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

Jobgether

Our partner is looking for a Lead Data Platform Engineer based in Netherlands. Join a high-impact engineering team responsible for operating and evolving a large-scale cloud-native data platform that ...

Jobgether

$79K - $104K/yr

In this role, you will take full ownership of a modern, cloud-native GCP data platform following a major migration phase. You will operate at the intersection of architecture, hands-on engineering ...

MFour Data Research

Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

MFour Data Research is a leading consumer intelligence platform transforming how businesses ... for a live AI query layer, owning SLAs when upstream sources change. • Own the identity ...

Deloitte

Databricks Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery. Qualifications Required:

MFour Mobile Research, Inc.

Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

Founded in 2011, we are a leading consumer intelligence platform delivering validated, connected ... Keep the pipeline fast, scalable, and reliable for a live AI query layer, owning SLAs when upstream ...

Deloitte

Sr Databricks Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

... challenges in data modernization, governance, platform engineering, and insight delivery ... with Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, Apache Airflow ...

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 ...

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All JobsLive In Data Platform Engineer JobsLive In Data Platform Engineer Jobs in Missouri

Live In Data Platform Engineer information

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 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 Live In Data Platform Engineer jobs in Missouri? For Live In Data Platform Engineer jobs in Missouri, the most frequently searched job titles are:
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

Lead Data Platform Engineer

Jobgether

Remote

Full-time

Posted 9 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 Lead Data Platform Engineer based in Netherlands.

Join a high-impact engineering team responsible for operating and evolving a large-scale cloud-native data platform that processes billions of events and delivers critical business insights. This role combines hands-on technical leadership with platform ownership, giving you the opportunity to shape architecture, establish engineering standards, and drive long-term scalability and reliability. You will work across the full data lifecycle, from data ingestion and processing to modeling, reporting, and operational excellence. The position offers significant autonomy, close collaboration with technical and business stakeholders, and the chance to influence platform strategy while remaining deeply involved in implementation. It is an ideal opportunity for an experienced data platform professional who enjoys solving complex challenges in a modern cloud environment while mentoring others and promoting engineering best practices.

Accountabilities
  • Own the end-to-end data platform roadmap, driving strategic decisions and execution across architecture, operations, and continuous improvement initiatives.
  • Take responsibility for the complete data lifecycle, including data ingestion, streaming and batch processing, data modeling, quality assurance, reporting, and delivery pipelines.
  • Lead the ongoing optimization of a cloud-native platform, focusing on reliability, scalability, maintainability, operational efficiency, and cost management.
  • Establish and strengthen monitoring, observability, alerting, and incident response processes to ensure business-critical systems remain highly available and performant.
  • Conduct platform assessments, identify technical risks and improvement opportunities, and develop pragmatic roadmaps for platform evolution.
  • Define and promote engineering standards covering documentation, testing, code reviews, infrastructure management, and operational excellence.
  • Collaborate closely with product, customer-facing, and leadership teams to translate business objectives into scalable technical solutions.
  • Drive the adoption of AI-assisted engineering practices, including coding, testing, documentation, refactoring, and incident analysis workflows.
  • Mentor team members, provide technical leadership, and ensure sustainable ownership of critical platform components and processes.
Requirements
  • Minimum of 5 years of experience in Data Engineering, Data Platform Engineering, Platform Engineering, or related roles within production environments.
  • Strong proficiency in Go (Golang) with hands-on experience developing and maintaining backend systems and data processing applications.
  • Extensive experience with Google Cloud Platform services, including Cloud Run, Pub/Sub, BigQuery, Dataflow, Cloud Storage, and Cloud SQL.
  • Advanced SQL skills and solid expertise in analytical data modeling and large-scale data processing architectures.
  • Experience with infrastructure-as-code practices using Terraform, CI/CD pipelines, containerized workloads, and modern cloud deployment methodologies.
  • Familiarity with SQLMesh, dbt, or similar data orchestration and transformation frameworks is highly desirable.
  • Knowledge of Protobuf or comparable schema definition and data serialization technologies.
  • Experience implementing monitoring, observability, reliability, and operational best practices in production systems.
  • Understanding of web analytics, audience measurement systems, or comparable large-scale data environments is advantageous.
  • Practical experience using AI coding assistants and the ability to evaluate AI-generated code for quality, security, and maintainability.
  • Excellent communication and stakeholder management skills, with the ability to engage both technical and non-technical audiences.
  • Fluent German (C1 level) and good English communication skills for documentation and international collaboration.
  • Strong problem-solving abilities, ownership mindset, and a proactive approach to technical leadership.
Benefits
  • Fully remote work environment with the flexibility to work from anywhere.
  • High degree of autonomy and trust, allowing you to shape solutions and influence technical direction.
  • Opportunity to take ownership of a modern cloud-native platform with significant business impact.
  • Collaborative and supportive team culture focused on knowledge sharing and continuous improvement.
  • Minimal bureaucracy and streamlined processes designed to maximize productivity and innovation.
  • Access to a broad network of SaaS professionals for learning, collaboration, and professional development.
  • Exposure to cutting-edge technologies, cloud platforms, AI-assisted engineering practices, and large-scale data systems.
  • Inclusive and diverse workplace committed to equal opportunities and professional growth.
  • Transparent compensation practices, with salary information shared during the hiring process.
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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