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

Bachelor's Degree in Computer Programming, Science, Engineering or a related technical discipline ... By proceeding, you authorize the collection, processing, and use of your biometric data for ...

$44 - $58.50/hr

Our partner is looking for a Senior Platform Engineer (SRE) based in Netherlands. This is a senior ... A major focus will be building highly available infrastructure capable of supporting critical live ...

Data Engg with DQ Exp

California, MO · On-site

$140 - $160/hr

Azure AI Engineer (preferred) Preferred Experience * Experience in BFSI, Healthcare, Retail, Manufacturing, or CPG domains. * Exposure to AI/ML data platforms. * Experience with multi‑cloud or ...

Data Engg with DQ Exp

California, MO · On-site

$140 - $160/hr

... in Data Engineering and Data Quality (DQ) frameworks to design, implement, and govern scalable enterprise data platforms on Microsoft Azure. The ideal candidate will have deep experience in cloud ...

New

$81K - $111K/yr

Our partner is looking for a Senior Data Engineer based in Netherlands. This is a remote-first opportunity for an experienced Data Engineer to help design and evolve a scalable analytics platform.

Showing results 41-60

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:

Sr Staff Software Engineer- Data Platform

WEX Inc.

California, MO • On-site

$220 - $255.80/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


WEX Inc. rating

7.3

Company rating: 7.3 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

13th of 21 rated payment service providers


Job description

About Us

WEX is a global commerce platform that helps businesses solve operational complexities such as employee benefits, fleet management, and payment processing. With over 6,500 employees worldwide and partners in more than 200 countries, we foster continuous innovation and deliver unparalleled client service.

Is This Role For You?

YES, if you are a Backend/Software Engineer who enjoys solving “Big Data” problems, building data‑discovery APIs, and optimizing distributed systems.

NO, if your primary work focuses on writing SQL, building Tableau dashboards, or managing ETL workflows without deep experience in Java or Python system architecture.

Responsibilities
  • Architectural Sovereignty: Define the 3‑5 year technical roadmap for the Data Lakehouse, determining how storage, compute, and metadata layers interact.
  • Platform‑as‑a‑Product: Build internal SDKs, CLI tools, and automated orchestration frameworks to abstract cloud complexity.
  • Internal R&D: Prototype and benchmark emerging technologies (e.g., specialized Spark extensions) to maintain performance and cost efficiency.
  • Global Governance & Security: Design compliance‑by‑design systems, automate data lineage, PII masking, and fine‑grained access control at petabyte scale.
  • AI Governance Lake: Implement streaming support for Open Telemetry data from AI agents and develop advanced AI evaluation metrics.
  • Engineering Excellence & Influence: Set standards for code quality and system design, lead cross‑functional architecture reviews, and serve as the final escalation point for complex outages.
  • Organizational Mentorship: Foster an engineering community, influence hiring standards, and shape professional development paths.
Qualifications & Experience
  • Experience: 15+ years in software engineering, with at least 4 years in a principal or staff‑level capacity leading platform‑scale initiatives.
  • Core Technical Competencies (Software Engineering Focus):
    • Strong software foundations, including algorithms, data structures, and system design.
    • Experience in the Java/J2EE ecosystem (Spring Boot, Microservices) and Python.
    • Building platforms, framework engines, and APIs that power data movement, not just ETL pipelines.
    • Data Lakehouse mastery: deep knowledge of Apache Iceberg, Hudi, or Delta Lake.
    • Contributing to or customizing open‑source data projects such as Spark and dbt.
    • Designing high‑throughput, fault‑tolerant pipelines and orchestration frameworks to ensure robust data transformations and quality.
    • Cloud and infrastructure: extensive experience with AWS (S3, EMR, Kubernetes, Lambda) and Azure, plus CI/CD automation, Terraform, and modern development tools.
    • AI‑Driven Development & Productivity: leveraging AI code generation platforms, LLM‑Ops for vector database integration, and automated unit test generation.
    • Leadership & Vision: influencing technology adoption across autonomous teams and communicating architectural trade‑offs to executives and engineers alike.
  • Education: Bachelor’s or Master’s degree in Computer Science (Distributed Systems focus) preferred, or equivalent industry experience.
Compensation & Benefits

Pay Range: $220,000.00 – $255,800.00. Base pay is one component of WEX’s total compensation package and may include a quarterly or annual bonus. Benefits include health, dental, and vision insurance, retirement savings plan, paid time off, health savings account, flexible spending accounts, life and disability insurance, tuition reimbursement, and additional wellness resources.

EEO Statement

WEX is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, sexual orientation, gender identity, protected veteran status, disability, or other protected status. WEX promotes a drug‑free workplace. Qualified individuals with a disability have the right to request a reasonable accommodation. If you require a reasonable accommodation, please submit your request through the Reasonable Accommodation Request Form.

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