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Databricks Software Jobs in Utah (NOW HIRING)

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building and ...

Sr. Test Automation Engineer

Cottonwood Heights, UT · On-site

$43.50 - $57.25/hr

... software test automation engineering * Experience testing banking or financial services applications, including API integrations and interfaces utilizing technologies such as Apigee and Databricks

Sr. Test Automation Engineer

Cottonwood Heights, UT · On-site

$43.50 - $57.25/hr

... software test automation engineering * Experience testing banking or financial services applications, including API integrations and interfaces utilizing technologies such as Apigee and Databricks

Sr. Test Automation Engineer

Cottonwood Heights, UT · On-site

$43.50 - $57.25/hr

... software test automation engineering * Experience testing banking or financial services applications, including API integrations and interfaces utilizing technologies such as Apigee and Databricks

Sr. Test Automation Engineer

Cottonwood Heights, UT · On-site

$43.50 - $57.25/hr

... software test automation engineering * Experience testing banking or financial services applications, including API integrations and interfaces utilizing technologies such as Apigee and Databricks

Sr. Test Automation Engineer

Cottonwood Heights, UT · On-site

$43.50 - $57.25/hr

... software test automation engineering * Experience testing banking or financial services applications, including API integrations and interfaces utilizing technologies such as Apigee and Databricks

Sr. Test Automation Engineer

Cottonwood Heights, UT · On-site

$43.50 - $57.25/hr

... software test automation engineering * Experience testing banking or financial services applications, including API integrations and interfaces utilizing technologies such as Apigee and Databricks

Sr. Test Automation Engineer

Cottonwood Heights, UT · On-site

$43.50 - $57.25/hr

... software test automation engineering * Experience testing banking or financial services applications, including API integrations and interfaces utilizing technologies such as Apigee and Databricks

Sr. Test Automation Engineer

Cottonwood Heights, UT · On-site

$43.50 - $57.25/hr

... software test automation engineering * Experience testing banking or financial services applications, including API integrations and interfaces utilizing technologies such as Apigee and Databricks

Sr. Test Automation Engineer

Cottonwood Heights, UT · On-site

$43.50 - $57.25/hr

... software test automation engineering * Experience testing banking or financial services applications, including API integrations and interfaces utilizing technologies such as Apigee and Databricks

Sr. Test Automation Engineer

Cottonwood Heights, UT · On-site

$43.50 - $57.25/hr

... software test automation engineering * Experience testing banking or financial services applications, including API integrations and interfaces utilizing technologies such as Apigee and Databricks

Sr. Test Automation Engineer

Cottonwood Heights, UT · On-site

$43.50 - $57.25/hr

... software test automation engineering * Experience testing banking or financial services applications, including API integrations and interfaces utilizing technologies such as Apigee and Databricks

Sr. Test Automation Engineer

Cottonwood Heights, UT · On-site

$43.50 - $57.25/hr

... software test automation engineering * Experience testing banking or financial services applications, including API integrations and interfaces utilizing technologies such as Apigee and Databricks

Sr. Test Automation Engineer

Cottonwood Heights, UT · On-site

$43.50 - $57.25/hr

... software test automation engineering * Experience testing banking or financial services applications, including API integrations and interfaces utilizing technologies such as Apigee and Databricks

Sr. Test Automation Engineer

Cottonwood Heights, UT · On-site

$43.50 - $57.25/hr

... software test automation engineering * Experience testing banking or financial services applications, including API integrations and interfaces utilizing technologies such as Apigee and Databricks

Sr. Test Automation Engineer

Cottonwood Heights, UT · On-site

$43.50 - $57.25/hr

... software test automation engineering * Experience testing banking or financial services applications, including API integrations and interfaces utilizing technologies such as Apigee and Databricks

Sr. Test Automation Engineer

Cottonwood Heights, UT · On-site

$43.50 - $57.25/hr

... software test automation engineering * Experience testing banking or financial services applications, including API integrations and interfaces utilizing technologies such as Apigee and Databricks

Sr. Test Automation Engineer

Cottonwood Heights, UT · On-site

$43.50 - $57.25/hr

... software test automation engineering * Experience testing banking or financial services applications, including API integrations and interfaces utilizing technologies such as Apigee and Databricks

Showing results 21-40

Databricks Software information

What is Databricks software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

What are the key skills and qualifications needed to thrive as a Databricks software engineer, and why are they important?

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What are some common challenges faced by Databricks software engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

What job categories do people searching Databricks Software jobs in Utah look for?

The top searched job categories for Databricks Software jobs in Utah are:

What cities in Utah are hiring for Databricks Software jobs?

Cities in Utah with the most Databricks Software job openings:

Infographic showing various Databricks Software job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Contractor

Posted 5 days ago


Job description

A leading Consulting Firm is seeking a Middleware / Integration Engineer for a 6+ month contract-to-hire role.
We are seeking an experienced Middleware / Integration Engineer to design, develop, and modernize secure, scalable, and cloud-ready API, data, and enterprise integration solutions. In this role, you'll work with modern technologies including Python, Apache Kafka, REST APIs, Docker, Kubernetes, and CI/CD automation to build reliable integration services that connect applications, data, and platforms across the enterprise. You'll have the opportunity to strengthen API security, advance event-driven architecture, modernize legacy integration patterns, and improve engineering efficiency through automation and emerging technologies.
The ideal candidate combines strong hands-on software and integration engineering skills with an understanding of API security, event-driven architectures, microservices, containerized deployments, and DevOps practices

Experience with technologies such as Apigee, IBM App Connect Enterprise (ACE), Databricks, and AI-assisted development tools is especially valuable.
Location: Onsite at the client location in the Salt Lake City, UT area
Your future duties and responsibilities
How You'll Make an Impact
As a Middleware / Integration Engineer, you will help modernize the technologies and engineering practices that connect critical enterprise systems. You will:
. Design, develop, test, deploy, and maintain scalable middleware, REST API, data, and enterprise integration services using Python and modern integration patterns.

Develop secure APIs and implement enterprise API security standards, including OAuth/OAuth 2.0, JWT, JWE, HMAC, authentication, authorization, and secure service to service communication.
. Design and implement Kafka based event driven integrations, including producers, consumers, topics, message processing, exception handling, resiliency, and connectivity with enterprise applications.
. Build and deploy containerized middleware and integration services using Docker and Kubernetes, applying cloud native, microservices, scalability, availability, and resiliency best practices.

Design, enhance, and maintain automated CI/CD pipelines, source control practices, automated testing, release automation, and DevOps processes that enable reliable and repeatable software delivery.
. Develop and support REST/JSON based integrations while working with enterprise integration technologies such as Apigee Edge/Hybrid, IBM App Connect Enterprise (ACE), SOAP, XML, XSD, and WSDL where appropriate.
. Troubleshoot complex integration and production issues, conduct root cause analysis, optimize performance, and improve the reliability and observability of production services.

Participate in periodic on call support and collaborate with engineering and operations teams to resolve critical production incidents.
. Partner with application, data, cloud, security, and architecture teams throughout the Agile software development lifecycle to deliver integrated enterprise solutions.
. Evaluate and apply emerging technologies and engineering practices, including AI/GenAI, GitHub Copilot, Databricks, Data as a Service (DaaS), and modern API management capabilities, to improve development efficiency and solution quality.

Contribute to reusable integration patterns, engineering standards, automation, and technical documentation that improve consistency and accelerate future delivery.
Required qualifications to be successful in this role
What You'll Bring
. Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline, along with relevant professional experience in middleware, software engineering, API development, or enterprise integration.
. Strong hands-on development experience with Python, REST APIs, and JSON, including designing, developing, testing, troubleshooting, and supporting enterprise-grade integration services.

Strong knowledge of secure API design and API security technologies, including OAuth/OAuth 2.0, JWT, JWE, HMAC, authentication, authorization, and service-to-service security patterns.
. Hands-on experience with Apache Kafka and event-driven architectures, including developing and supporting message-driven integration solutions.
. Experience building and deploying applications or integration services using Docker, Kubernetes, containers, microservices, and cloud native architectural patterns.

Experience with CI/CD, DevOps, Git/source control, automated testing, and release automation in modern software delivery environments.
. Experience working within Agile and/or SAFe SDLC environments, collaborating effectively with cross-functional engineering teams.
. Strong analytical and troubleshooting capabilities, including experience supporting production systems, performing root cause analysis, and resolving complex integration issues.

Strong written and verbal communication skills with the ability to collaborate effectively across application, data, cloud, infrastructure, security, and architecture teams.
We're especially interested in candidates with experience in:
. Enterprise API management platforms such as Apigee Edge or Apigee Hybrid.
. IBM App Connect Enterprise (ACE) or comparable enterprise integration/middleware platforms.

Enterprise web service technologies including SOAP, XML, XSD, and WSDL.
. Modern data platforms and integration patterns involving Databricks and Data as a Service (DaaS).
. API lifecycle management, governance, reusable integration patterns, and enterprise API standards.

Behavior-Driven Development (BDD) and other automated testing practices.
. Monitoring, observability, performance optimization, and production reliability for distributed integration services.
. AI/GenAI and AI-assisted software engineering tools, including GitHub Copilot.
What Makes You Successful
You'll thrive in this role if you enjoy solving complex integration challenges and working at the intersection of applications, APIs, data, cloud, and security

You bring an engineering mindset to integration?building solutions that are not only functional, but also secure, observable, automated, resilient, and maintainable.
You are comfortable moving between hands on development and production troubleshooting, collaborating with multidisciplinary technical teams, and continuously looking for opportunities to simplify delivery through automation and reusable engineering practices.
If you're excited about modernizing enterprise integration, building secure APIs and event driven solutions, and applying cloud native and AI assisted engineering practices to meaningful technology challenges, we'd like to hear from you.
Education:Employment Type: CONTRACTOR