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Databricks Software Jobs in Orem, UT (NOW HIRING)

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.

VP, Data Sciences

Lehi, UT · On-site

$130 - $160/hr

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.

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 ...

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 ...

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 ...

Data Engineer

Draper, UT

$107K - $128K/yr

Experience with orchestration tools such as Apache Airflow, Azure Data Factory, Databricks, or Apache Spark. * Experience integrating AI/ML services (e.g., OCR, NLP, Azure Cognitive Services) for ...

Sr. Data Engineer

Draper, UT · Hybrid

$107K - $128K/yr

Design and manage cloud-based data and AI infrastructure (Databricks preferred), including ... Proficiency with Git-based development workflows and collaborative software engineering practices ...

Data Engineer

Draper, UT · On-site

$107K - $128K/yr

Experience with orchestration tools such as Apache Airflow, Azure Data Factory, Databricks, or Apache Spark. * Experience integrating AI/ML services (e.g., OCR, NLP, Azure Cognitive Services) for ...

Data Science Engineer

Lehi, UT · On-site

$107K - $129K/yr

Databricks,AWS, Snowflake) * Understanding of machine learning techniques, specifically involving supervised learning applied to time-series analysis * Proficiencywith data visualization tools (e.g.

Staff Data Platform Engineer

Lehi, UT · On-site

$130 - $160/hr

... software engineering with a "Data Fanatic" mindset * Cloud Mastery: Strong expertise in cloud ... Snowflake or Databricks experience is a plus * Technical Excellence: Ability to write clean ...

... software engineering with a "Data Fanatic" mindset. * Cloud Mastery: Strong expertise in cloud ... Snowflake or Databricks experience is a plus. * Technical Excellence: Ability to write clean ...

... software engineering with a "Data Fanatic" mindset. * Cloud Mastery: Strong expertise in cloud ... Snowflake or Databricks experience is a plus. * Technical Excellence: Ability to write clean ...

... software engineering with a "Data Fanatic" mindset. * Cloud Mastery: Strong expertise in cloud ... Snowflake or Databricks experience is a plus. * Technical Excellence: Ability to write clean ...

... Databricks or similar). * Deep understanding of MLOps best practices--experiment tracking ... Join us in creating HR software that makes work better for everyone, while we make work better for ...

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Showing results 41-55

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 Aug 23, 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 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 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:

VP, Data Sciences

Waystar

Lehi, UT • On-site

Full-time

Medical, Retirement, PTO

Re-posted 8 days ago


Job description

ABOUT THIS POSITION
The Information Technology function is responsible for managing and overseeing the technology infrastructure that that supports the organization's operations. This includes the maintenance of hardware, software, networks, databases, and communication systems; ensuring that these systems are secure, efficient, and capable of supporting business objectives. Key responsibility areas include infrastructure management, software and systems maintenance and development, data management and security, technical support, and strategic planning and innovation. The Data Management & Analytics area is responsible for multiple aspects of data management and operations for the firm, including database administration and design, business intelligence and data architecture, data analytics, governance, and quality. The Data Management & Analytics - Executive focus specializes in overseeing the design, development, and operation of the technology architecture and infrastructure for the organizing, storage, retrieval, processing and analysis of data and information for internal and external clients in a sub-part of the overall organization (e.g., Group, Region, Division, Country) or is one of several executives responsible for oversight of the area at the Corporate level. Develops and implements enterprise and client-facing data management strategies to collect, store and increase usability and quality of enterprise and client data from multiple diverse sources.
WHAT YOU'LL DO
* **Strategic Leadership:** Defining and executing Waystar's overall data strategy, including data governance, data quality, data architecture, and data analytics roadmap to support business objectives.
* **Team Management & Development:** Building, mentoring, and leading a high-performing team of data engineers, data scientists, and data analysts, fostering a culture of innovation, collaboration, and continuous improvement.
* **Data Governance & Compliance:** Establishing and enforcing robust data governance policies, standards, and procedures to ensure data accuracy, security, privacy, and compliance with relevant regulations (e.g., HIPAA, GDPR, CCPA).
* **Data Platform & Architecture:** Overseeing the design, development, and maintenance of scalable and robust data platforms, data warehouses, data lakes, and analytical tools. Evaluating and implementing new data technologies and solutions.
* **Advanced Analytics & Reporting:** Driving the development and deployment of advanced analytical models, machine learning algorithms, and predictive insights to inform strategic decisions across various departments (e.g., product, marketing, finance, operations).
* **Stakeholder Collaboration:** Partnering closely with business leaders and cross-functional teams to understand their data needs, identify opportunities for data-driven improvements, and translate business requirements into technical solutions.
* **Performance Monitoring & Optimization:** Establishing key performance indicators (KPIs) for data initiatives, monitoring data quality, and optimizing data processes for efficiency and effectiveness.
* **Budget Management:** Managing budgets for data management and analytics initiatives, ensuring optimal resource allocation and ROI.
WHAT YOU'LL NEED
* **Education:** Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field. Master's degree or Ph.D. preferred.
* **Experience:**
* 10+ years of progressive experience in data management, data warehousing, business intelligence, and advanced analytics, with at least 5 years in a leadership role managing large teams.
* Proven experience in defining and implementing data strategies and roadmaps in a complex organizational environment.
* Demonstrated success in building and scaling data platforms and analytics capabilities from the ground up.
* **Technical Skills:**
* Expertise in data modeling, ETL/ELT processes, and data warehousing concepts.
* Proficiency with cloud data platforms (e.g., AWS, Azure, GCP) and related services (e.g., Redshift, Snowflake, BigQuery, Databricks).
* Strong command of SQL, Python, or R for data manipulation and analysis.
* Experience with business intelligence tools (e.g., Tableau, Power BI, Looker) and data visualization techniques.
* Familiarity with machine learning frameworks and statistical modeling.
* **Leadership & Soft Skills:**
* Exceptional leadership, communication, and interpersonal skills with the ability to influence and collaborate effectively with stakeholders at all levels.
* Strong strategic thinking and problem-solving abilities, with a track record of delivering measurable business impact through data.
* Demonstrated ability to attract, develop, and retain top data talent.
* Experience in the healthcare technology or financial technology industry is a significant plus.
* Ability to navigate complex technical and business challenges and drive initiatives to successful completion.
ABOUT WAYSTAR
Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.
Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.
Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar on Twitter.
WAYSTAR PERKS
  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.