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Data Engineer Contract Jobs in Utah (NOW HIRING)

... programming (OOP), error handling, logging, contract testing, and version control Preferred : • Advanced degree in Data Science, Statistics, Mathematics, Computer Science or a related field • ...

Raytheon brings the strength of more than 100 years of experience and renowned engineering ... Identifies all data deliverables made part of a contract and subsequently builds a data track in a ...

New

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Our Data & AI team is seeking a Senior Data Scientist to join us in building intelligent automation ... programming (OOP), error handling, logging, contract testing, and version control Desired:

Our Data & AI team is seeking a Senior Data Scientist to join us in building intelligent automation ... programming (OOP), error handling, logging, contract testing, and version control Desired:

Senior Data Scientist

Lehi, UT · On-site

$107.90 - $183.40/hr

Lead teams in implementing programming best practices and adopting emerging technologies ... Familiarity with production code practices (unit testing, OOP, error handling, logging, contract ...

New

## Senior Paid Media Manager (Contract)Applylocations: Lehi UT HQtime type: Full timeposted on: Posted ... ops, and data engineering to ensure feed accuracy and completeness* **Performance Reporting ...

Showing results 41-60

Data Engineer Contract information

See Utah salary details

$40.5K

$118.1K

$161.6K

How much do data engineer contract jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data engineer contract in Utah is $118,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $125,200.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a data engineer contract?

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.

What are the key skills and qualifications needed to thrive in the data engineer contract position, and why are they important?

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

What is a data engineer contract?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

What are the most commonly searched types of Data Engineer jobs in Utah? The most popular types of Data Engineer jobs in Utah are:
What are popular job titles related to Data Engineer Contract jobs in Utah? For Data Engineer Contract jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Data Engineer Contract jobs in Utah look for? The top searched job categories for Data Engineer Contract jobs in Utah are:
What cities in Utah are hiring for Data Engineer Contract jobs? Cities in Utah with the most Data Engineer Contract job openings:
Infographic showing various Data Engineer Contract job openings in Utah as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $118,090 per year, or $56.8 per hour.

Senior Data Scientist

nCino

Lehi, UT • On-site

Full-time

Re-posted 28 days ago


Job description

Job Summary:
nCino is a leader in cloud banking, seeking a Senior Data Scientist to join their Data & AI team. The role involves collaborating with stakeholders to analyze datasets, extract insights, and develop data-driven solutions to enhance banking products and services.
Responsibilities:
• 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
Preferred:
• 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
Company:
nCino provides a cloud banking platform that helps financial institutions modernize their operations and improve the customer experience. Founded in 2012, the company is headquartered in Wilmington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.