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Freelance Data Platform Engineer Jobs in Utah (NOW HIRING)

Sr. Cloud Platform Engineer

Lehi, UT ยท On-site

$52.25 - $70/hr

Our platform sits at the intersection of financial data, cloud-scale infrastructure, and trust, and ... Empower Developers: Reduce friction in the development lifecycle by optimizing platform response ...

Sr. Cloud Platform Engineer

Lehi, UT ยท On-site

$52.25 - $70/hr

Our platform sits at the intersection of financial data, cloud-scale infrastructure, and trust, and ... Empower Developers: Reduce friction in the development lifecycle by optimizing platform response ...

Sr. Product Manager, Core Data Platform

Draper, UT ยท Hybrid

$118K - $156K/yr

Partner closely with principal architects and engineering leads to make principled data modeling tradeoffs and communicate the implications broadly. * Ensure the data platform is easy to build ...

Staff Data Architect

Lehi, UT ยท On-site

$140 - $210/hr

Guide and mentor data engineers through design reviews, technical documentation, and hands on support * Evaluate and recommend data tools, frameworks, and platform investments, including build vs ...

New

Staff Data Architect

Lehi, UT ยท On-site

$150 - $210/hr

Guide and mentor data engineers through design reviews, technical documentation, and hands on support * Evaluate and recommend data tools, frameworks, and platform investments, including build vs ...

New

Staff Data Architect

Lehi, UT ยท On-site

$59.75 - $77/hr

Guide and mentor data engineers through design reviews, technical documentation, and hands on support * Evaluate and recommend data tools, frameworks, and platform investments, including build vs ...

Senior Data Engineer

American Fork, UT ยท On-site

$94K - $128K/yr

ABOUT THIS ROLE As Senior Data Engineer, you will own and evolve LVT's core data platform-architecting and operating the pipelines, transformations, and semantic models that power reporting ...

Distinguished Architect, Data Technology

Draper, UT ยท Hybrid

$59.50 - $76.75/hr

Elevate how internal developers build on top of the data platform: evolve the Internal Developer Platform (IDP) to empower teams with standardized, self-service developer workflows, standard ...

This individual will implement and support RESTful API integrations and reporting solutions, partnering closely with engineering, data platform, and cross-functional teams to keep dealer data flowing ...

Showing results 41-60

Freelance Data Platform Engineer information

What is a freelance data platform engineer?

A Freelance Data Platform Engineer is a professional who designs, builds, and maintains data infrastructure and platforms on a project or contract basis, rather than as a full-time employee. They work with clients to develop scalable and efficient data solutions, such as data warehouses, ETL pipelines, and cloud-based data systems. Their responsibilities often include integrating various data sources, ensuring data quality, and optimizing data workflows to support analytics and business intelligence. Freelance Data Platform Engineers typically have expertise in databases, cloud services, programming, and data architecture. They offer flexibility and specialized skills to organizations that need temporary or project-based support.

What are the key skills and qualifications needed to thrive as a freelance data platform engineer?

To thrive as a Freelance Data Platform Engineer, you need strong skills in data architecture, ETL processes, and cloud platform management, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, Spark, AWS, Azure, and certifications such as AWS Certified Data Analytics or Google Cloud Data Engineer are highly valuable. Effective client communication, problem-solving, and project management skills help you stand out, especially when coordinating independently with multiple stakeholders. These competencies ensure you can design scalable solutions, deliver projects efficiently, and build strong client relationships in a dynamic freelance environment.

How do freelance data platform engineers typically manage collaboration with clients and remote teams?

Freelance Data Platform Engineers often collaborate with clients and distributed teams using project management tools, version control systems, and regular virtual meetings. Clear communication is essential for aligning on data requirements, setting expectations, and providing progress updates. It's common to work asynchronously, so documenting work and maintaining transparent workflows help ensure smooth handoffs. Building trust and reliability is key to fostering long-term client relationships in a freelance setting.

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

AspectFreelance Data Platform EngineerData Engineer
CredentialsRelevant certifications (e.g., AWS, GCP, Azure), technical skillsSimilar certifications, technical skills, often full-time roles
Work EnvironmentIndependent, project-based, remote or on-siteFull-time, in-house or remote
Employer & Industry UsageFreelance platforms, consulting firms, startupsTech companies, finance, healthcare, large enterprises
Search & Comparison IntentYes, for freelance opportunities or project-based workYes, for full-time or contract roles

In summary, Freelance Data Platform Engineers typically work independently on short-term projects, requiring similar skills and certifications as Data Engineers but with a focus on flexibility and client-based work. Data Engineers often work full-time within organizations, focusing on building and maintaining data infrastructure.

How much do freelance data platform engineers make?

Freelance data platform engineers typically earn between $50 and $150 per hour, depending on experience, skills, and project complexity. Experienced professionals with expertise in cloud platforms, data pipelines, and tools like Apache Spark or Kafka tend to command higher rates. Annual earnings vary widely based on workload and client base, often ranging from $80,000 to over $200,000 for full-time equivalent work.

What are the most commonly searched types of Data Platform Engineer jobs in Utah?

The most popular types of Data Platform Engineer jobs in Utah are:

What are popular job titles related to Freelance Data Platform Engineer jobs in Utah?

For Freelance Data Platform Engineer jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Freelance Data Platform Engineer jobs in Utah look for?

The top searched job categories for Freelance Data Platform Engineer jobs in Utah are:

What cities in Utah are hiring for Freelance Data Platform Engineer jobs?

Cities in Utah with the most Freelance Data Platform Engineer job openings:

Infographic showing various Freelance Data Platform Engineer job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Sr. Cloud Platform Engineer

MX Technologies, Inc.

Lehi, UT โ€ข On-site

$52.25 - $70/hr

Full-time

Posted 14 days ago


Job description

At MX, we're on a mission to empower the world to be financially strong. We power the financial experiences behind thousands of banks, credit unions, and fintechs, helping millions of people better understand, manage, and improve their financial lives. Our platform sits at the intersection of financial data, cloud-scale infrastructure, and trust, and it has to work, every time, at massive scale.

We're entering a pivotal phase of our technology evolution: moving from legacy on-prem infrastructure to a modern, cloud-native platform designed for resilience, security, and developer velocity. It's a chance to build the next generation of MX's platform thoughtfully, reliably, and with long-term impact in mind.

If you enjoy working on complex systems, care deeply about uptime and reliability, and want your work to directly power the financial well-being of millions, this is where you'll do the most meaningful work of your career.

What You'll Do

  • Drive Cloud Migration: Drive the end-to-end migration of production workloads from on-premise data centers to GCP.

  • Architect for Reliability: Design and implement production-grade Kubernetes environments and GCP architectures that prioritize 99.99+% availability.

  • Operational Excellence: Improve incident triage and improved recovery timeby implementing cloud-aware diagnostics and automated recovery patterns.

  • Empower Developers: Reduce friction in the development lifecycle by optimizing platform response times and ensuring reliable, repeatable deployment events.

  • Platform Standards, Security, and Governance: Embed security and compliance controls directly into platform abstractions (policy-as-code, identity, networking) and partner with security and compliance teams to meet regulatory requirements by design.

  • Mentor and Standardize: Build patterns and shared tooling that allow the broader engineering teams to operate confidently in the cloud without external reliance.

12-Month Definition of Success

Within 12 months, you will have demonstrably delivered:

1. Cloud Migration Execution

  • Successful migration of production workloads to public cloud
  • Prevented customer-impacting regressions attributable to platform design
  • Clear, documented cloud architectures and operational runbooks

2. Reliability & Operations

  • Sustained 99.99%+ availability during and after migration
  • Improved incident triage and improved recovery time through cloud-aware diagnostics
  • Production-grade Kubernetes operations in cloud

3. Team Uplift

  • Platform team operating independently and confidently in cloud
  • Shared standards, tooling, and golden paths adopted across teams
  • Reduced reliance on external consultants or reactively addressing infrastructure issues

4. Developer Productivity

  • Faster platform response times for developer issues
  • More reliable deployments and fewer rollback events
  • Clear reduction in developer-reported friction related to infrastructure

Basic Qualificationsย 

  • 10+ Total years of experience in a developer, devops, SRE, cloud role

  • 5+ years cloud experience (on-prem to cloud migration experience would be critical)

  • 5+ years Kubernetes and microservices operations experience at scale

  • Exceptional incident triage and debugging skills in high-pressure environments

  • Strong experience with infrastructure-as-code, CI/CD, and observability tooling.

Preferred Qualificationsย 

  • Proficiency in Golang, Ruby, Java, or similar systems programming languages.

  • Experience building developer platforms or internal tooling, or cloud enablement frameworks.

  • Familiarity with Backstage, Crossplane, Argo, Terraform, policy-as-code frameworks, or similar platform tooling.

  • Familiarity with SRE practices, SLIs/SLOs, chaos engineering, and reliability engineering frameworks.