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Go Programmer Jobs in Utah (NOW HIRING)

Senior Data Platform Engineer

Lehi, UT · On-site

$99K - $135K/yr

Go preferred * Hands-on experience designing and operating modern data stacks involving Apache ... Proficiency with DevOps and Site Reliability Engineering principles * Proficiency defining ...

New

Go-to-Market - Provo, UT, USA

Provo, UT · On-site

$150K - $200K/yr

These include frontend and backend engineers, AI research scientists, and others from Amazon ... Go-to-Market, you're equal parts dealmaker and builder. You'll own the full sales cycle for new ...

Go-to-Market - Provo, UT, USA

Provo, UT · On-site

$150K - $200K/yr

These include frontend and backend engineers, AI research scientists, and others from Amazon ... Go-to-Market, you're equal parts dealmaker and builder. You'll own the full sales cycle for new ...

Production Engineer

Cedar City, UT · On-site

$16 - $18/hr

Engineer Description The Engineer position requires extensive knowledge of all the systems and ... This person understands all the different elements that go into each project in order to accurately ...

Senior / Principal Design Engineer

Riverton, UT · On-site

$119K - $164K/yr

Senior / Principal Design Engineer, Zev Technologies A Note on Role StructureThis position can be ... Design go/no-go and functional gaging to support supplier incoming inspection, in-house quality ...

Senior / Principal Design Engineer

Riverton, UT · On-site

$119K - $164K/yr

Senior / Principal Design Engineer, Zev Technologies A Note on Role Structure This position can be ... no-go and functional gaging to support supplier incoming inspection, in-house quality inspection ...

DevOps / Cloud Native Engineer

American Fork, UT · On-site

$47.25 - $64.50/hr

Title: DevOps / Cloud Native Engineer Location American Fork UT Experience with any Container ... you go, we are not looking for a cookie cutter solution to our complex problems • Building ...

Occasional evenings or weekends may be needed for critical launches and go-lives. What you'll do ... Improve developer experience through testing strategies, build pipelines, documentation, and ...

Occasional evenings or weekends may be needed for critical launches and go-lives. What you'll do ... Improve developer experience through testing strategies, build pipelines, documentation, and ...

Occasional evenings or weekends may be needed for critical launches and go-lives. What you'll do ... Improve developer experience through testing strategies, build pipelines, documentation, and ...

TypeScript, tRPC, Go, OpenAPI * Infrastructure: Terraform, Kubernetes, Docker, AWS * Data ... Engineering, Product, and Design. * A positive, solution-oriented mindset, the ability to take ...

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Go Programmer information

See Utah salary details

$10

$35

$62

How much do go programmer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for go programmer in Utah is $35.99, according to ZipRecruiter salary data. Most workers in this role earn between $23.41 and $46.83 per hour, depending on experience, location, and employer.

What is a Go programmer?

A Go Programmer is a software developer who specializes in writing applications using the Go (Golang) programming language. They design, develop, test, and maintain scalable and high-performance software, often for backend systems, cloud services, and microservices architectures. Go Programmers work with tools like Docker, Kubernetes, and databases to build efficient and concurrent applications. They collaborate with teams to solve technical challenges and optimize system performance.

What are some common challenges Go programmers face when working on large-scale backend systems?

Go Programmers working on large-scale backend systems often encounter challenges such as managing concurrency efficiently, optimizing system performance, and ensuring code maintainability in growing codebases. Balancing simplicity and scalability, especially when handling microservices architectures or high-traffic environments, can require creative problem-solving and close collaboration with DevOps and front-end engineers. Additionally, integrating Go services with legacy systems or third-party APIs sometimes presents unique obstacles. By leveraging Go’s strengths and working closely with team members, these challenges can be successfully addressed and lead to robust, high-performance applications.

What are the key skills and qualifications needed to thrive as a Go programmer, and why are they important?

To thrive as a Go Programmer, you need strong programming skills in Go (Golang), a solid understanding of concurrent programming, and experience with software development frameworks and version control. Familiarity with tools such as Docker, Kubernetes, RESTful APIs, and cloud platforms like AWS or GCP is often expected, and holding certifications in cloud or backend development can be a plus. Excellent problem-solving skills, teamwork, and effective communication are important soft skills for this role. These abilities ensure that you can deliver reliable, scalable solutions and work efficiently within collaborative engineering environments.

Are Go programmers in high demand?

Go programmers are in high demand due to the language's efficiency, scalability, and use in cloud computing, microservices, and backend development. Companies seek skilled Go developers for performance-critical applications, and the demand is expected to grow as these technologies expand.

How much do Go programmers make?

Go programmers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Skilled developers with expertise in concurrent programming and cloud infrastructure tend to command higher salaries.

What are popular job titles related to Go Programmer jobs in Utah?

For Go Programmer jobs in Utah, the most frequently searched job titles are:

Infographic showing various Go Programmer job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 25% Part Time, and 5% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $74,864 per year, or $36 per hour.

Senior Data Platform Engineer

Lehi, UT • On-site

$99K - $135K/yr

Other

Posted 3 days ago

New


Job description

  • Design, build, and operate scalable, high-performance data infrastructure for batch and real-time processing
  • Drive vague or high-level problem statements to concrete architectures and production deployments end to end
  • Define and manage platform infrastructure as code
  • Build self-healing and observable systems requiring minimal manual intervention
  • Build tooling, SDKs, and self-service paths for Data Engineers, Software Engineers, and AI agents
  • Implement optimized data pipeline architectures and data access patterns for global teams
  • Collaborate with Software Engineers, Data Engineers, Product, Marketing, and other departments
  • Participate in design reviews and provide technical direction
  • Integrate cloud security and access-control best practices across distributed data assets
  • Troubleshoot and resolve performance bottlenecks in distributed data systems
  • Build diagnostic and monitoring tools to identify system-health and data-availability issues
  • Optimize cloud costs and infrastructure performance
  • Maintain and improve platform components ingesting and querying tens of trillions of data points
  • Participate in peer code reviews and technical documentation
  • Establish CI/CD pipelines and proactive alerting mechanisms
  • Report directly to the VP of Data and Architecture
  • Independently design and execute platform features and contribute to operational processes
Requirements
  • 4+ years of experience in data platform engineering, data infrastructure, or backend software development
  • Ability to take vague or high-level requirements and drive them to concrete, production-ready solutions
  • Strong proficiency in performant, concurrent data services and platform tooling
  • Deep expertise in Go, Java, Python, Ruby, or Scala; Go preferred
  • Hands-on experience designing and operating modern data stacks involving Apache Iceberg, Glue catalog, S3, Trino, Spark, ClickHouse, and Kafka
  • Experience operating data stacks within Kubernetes
  • Proficiency with DevOps and Site Reliability Engineering principles
  • Proficiency defining infrastructure with Terraform or CloudFormation
  • Experience creating self-healing systems and observability solutions using Prometheus, Grafana, or Datadog
  • Ability to manage and tune Postgres/RDS and distributed systems
  • Knowledge of data consistency, efficient indexing, and query performance optimization
  • Ability to expose data and infrastructure through catalogs, metadata, semantic layers, MCP servers, and agent-safe query paths
  • Experience using AI coding tools
  • Ability to articulate architectural trade-offs and defend design choices with data
  • Ability to professionally challenge the status quo
  • Production Go experience, Spark-on-Kubernetes operations, CDC-based ingestion, data catalog and lineage tooling, Snowflake or Databricks, and open-source data tooling contributions are strong nice-to-haves
Core Competencies

Demonstrates expertise in designing and operating scalable data infrastructure, with a strong focus on performance optimization, observability, and self-healing systems. Proficient in leveraging modern data stacks and cloud technologies to deliver production-ready solutions.

Highest-signal resume keywords
  • Data Platform Engineering
  • Go Programming
  • Apache Spark
  • Terraform
  • Kubernetes
Hard Skills
  • Data Infrastructure
  • Backend Software Development
  • Concurrent Data Services
  • Performance Optimization
  • Data Consistency
  • Query Performance
  • Self-Healing Systems
  • Observability Solutions
  • Data Cataloging
  • AI Coding Tools
Soft Skills
  • Problem Solving
  • Collaboration
  • Technical Direction
  • Challenging Status Quo
  • Articulating Architectural Trade-offs
Industry Keywords
  • DevOps
  • Site Reliability Engineering
  • Infrastructure as Code
  • CI/CD Pipelines
  • Distributed Systems
Tools & Technologies
  • Apache Iceberg
  • AWS Glue
  • Amazon S3
  • Trino
  • ClickHouse
  • Kafka
  • Prometheus
  • Grafana
  • Datadog
  • Postgres
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