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Databricks Software Jobs in Orem, UT (NOW HIRING)

BambooHR

Sr. Data Engineer

Draper, UT

$107K - $128K/yr

Collaborate with data analysts, data scientists, ML engineers, software engineers, and business ... Design and manage cloud-based data and ML infrastructure (Databricks preferred), including ...

Domo

Account Executive - Corporate

American Fork, UT · Remote

... Databricks, Google, etc.); * Successful track record closing new clients remotely using technology; * Demonstrated ability to articulate and sell software enterprise solutions; * Ability to work ...

KēSTA I.T.

Sr. Data Engineer

Draper, UT

$115K - $151K/yr

Strong understanding of software design and engineering principles Technical Expertise ... dbt, Databricks or equivalents) * Cloud monitoring and orchestration tools (e.g., Azure Monitor ...

Kforce Technology Staffing

Data Engineer

Draper, UT

$107K - $128K/yr

... software architecture Technical Skills: * Databases: Snowflake, SQL Server * Data Engineering: ETL/ELT, Azure Data Factory, Synapse Analytics, DBT, Databricks * Cloud & Monitoring: Azure Monitor ...

Adobe, Inc.

Sr Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Use SQL, Python, Databricks, Snowflake, and SAP HANA to curate and query large data sets, perform ... Advanced hands-on experience with enterprise business intelligence software applications including ...

Adobe

Sr Data Engineer

Lehi, UT

$107K - $129K/yr

Use SQL, Python, Databricks, Snowflake, and SAP HANA to curate and query large data sets, perform ... Advanced hands-on experience with enterprise business intelligence software applications including ...

Waystar

VP, Data Sciences

Lehi, UT · On-site

This includes the maintenance of hardware, software, networks, databases, and communication systems ... BigQuery, Databricks). * Strong command of SQL, Python, or R for data manipulation and analysis.

Crew Career Center

VP, Data Sciences

Lehi, UT · On-site

This includes the maintenance of hardware, software, networks, databases, and communication systems ... Databricks). Strong command of SQL, Python, or R for data manipulation and analysis. Experience ...

Patientco

VP, Data Sciences

Lehi, UT · On-site

This includes the maintenance of hardware, software, networks, databases, and communication systems ... Databricks). Strong command of SQL, Python, or R for data manipulation and analysis. Experience ...

nCino OpCo

Senior Data Scientist

Lehi, UT

$107K - $183K/yr

Experience developing and deploying models using Databricks and mlflow * Experience with AWS tools and services, including Lambda, Sagemaker, S3, Athena, Quicksight * Experience with Agile software ...

nCino

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Experience developing and deploying models using Databricks and mlflow * Experience with AWS tools and services, including Lambda, Sagemaker, S3, Athena, Quicksight * Experience with Agile software ...

Diversify

Sr. Data & Integrations Engineer

Sandy, UT · On-site

$108K - $130K/yr

Proven expertise designing data warehouses or lakehouse architectures (e.g., Snowflake, Databricks, Redshift) * Strong communicator able to explain complex integration and data concepts to technical ...

Diversify

Sr. Data & Integrations Engineer

Sandy, UT

$108K - $130K/yr

Proven expertise designing data warehouses or lakehouse architectures (e.g., Snowflake, Databricks, Redshift) * Strong communicator able to explain complex integration and data concepts to technical ...

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All JobsDatabricks Software JobsDatabricks Software Jobs in Orem, UT

Databricks Software information

See Orem, UT salary details

$41.7K

$97.2K

$144.3K

How much do databricks software jobs pay per year?

As of Jun 22, 2026, the average yearly pay for databricks software in Orem, UT is $97,235.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,200.00 and $113,000.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like data engineering or cloud engineering at top tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Expertise in platforms like Databricks, strong coding skills, and experience in scalable data solutions are often required for such compensation levels.

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.

Is Databricks a high paying company?

As a company specializing in data analytics and cloud-based platforms, Databricks is known to offer competitive salaries for software roles, often above industry averages, especially for positions requiring skills in Spark, Python, and cloud services. Compensation can vary based on experience, location, and role level, but overall, it is considered a high-paying employer in the tech industry.

How much do Databricks employees make?

Salaries for Databricks software roles vary based on experience, location, and specific position, but the average annual salary for software engineers at Databricks typically ranges from $100,000 to $150,000. Compensation may also include bonuses, stock options, and benefits. Entry-level roles tend to start lower, while senior positions and specialized skills can command higher pay.

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 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 exactly are Databricks jobs?

Databricks jobs are automated tasks or workflows scheduled within the Databricks platform to run data processing, analytics, or machine learning tasks. They typically involve configuring job parameters, dependencies, and schedules using the Databricks workspace or APIs to ensure efficient data pipeline execution.

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 are popular job titles related to Databricks Software jobs in Orem, UT? For Databricks Software jobs in Orem, UT, the most frequently searched job titles are:
What job categories do people searching Databricks Software jobs in Orem, UT look for? The top searched job categories for Databricks Software jobs in Orem, UT are:
Databricks Software jobs near you
Data Engineer - SnapLogic, PoweBI, Databricks *** Direct Client ***

Data Engineer - SnapLogic, PoweBI, Databricks *** Direct Client ***

Projas Technologies, LLC

Lehi, UT

$107K - $129K/yr

Other

Posted 20 days ago

Job description

Overview

A global leader in digital innovation is seeking a highly skilled Business Intelligence and Data Integration professional to join a high-impact operations and analytics team. This organization enables data-driven transformation across sales, post-sales, and customer success functions by delivering scalable data platforms, intelligent automation, and actionable insights.

This team plays a critical role in building modern data ecosystems that empower analytics, streamline operations, and support strategic decision-making.

Role Summary

This role combines advanced analytics, data engineering, and business strategy. The ideal candidate is equally comfortable working with stakeholders to define business needs and designing robust technical solutions to meet those needs.

A strong emphasis is placed on data integration architecture and pipeline orchestration, with SnapLogic as a core platform for building, managing, and scaling enterprise data flows.

You will work cross-functionally with leaders in finance, engineering, data science, and user experience to deliver integrated data solutions and insights that drive measurable business impact.

Key Responsibilities

  • Design and deliver advanced business intelligence dashboards and reporting tools to enable data-driven decision-making across all levels of the organization
  • Architect, develop, and maintain end-to-end data integration pipelines using SnapLogic, including the design of reusable pipelines, error handling mechanisms, and scalable integration frameworks
  • Leverage SnapLogic to integrate data from diverse enterprise systems, APIs, cloud platforms, and databases into centralized data environments
  • Develop and optimize ETL/ELT processes to ensure efficient ingestion, transformation, and availability of high-quality data
  • Build intuitive and impactful data visualizations using modern BI tools, incorporating advanced interactivity features such as drill-through and navigation flows
  • Analyze complex datasets to identify trends, uncover insights, and support strategic business initiatives
  • Utilize technologies such as SQL, Python, Databricks, Snowflake, and SAP HANA to process, analyze, and model large-scale datasets
  • Collaborate with engineering and QA teams to define testing strategies, validation rules, and acceptance criteria for data pipelines and reporting solutions
  • Drive improvements in data quality, governance, and operational efficiency through automation and standardization

Qualifications & Skills

  • 6–10 years of experience in business intelligence, data engineering, or advanced analytics roles
  • Degree (or equivalent experience) in Computer Science, Information Systems, Statistics, or a related field
  • Strong hands-on experience with SnapLogic for building, orchestrating, and optimizing enterprise data integration pipelines (required)
  • Expertise in BI and visualization tools such as Microsoft Power BI, Power Apps, and advanced Excel
  • Advanced proficiency in SQL, including complex queries, data modeling, and performance optimization
  • Experience working with modern data platforms such as Snowflake and Databricks
  • Proficiency in Python for data processing, automation, and analysis
  • Strong understanding of data warehousing concepts, ETL/ELT frameworks, and API-based integrations
  • Proven ability to design intuitive, impactful dashboards and data storytelling experiences
  • Exceptional analytical and problem-solving skills, including hypothesis-driven analysis and insight generation
  • Experience working in cross-functional, global teams with diverse stakeholders
  • Ability to manage multiple priorities in fast-paced environments and deliver high-quality outcomes on time
  • Curiosity-driven mindset with a passion for learning new tools and technologies
  • Self-starter with the ability to lead initiatives through ambiguity

What Sets You Apart

  • Deep expertise in integration platform architecture with SnapLogic as a core competency
  • Ability to translate business problems into scalable data solutions
  • Strong storytelling skills that convert technical findings into actionable insights
  • Ownership mindset with a focus on delivering measurable business results

Commitment to continuous improvement and raising operational standards

Apply