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Senior Data Platform Engineer Jobs in Missouri (NOW HIRING)

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 ...

Equifax, Inc.

Senior Data Engineer

Saint Louis, MO · On-site

$103K - $140K/yr

As a Senior Data Engineer, you will lead the evolution of our data platform, and build data products, AI capabilities, and self-service solutions for the users of our data platform. What you'll do

Jobgether

$81K - $111K/yr

The role focuses on designing and evolving scalable, cloud-native data platforms that support ... Accountabilities: The Senior Data Engineer will be responsible for building and maintaining ...

TKC Holdings

Senior Data Analyst Engineer

Saint Louis, MO · On-site

$100K - $160K/yr

About This Position TKC Holdings is seeking a highly skilled Senior Data & Analytics Engineer to ... Platform Ownership & Governance * Participate in architecture reviews, code reviews, and technical ...

TKC Holdings

Senior Data Analyst Engineer

Saint Louis, MO · On-site

$100K - $160K/yr

About This Position TKC Holdings is seeking a highly skilled Senior Data & Analytics Engineer to ... Platform Ownership & Governance * Participate in architecture reviews, code reviews, and technical ...

TKC Holdings

Senior Data Analyst Engineer

Saint Louis, MO · On-site

$100K - $160K/yr

About This Position TKC Holdings is seeking a highly skilled Senior Data & Analytics Engineer to ... Platform Ownership & Governance * Participate in architecture reviews, code reviews, and technical ...

C2FO

Senior Data Engineer I

Kansas City, MO · On-site

$103K - $140K/yr

With the C2FO platform, businesses worldwide have more working capital to fuel their growth, create jobs and develop new products. Benefits At C2FO, we take care of our customers and our people - the ...

C2FO

Senior Data Engineer I

Kansas City, MO · On-site +1

$103K - $140K/yr

With the C2FO platform, businesses worldwide have more working capital to fuel their growth, create jobs and develop new products. Benefits At C2FO, we take care of our customers and our people - the ...

Navtech, Inc.

Sr Data Engineer

Lake Saint Louis, MO · On-site

$108K - $130K/yr

Senior Data Engineer Position Purpose: This position will provide the IT Shared Services with a platform for real-time stream processing by performing application and production support to help ...

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 ...

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All JobsData Platform Engineer JobsSenior Data Platform Engineer JobsSenior Data Platform Engineer Jobs in Missouri

Senior Data Platform Engineer information

How does a senior data platform engineer typically collaborate with data scientists and analysts within an organization?

A Senior Data Platform Engineer works closely with data scientists and analysts to understand their data needs and ensure the platform supports efficient data access, processing, and analysis. This often involves designing and implementing data pipelines, optimizing data storage solutions, and ensuring data quality and integrity. Regular communication is essential to align on data requirements, troubleshoot issues, and roll out new platform features that enhance analytical capabilities. Collaboration frequently occurs through agile ceremonies, project meetings, and shared documentation to ensure all stakeholders are aligned and productive.

What are the key skills and qualifications needed to thrive as a senior data platform engineer, and why are they important?

To thrive as a Senior Data Platform Engineer, you need deep expertise in data architecture, database management, ETL design, and programming languages like Python or Java, typically supported by a bachelor's degree in computer science or related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Spark or Hadoop), and certifications in relevant technologies are commonly required. Strong problem-solving, collaboration, and communication skills set top performers apart in this role. These competencies are essential for building robust, scalable data systems that support business intelligence and data-driven decision-making.

What does a senior data platform engineer do?

A Senior Data Platform Engineer is responsible for designing, building, and maintaining large-scale data platforms that support an organization's data analytics and processing needs. They work with various technologies to ensure data is collected, stored, and accessible efficiently and securely. Their role often involves optimizing data pipelines, managing databases, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable data solutions. In addition, they help set best practices and mentor junior engineers on the team.

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

AspectSenior Data Platform EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platformsBachelor's in CS, Software Engineering, or related; certifications in data tools are common
Work EnvironmentDesigning, building, and maintaining large-scale data platforms; working with cloud servicesDeveloping data pipelines, ETL processes, and data storage solutions
Industry UsageUsed across tech, finance, healthcare, and retail for managing data infrastructureCommonly employed in similar industries for data processing and integration

The Senior Data Platform Engineer focuses on designing and maintaining scalable data platforms, often with cloud expertise, while Data Engineers primarily develop data pipelines and ETL processes. Both roles require strong technical skills and are vital in data-driven organizations, but the Senior Data Platform Engineer typically has a broader scope and more strategic responsibilities.

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 cities in Missouri are hiring for Senior Data Platform Engineer jobs? Cities in Missouri with the most Senior Data Platform Engineer job openings:
Senior Data Platform Engineer jobs near you

Platform Engineer - Self-Service Data Platform

Jobgether

Remote

Full-time

Posted 12 days ago

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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