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Databricks Engineer Jobs in Orem, UT (NOW HIRING)

Data Science Engineer

Lehi, UT · On-site

$107K - $129K/yr

Databricks,AWS, Snowflake) * Understanding of machine learning techniques, specifically involving ... engineering preferred, or related work experience * Knowledge of Microsoft Office, specifically ...

We are looking for a visionary Staff Data Platform Engineer to lead the design, architecture, and ... Snowflake or Databricks experience is a plus. * Technical Excellence: Ability to write clean ...

We are looking for a visionary Staff Data Platform Engineer to lead the design, architecture, and ... Snowflake or Databricks experience is a plus. * Technical Excellence: Ability to write clean ...

We are looking for a visionary Staff Data Platform Engineer to lead the design, architecture, and ... Snowflake or Databricks experience is a plus. * Technical Excellence: Ability to write clean ...

Data Architect

Draper, UT · On-site

$59.50 - $76.75/hr

You'll collaborate with data engineers, developers, and architects to design and implement modern ... Stay ahead of Microsoft's evolving Data & AI platform (Azure, Fabric, Databricks, Synapse, SQL ...

Sr. Data Governance Engineer

Draper, UT

$99K - $134K/yr

Manage relationships with business, product, and engineering data owners * Partner with enterprise ... Familiarity with Databricks, DBT, Snowflake, Claude code, Codex, Windsurfer * Experience with data ...

Lehi, UT THE ROLE As a Full-Stack Developer at Opiniion, you'll help build and improve the products ... Databricks or Spark SQL experience. * Experience with MongoDB or other NoSQL data sources. OUR ...

... programming languages • Proficient creating machine learning, predictive modeling, and advanced ... Databricks and mlflow • Experience with AWS tools and services, including Lambda, Sagemaker, S3 ...

Sr. Technical Product Manager

Lehi, UT · On-site

$161 - $170/hr

... data engineering organizations on data platform initiatives, including familiarity with modern warehouse and transformation tooling such as Snowflake, Databricks, dbt, or similar technologies.

Lead and develop data analysts, analytics engineers, and technical leads. * Own financial data ... Banking, financial data, Databricks, Python, CI/CD, cloud infrastructure, dbt, and enterprise data ...

Lead and develop data analysts, analytics engineers, and technical leads. * Own financial data ... Banking, financial data, Databricks, Python, CI/CD, cloud infrastructure, dbt, and enterprise data ...

Lead and develop data analysts, analytics engineers, and technical leads. * Own financial data ... Banking, financial data, Databricks, Python, CI/CD, cloud infrastructure, dbt, and enterprise data ...

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Sr Manager, Product Analytics

Lehi, UT

$118K - $156K/yr

We seek passionate, innovative engineers eager to transform the daily lives of millions through ... Familiarity with cloud (e.g., AWS, GCP) and big data platforms/tools (e.g., Databricks, Hadoop)

Showing results 41-60

Databricks Engineer information

See Orem, UT salary details

$51.7K

$97K

$176.5K

How much do databricks engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for databricks engineer in Orem, UT is $97,049.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $115,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data architecture can earn higher compensation, often exceeding $160,000 per year.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks engineer?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.
What are popular job titles related to Databricks Engineer jobs in Orem, UT? For Databricks Engineer jobs in Orem, UT, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Orem, UT look for? The top searched job categories for Databricks Engineer jobs in Orem, UT are:
What cities near Orem, UT are hiring for Databricks Engineer jobs? Cities near Orem, UT with the most Databricks Engineer job openings:

Senior Engineer Core Infrastructure

JetBlue Airways Corporation

Salt Lake City, UT • On-site

$104K - $142K/yr

Full-time

Medical, Life, Retirement

Posted 21 days ago


JetBlue rating

7.4

Company rating: 7.4 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

11th of 26 rated airlines


Job description

Position Summary:

The Senior Core Infrastructure Engineer - is focused on ensuring the creation and management of Infrastructure including managing operational stability, performance, and cost-efficiency of our cloud-hosted data infrastructures, serving both internal and external users. The Senior Core Infrastructure Engineer excels when working on complex projects, is motivated to deliver results, and exhibits the JetBlue values of Safety, Caring, Integrity, Passion, and Fun.

Essential Responsibilities:

  • Be part of a team responsible for building and supporting scalable cloud infrastructure leveraging Azure and AWS environments.
  • Responsible for supporting the cloud environment including but not limited to troubleshooting issues related to cloud PAAS resources, cloud networking and cloud Infrastructure.
  • Work in partnership with product, data operations, and technical leadership to align engineering activities with broader company goals.
  • Expertise in cloud platforms, especially Azure and AWS, leveraging services like AKS/EKS Azure Data Lake/ Glacier, CosmosDB / DynamoDB, Neo4j, and Azure AI/ML services.
  • Strong knowledge of DevOps practices and tools such as continuous integration (CI)/continuous delivery (CD), Git, Jenkins, Ansible, and Terraform for infrastructure automation.
  • Set up and manage effective observability solutions for data and platform services, ensuring operational excellence.
  • Strong foundation in data infrastructure tooling (e.g., Spark, Airflow, Databricks) and machine learning platforms, with a focus on Azure Machine Learning, and Neo4j for graph data analysis.
  • Collaborate with Data Engineers, Developers, Product Engineers and SRE's to build and support experimentation platforms, training frameworks, and associated tools.
  • Ability to navigate complex and ambiguous environments, while maintaining a broad business-wide perspective across various work-streams and timeframes.
  • Ensure platform security, compliance, and governance practices, including managing identity and access management (IAM) roles, encryption, auditing, and logging protocols.
  • Manage significant system upgrades, enhancements, migrations, and integration, while overseeing the release of new software to quality assurance (QA), production, and disaster recovery environments.
  • Maintain system compliance with regulatory controls such as Sarbanes-Oxley Act (SOX), Payment Card Industry (PCI), IT General Controls, and other required security frameworks.
  • Advocate, train, and provide technical support on new technologies related to AI/ML and data infrastructure.
  • Take a significant role in the development of team members to support engagement, growth, and achievement of goals.
  • Other duties as assigned.

Minimum Experience and Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related technical field; OR demonstrated capability to perform job responsibilities with a combination of a High School Diploma/GED and at least four (4) years of previous relevant work experience.
  • Three (3) years of experience building and supporting cloud infrastructure using best practices from the ground up.
  • Ability to write high-quality code in Python.
  • Proficiency with containerization technologies such as Kubernetes, Docker, and infrastructure-as-code tools like Terraform and Helm.
  • Experience with relational and low-latency databases, as well as a solid understanding of data lake strategies.
  • Knowledge of cloud infrastructure and networking concepts with experience in troubleshooting issues related to the same.
  • Provide 24x7 on-call support as scheduled and be available to respond to business-critical issues.
  • Ability to work flexible hours in response to emergencies.
  • Available for overnight travel (10%).
  • Must pass a pre-employment drug test.
  • Must be legally eligible to work in the country where the position is located.
  • Authorization to work in the US is required. This position is not eligible for visa sponsorship.

Preferred Experience and Qualifications:

  • Experience working on sensitive data projects with PCI/personally identifiable information (PII) compliance.
  • Proven experience building Cloud infrastructure in Azure and AWS from the ground up using Terraform/OpenTofu.
  • Familiarity with Azure/AWS cloud security best practices and data governance frameworks.

Crewmember Expectations:

  • Regular attendance and punctuality.
  • Potential need to work flexible hours and be available to respond on short notice.
  • Able to maintain a professional appearance.
  • When working or traveling on JetBlue flights, and if time permits, all capable crewmembers are asked to assist with light cleaning of the aircraft.
  • Must be an appropriate organizational fit for the JetBlue culture, that is, exhibit the JetBlue values of Safety, Caring, Integrity, Passion and Fun.
  • Must fulfill safety accountabilities as prescribed by JetBlue's Safety Management System.
  • Promote JetBlue's #1 value of safety as a Safety Ambassador, supporting JetBlue's Safety Management System (SMS) components, Safety Policy, and behavioral standards.
  • Identify safety and/or security concerns, issues, incidents or hazards that should be reported and report them whenever possible and by any means necessary including JetBlue's confidential reporting systems (Aviation Safety Action Program (ASAP) or Safety Action Report (SAR)).
  • Responsible for adhering to all applicable laws, regulations (FAA, OSHA, DOT, etc.) and Company policies, procedures and risk controls. 
  • Uphold JetBlue's safety performance metric goals and understand how they relate to their duties and responsibilities.
  • The use of ChatGPT or any other automated tool during the interview process will disqualify a candidate from being considered for the position.

Equipment:

  • Computer and other office equipment.

Work Environment:

  • Traditional office environment.

Physical Effort:

  • Generally not required or up to 10 pounds occasionally (sedentary).

Compensation:

  • The base pay range for this position is between $105,600.00 and $150,400.00 per year. Base pay is one component of JetBlue's total compensation package, which may also include access to healthcare benefits, a 401(k) plan and company match, crewmember stock purchase plan, short-term and long-term disability coverage, basic life insurance, free space available travel on JetBlue, and more.

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