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Contract Databricks Developer Jobs in Utah (NOW HIRING)

Saransh Inc

Cloud FinOps SME

Lehi, UT · On-site

$52.25 - $70/hr

Contract The Hiring Manager clearly stated the role is FinOps-heavy, not a technical engineering role. Platforms: Primary * Databricks (must have) * Azure cloud environment Secondary * AWS exposure

Kforce Technology Staffing

Senior Data Engineer

Draper, UT · On-site

$99.10K - $134.60K/yr

Python, Scala, Java, VB (or similar) * CI/CD & DevOps: Azure DevOps, CI/CD pipelines ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

nCino

Senior Data Scientist

Lehi, UT · On-site

$107.90K - $183.40K/yr

... programming (OOP), error handling, logging, contract testing, and version control Desired ... Experience developing and deploying models using Databricks and mlflow * Experience with AWS tools ...

nCino OpCo

Senior Data Scientist

Lehi, UT · On-site

$107.90K - $183.40K/yr

... programming (OOP), error handling, logging, contract testing, and version control Desired ... Experience developing and deploying models using Databricks and mlflow * Experience with AWS tools ...

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Contract Databricks Developer information

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

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.

What are some common challenges faced by Contract Databricks Developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What is the difference between Contract Databricks Developer vs Data Engineer?

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

What are the most commonly searched types of Databricks Developer jobs in Utah? The most popular types of Databricks Developer jobs in Utah are:
What are popular job titles related to Contract Databricks Developer jobs in Utah? For Contract Databricks Developer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Developer jobs in Utah look for? The top searched job categories for Contract Databricks Developer jobs in Utah are:
What cities in Utah are hiring for Contract Databricks Developer jobs? Cities in Utah with the most Contract Databricks Developer job openings:
Contract Databricks Developer jobs near you
Infographic showing various Contract Databricks Developer job openings in Utah as of May 2026, with employment types broken down into 3% As Needed, 7% Full Time, 80% Part Time, 3% Temporary, and 7% Contract. Highlights an 26% Physical, 3% Hybrid, and 71% Remote job distribution.

Cloud FinOps SME

Saransh Inc

Lehi, UT • On-site

$52.25 - $70/hr

Contractor

Posted 20 days ago

Job description

Role: Cloud FinOps SME
Location: San Jose, CA or Lehi, UT (Hybrid - 2 to 3 days a week onsite is must)
Job Type: Contract
 

The Hiring Manager clearly stated the role is FinOps-heavy, not a technical engineering role.
 
 
Platforms:
Primary
  • Databricks (must have)
  • Azure cloud environment
Secondary
  • AWS exposure
  • Power BI optimization and monitoring
Must Have:
  • Strong FinOps / cloud cost management experience
  • Databricks platform experience
  • Ability to manage cloud cost optimization and governance
  • Excellent communication skills (role interacts with many departments and directors)
  • Candidate must be comfortable discussing financial topics and communicating with multiple stakeholders.
  • Technical engineering background
  • Experience optimizing Power BI
  • Ability to create backlog, epics, and stories for improvement initiatives.
Agile / Scrum Expectation
~Not a dedicated Scrum Master role.

Candidate can:
~Help create backlog of cost optimization initiatives
~Define epics/stories
~Prioritize improvements with the manager.
 
 
candidates who are primarily on below (please avoid):
Data Engineers
DevOps Engineers
Cloud Architects without FinOps experience
Finance analysts without cloud platform experience