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Contract Data Platform Engineer Jobs in Missouri

Jobgether

As a Platform Engineer - Self-Service Data Platform, you will play a key role in designing and evolving the infrastructure that enables engineers and researchers to securely access, manage, and ...

New

Augustine Institute Inc

Data Platform Architect

Florissant, MO · On-site

$58.75 - $75.75/hr

Qualifications * 7+ years of experience in data engineering, data architecture, or a closely ... Strong command of data governance principles: cataloging, lineage, data contracts, and stewardship

Jobgether

Our partner is looking for a ML Platform Engineer based in Netherlands. This role offers the ... Understanding of machine learning infrastructure, model serving systems, or data-intensive ...

TechnoSphere, Inc.

Azure Platform Engineer

O Fallon, MO · On-site

$65 - $75/mo

AZURE Platform Engineer O'Fallon, MO JD family:Calibri,sans -serif"> Project Scope: family:Calibri ... Calibri,sans -serif">Databases & Data lakes connectivity, Jenkins Secret Text, Kubernetes Sunita ...

HUB

D365 Platform Engineer

Saint Louis, MO · On-site

... data access activity and investigating audit log events within the CRM environment Support platform compliance tooling and escalate security concerns in coordination with developers and the Director ...

Jobgether

As a Senior Platform Engineer - Cloud & Developer Experience, you will play a pivotal role in ... data-driven innovation. Accountabilities * Design, build, and maintain the organization's cloud ...

New

Yuno

... engineers responsible for the platform that processes billions of payment events across 80 ... CI/CD for pipelines, infrastructure as code, and data contracts. What We Offer at Yuno

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All JobsContract Data Platform Engineer JobsContract Data Platform Engineer Jobs in Missouri

Contract Data Platform Engineer information

What is the difference between Contract Data Platform Engineer vs Contract Data Engineer?

AspectContract Data Platform EngineerContract Data Engineer
Primary FocusBuilding and maintaining data infrastructure and platformsDeveloping and optimizing data pipelines and workflows
Skills & CertificationsCloud platforms, data architecture, scripting, certifications like AWS or GCPSQL, ETL tools, programming languages, data modeling
Work EnvironmentCollaborates with data platform teams, cloud environments, infrastructure focusWorks on data pipelines, analytics, and data processing tasks
Industry UsageUsed in organizations with complex data infrastructure needsCommon in data-driven companies focusing on data analysis and reporting

The Contract Data Platform Engineer primarily focuses on designing and maintaining data infrastructure and platforms, often working with cloud services and architecture. In contrast, the Contract Data Engineer concentrates on developing data pipelines and processing workflows. Both roles require strong data skills, but their focus areas differ, making them suitable for different project needs within data teams.

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:
What are popular job titles related to Contract Data Platform Engineer jobs in Missouri? For Contract Data Platform Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Contract Data Platform Engineer jobs in Missouri look for? The top searched job categories for Contract Data Platform Engineer jobs in Missouri are:
Contract Data Platform Engineer jobs near you
Infographic showing various Contract Data Platform Engineer job openings in Missouri as of July 2026, with employment types broken down into 65% Full Time, 18% Part Time, 1% Temporary, and 16% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution.

Platform Engineer - Self-Service Data Platform

Jobgether

Remote

Full-time

Posted 3 days ago

New

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Platform Engineer - Self-Service Data Platform based in Netherlands.

As a Platform Engineer - Self-Service Data Platform, you will play a key role in designing and evolving the infrastructure that enables engineers and researchers to securely access, manage, and process large-scale datasets with minimal operational overhead. This hands-on position combines platform engineering, cloud infrastructure, and software development to create scalable self-service capabilities that accelerate innovation. Working in a remote-first and highly collaborative environment, you will partner with engineering and research teams to build reliable, secure, and reusable platform services. This is an exciting opportunity to contribute to cutting-edge AI and data-driven initiatives while shaping the foundations of a modern cloud-native platform.

Accountabilities
  • Design, build, and maintain the self-service data platform, including storage architecture, access management, and lifecycle management for large-scale datasets.
  • Develop reusable platform services and internal tooling that simplify data access, processing, and infrastructure management for engineering and research teams.
  • Design and optimize cloud-based storage solutions using modern object storage technologies and data formats to support scalable workflows.
  • Contribute to Infrastructure-as-Code initiatives by developing and maintaining Terraform configurations, CI/CD pipelines, and automated deployment processes.
  • Implement secure-by-design platform capabilities, including access controls, data classification, and least-privilege security practices.
  • Collaborate with cross-functional teams to identify platform capabilities that should be standardized and productized for broader organizational use.
  • Support scalable cloud infrastructure and continuously improve platform reliability, performance, and developer experience.
  • Promote engineering best practices, automation, and platform standards that enable efficient, self-service operations across technical teams.
Requirements
  • 3-5+ years of experience in platform engineering, infrastructure engineering, or related technical roles with strong ownership of production systems.
  • Hands-on experience with Infrastructure-as-Code, particularly Terraform, along with Kubernetes, Helm, and containerized environments.
  • Strong understanding of modern cloud storage technologies, object stores, relational databases, and contemporary data formats such as Parquet, Delta, or Iceberg.
  • Experience with workflow orchestration platforms such as Dagster, Airflow, Prefect, or similar technologies.
  • Strong software engineering skills using Python or another programming language suitable for platform and data engineering.
  • Experience implementing security best practices, including identity and access management, role-based permissions, and least-privilege principles.
  • Product-oriented mindset with experience building self-service platforms that improve developer productivity and operational efficiency.
  • Excellent collaboration and communication skills, with the ability to work effectively in remote, cross-functional environments.
  • Experience with AWS cloud services is highly desirable.
  • Knowledge of machine learning infrastructure, scientific data platforms, regulated industries, or open-source contributions is considered an advantage.
Benefits
  • Competitive salary with meaningful equity participation.
  • Fully remote working environment with flexible work arrangements.
  • Opportunity to build foundational platform technology supporting cutting-edge AI initiatives.
  • High level of ownership and autonomy over technical decisions and platform direction.
  • Career growth opportunities within a rapidly evolving technology environment.
  • Collaborative international team focused on innovation, engineering excellence, and knowledge sharing.
  • Opportunity to work at the intersection of artificial intelligence, cloud infrastructure, and large-scale data platforms.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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