    • PostgreSQL
    • Redis
    • RabbitMQ
    • Apache Solr
  • Demonstrated experience with service mesh architectures, traffic management, or load balancing in Kubernetes environments.
  • Experience building and maintaining CI/CD pipelines and automation workflows using tools such as GitHub, Jenkins, Codefresh, APIs, and GitOps-based approaches.
  • Experience with Infrastructure as Code, configuration-as-code, and automation practices (e.g., Helm, Ansible, Terraform, YAML-based pipelines).
  • Strong Linux skills with demonstrated knowledge of operating system concepts and administration.
  • Experience with monitoring and observability solutions; experience with Prometheus and Grafana is a strong plus.
  • Comfort scripting or coding in languages such as Shell, Python, or Node.js.
  • Proven problem-solving skills and the ability to troubleshoot complex distributed systems.
  • Excellent written and verbal communication skills, with the ability to collaborate effectively across technical and non-technical teams.
  • A self-starter mindset with strong ownership, organization, and a passion for learning new technologies.
  • Bachelor’s degree in computer science, Information Technology, or equivalent practical experience.