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Databricks Software Jobs in Utah (NOW HIRING)

Senior Data Scientist

Lehi, UT

$107.90K - $183.40K/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

$107.90K - $183.40K/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 ...

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Senior Data Engineer - Data Products & AI

Lehi, UT · On-site

$99.50K - $135.20K/yr

Lead the design and development of robust software solutions, ensuring high-quality code, thorough ... Extensive experience with modern data platforms and tools, particularly Databricks, Azure, and ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

... 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 ...

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Databricks Software information

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 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 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 Utah? For Databricks Software jobs in Utah, the most frequently searched job titles 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 May 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, 7% Hybrid, and 7% Remote job distribution.

$107.90K - $183.40K/yr

Full-time

Posted 22 days ago


Job description

nCino offers exciting career opportunities for individuals who want to join the worldwide leader in cloud banking.


Are you a highly motivated problem solver looking for a challenge? Do you want to make a significant impact on complex banking problems and be a driving force in the AI revolution in banking? Then look no further! Our Data & AI team is seeking a Senior Data Scientist to join us in building intelligent automation and insights into our products.
As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify high-impact business challenges and opportunities, analyze complex datasets, extract meaningful insights, and develop/deploy/monitor data-driven solutions. Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be instrumental in driving data-driven products and services across the banking industry.


 

Essential Functions:

  • Applies developed knowledge and understanding of building large-scale machine learning, predictive modeling, and advanced analytics tools; proficient in multiple data-related programming languages

  • Proficient creating machine learning, predictive modeling, and advanced analytics tools tailored to solve business problems

  • Experience in large data sets and algorithms

  • Considers and analyzes information from multiple data sources, including experience and input from others when determining the best approach for routine and non-routine problems

  • Ability to prototype ideas and demonstrate pros and cons in a clear and concise manner

  • Understanding of data science priorities and how each contributes to the success of nCino

  • Demonstrates ability to acquire domain knowledge of the business and effectively applies this expertise to inform model development and problem-solving approaches

  • Extensive experience in developing, deploying, and monitoring complex machine learning models

  • Lead and guide teams in implementing programming best practices and adopting emerging technologies

  • Leverage AI tools and techniques to enhance software development activities, including code generation, testing, debugging, and optimization.

  • Apply AI insights to identify patterns, automate repetitive tasks, and improve overall development efficiency and product quality.

  • Evaluate and integrate AI/ML capabilities where appropriate to strengthen product functionality and user experience.

  • Maintain awareness of emerging AI trends and best practices to inform continuous learning and innovation.

Qualifications:

Required:

  • Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science or a related field with 5+ years of related experience or combination of experience and education

  • Demonstrated mastery of programming skills in Python or R

  • Experience with data visualization tools (DOMO, AWS Quicksight, Tableau, etc.)

  • Demonstrated mastery of machine learning algorithms and techniques

  • Strong problem-solving skills and ability to work independently and collaboratively

  • Strong experience with SQL or noSQL and database management systems

  • Experience deploying and monitoring models in production

  • Strong understanding of the business domain

  • Ability to translate business questions into analytics projects and deliver actionable insights

  • Flexibility and the ability to be productive in a fast-paced, team environment

  • Excellent verbal and written communication skills for technical and non-technical audiences

  • Familiarity with production code practices, including unit testing, object-oriented programming (OOP), error handling, logging, contract testing, and version control

Desired:

  • Advanced degree in Data Science, Statistics, Mathematics, Computer Science or a related field

  • 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 development


 

If you thrive in a high-energy, entrepreneurial environment, we invite you to share your passion, ideas and excitement at nCino.


 

The pay range for this role is based on relative market data and alignment with our compensation philosophy. The range displayed reflects the minimum and maximum of the pay range for each job posting, which is used to determine new hire rates/salaries and takes into consideration multiple factors including but not limited to knowledge, skills, abilities, proficiencies, experience, education, licensures/certifications, as well as business and organizational needs. nCino reserves the right to modify the posted range consistent with our internal practices and external market movement. The recruiter for this job posting can share more compensation details during the recruitment process, as base salary is only one component of the total compensation package per position posted.

The base salary range for this job is:

$107,900.00 - $183,400.00

nCino provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, genetics or other protected groups. In addition to federal law requirements, nCino complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

nCino is committed to the full inclusion of all qualified individuals. As part of this commitment, nCino will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us at recruiting@ncino.com.

Our commitment to inclusion and equality includes a strong belief that the diversity of our team is instrumental to our success. We strive to create workplaces where employees are empowered to bring their authentic selves to work.