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Cloud Data Platform Engineer Jobs in Missouri (NOW HIRING)

Jobgether

$81K - $111K/yr

The role combines hands-on data engineering with cloud infrastructure, platform automation, and AI-assisted engineering initiatives. You will collaborate with analysts, engineers, and business ...

Armaninollp

Data & AI Platform Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data ... Support day-to-day operations for cloud data platforms (workspace/project setup, access requests ...

Umbra

Staff Data Platform Engineer

California, MO · On-site

$200 - $250/hr

Experience with cloud platforms such as AWS, GCP, or Azure for building reliable data storage and ... Experience with Infrastructure-as-Code, DevOps, Identity and Access Management, and Developer ...

Apex Systems

Sr. Cloud Data Engineer

Springfield, MO · On-site

$96K - $131K/yr

Senior Cloud Data Engineer Internal Job Summary Join our Data Engineering team as a Senior Cloud ... The primary extraction platform is Netsmart's myAvatar electronic health record system, which uses ...

Safety National

Cloud Platform Engineer III

Saint Louis, MO · On-site

$52.75 - $70.50/hr

You will work closely with application developers, cloud engineers, data teams, cybersecurity, and product teams to support the smooth integration of platform services across the software development ...

Deloitte

Adobe Experience Platform

Saint Louis, MO

Building batch and streaming data ingestion pipelines using Data Prep, connectors, application programming interfaces (APIs), and cloud data platforms to support audience activation and campaign ...

CACI

Hybrid Cloud Platform Engineer

Saint Louis, MO · Hybrid

$75K - $158K/yr

Hybrid Cloud Platform Engineer Job Category: Information Technology Time Type: Full time Minimum ... The PaaS environment supports multiple tenants deploying a myriad of application stacks and data ...

Deloitte

Adobe Experience Platform

Kansas City, MO · On-site

Building batch and streaming data ingestion pipelines using Data Prep, connectors, application programming interfaces (APIs), and cloud data platforms to support audience activation and campaign ...

GDIT

Hybrid Cloud Platform Engineer

Saint Louis, MO · Hybrid

$124K - $169K/yr

And our work depends on TS/SCI level cleared Hybrid Cloud Platform Engineer joining our team to ... The PaaS environment supports multiple tenants deploying a myriad of application stacks and data ...

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Cloud Data Platform Engineer information

What cities in Missouri are hiring for Cloud Data Platform Engineer jobs?

Cities in Missouri with the most Cloud Data Platform Engineer job openings:

Infographic showing various Cloud Data Platform Engineer job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Engineer (Cloud)

On-site, Remote

Jobgether
See more jobs at Jobgetherexternal

$81K - $111K/yr

Full-time

PTO

Posted 9 days ago

Key responsibilities

  • Migrate data products, analytical workloads, and associated processes from MS SQL Server to a modern cloud data platform.

  • Build, maintain, and optimize scalable batch data pipelines and analytical data models for production use.

  • Collaborate with data analysts and business stakeholders to clarify requirements, understand business logic, and ensure technical solutions support analytical needs.

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 Senior Data Engineer (Cloud) based in Netherlands.

This role offers the opportunity to modernize data infrastructure and build scalable cloud-based data products in a globally distributed technology environment.
You will lead the migration of data workloads from legacy SQL Server environments to modern cloud platforms.
Your work will directly improve the reliability, quality, performance, and accessibility of analytical data.
You will design production-grade ETL/ELT pipelines, analytical models, and cloud data workflows using modern engineering practices.
The role combines hands-on data engineering with cloud infrastructure, platform automation, and AI-assisted engineering initiatives.
You will collaborate with analysts, engineers, and business stakeholders to translate complex requirements and legacy logic into robust solutions.
This is an excellent opportunity for a senior engineer who enjoys solving challenging data problems and shaping modern cloud platforms.

Accountabilities
  • Migrate data products, analytical workloads, and associated processes from MS SQL Server to a modern cloud data platform.
  • Analyze legacy SQL, ETL workflows, data models, and business logic, redesigning them to align with the target cloud architecture.
  • Build, maintain, and optimize scalable batch data pipelines and analytical data models for production use.
  • Deploy, configure, and operate managed cloud data services, including data warehouses, workflow orchestration, managed compute, and storage.
  • Validate migrated data, investigate discrepancies, and implement measures to maintain high standards of data accuracy and quality.
  • Collaborate with data analysts and business stakeholders to clarify requirements, understand business logic, and ensure technical solutions support analytical needs.
  • Contribute to data platform reliability, performance optimization, cost efficiency, monitoring, and broader engineering best practices.
  • Develop and improve AI-assisted engineering automation for data engineering workflows, including reusable agent capabilities, shared specifications, evaluation frameworks, quality controls, and supporting tools.
  • Apply automation and infrastructure engineering practices to improve the efficiency, consistency, and scalability of data workflows.
  • Identify technical risks and opportunities for continuous improvement across data pipelines, cloud infrastructure, and analytical workloads.
Requirements
  • Strong professional background in Data Engineering with advanced SQL skills and extensive experience working with relational databases.
  • Hands-on experience with GCP data technologies or another major cloud platform, with strong practical knowledge of services such as BigQuery, Cloud Composer, and Google Cloud Storage.
  • Proven experience designing and operating production-grade ETL/ELT pipelines and analytical data models.
  • Experience deploying, configuring, and managing cloud data services, including workflow orchestration, managed or serverless compute, analytical warehouses, and cloud storage.
  • Strong Python skills or proficiency in another general-purpose programming language, with practical application across data engineering, platform automation, and analytical workloads.
  • Solid understanding of cloud infrastructure concepts, including IAM, networking, monitoring, CI/CD, and infrastructure configuration.
  • Experience working with legacy data warehouses, complex SQL environments, and business logic that requires careful analysis and modernization.
  • Ability to investigate data issues, identify root causes, validate migrations, and maintain strong data quality standards.
  • Strong problem-solving and analytical capabilities, combined with a structured and engineering-focused approach to complex technical challenges.
  • Comfortable collaborating with technical and non-technical stakeholders in a distributed, international environment.
  • Fluent Russian communication skills.
Benefits
  • Fully remote, full-time opportunity with the flexibility to work from anywhere.
  • Initial compensation or salary range shared with candidates during the recruitment process before employment begins.
  • 28 calendar days of vacation per year.
  • 7 wellness days annually for personal, household, or recovery needs.
  • Referral bonuses of up to $5,000 for successful candidate recommendations.
  • 50% reimbursement for professional training, international conferences, and industry events.
  • Corporate discounts for English-language lessons.
  • Health support, including reimbursement of up to $1,000 gross per year per employee for eligible employees who do not have access to corporate medical insurance, usable toward health insurance or eligible medical expenses for the employee and close relatives.
  • Workplace support, including equipment and workspace resources where available, or reimbursement of up to $1,000 gross every three years toward coworking or home-office costs in other locations.
  • Internal gamified recognition program where colleagues can award bonuses that can be exchanged for merchandise, team-building activities, massage certificates, and other benefits.
  • Opportunity to work with modern cloud data technologies, AI-assisted engineering automation, and globally distributed technical teams.
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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