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Data Engineer Contract Jobs in Utah (NOW HIRING)

Deloitte

Project - Data Engineer II

Salt Lake City, UT · On-site

$110K - $133K/yr

As an experienced Data Engineer - Project Delivery Senior Analyst, you will have the ability to ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.

Wipro Limited

Data Analytics L1(CONTRACT)

Santa Clara, UT · On-site

$60K - $148K/yr

Data Analytics L1(CONTRACT) City: Santa Clara State/Province: California Posting Start Date: 7/30 ... Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and ...

Navtech, Inc.

Data Analyst

Salt Lake City, UT · On-site

Salt Lake City/UT Duration : 12 Months Contract : Requirements : * Degree - Candidate must possess ... Azure Data Engineering, Azure DBA, Azure Developer or others related to the position * Domain ...

KIHOMAC

Data Management Analyst

Layton, UT

Plan, coordinate, track, review, and deliver all Contract Data Requirements List (CDRL) and ... Provide support to Project Manager, Contracting, or senior-level Engineering personnel in the areas ...

KIHOMAC

Data Management Analyst

Layton, UT · On-site

Plan, coordinate, track, review, and deliver all Contract Data Requirements List (CDRL) and ... Provide support to Project Manager, Contracting, or senior-level Engineering personnel in the areas ...

KIHOMAC

Data Management Analyst

Layton, UT · On-site

Plan, coordinate, track, review, and deliver all Contract Data Requirements List (CDRL) and ... Provide support to Project Manager, Contracting, or senior-level Engineering personnel in the areas ...

iNovex Information Systems

Data Scientist 2

Ogden, UT · On-site

Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne ... Join us on this journey as we execute this mission-critical contract providing high-end analytics ...

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All JobsData Engineer Contract JobsData Engineer Contract Jobs in Utah

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 6, 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:
Data Engineer Contract jobs near you
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.

Sr. Data Engineer

Login Consulting Services Inc.

Salt Lake City, UT • On-site

$111K - $133K/yr

Contractor

Posted 15 days ago

Job description

A leading Consulting Firm is seeking a Senior Data Engineer (Databricks & Cloud Analytics) for a 6 month contract to hire role onsite in Salt Lake City, UT.
Are you passionate about building modern data platforms that enable organizations to make smarter, faster decisions? Do you thrive on solving complex engineering challenges using cloud technologies, big data frameworks, and modern analytics platforms?
The client is seeking an experienced **Senior Data Engineer (Databricks & Cloud Analytics)** to join our growing team in **Salt Lake City, UT**. In this role, you will partner with solution architects, business analysts, data scientists, and client stakeholders to design, develop, and support enterprise-scale data solutions that power mission-critical business initiatives for commercial and public sector clients.
As a trusted technical consultant, you'll leverage technologies including **Databricks, Apache Spark (PySpark), Azure Data Factory, Azure Data Lake, Kafka, Python, SQL, Scala, and cloud-native services** to build high-performance data pipelines, modern integrations, and scalable analytics platforms.
This is an excellent opportunity for an engineer who enjoys combining technical expertise with business problem-solving while working in a collaborative Agile environment focused on innovation, quality, and continuous improvement.
This position is based onsite at a client location in the **Salt Lake City, UT** area.
Your future duties and responsibilities
How you'll make an impact
As a Senior Data Engineer, you will play a critical role in designing, implementing, and supporting secure, scalable, and high-performing enterprise data platforms.
Responsibilities include:
* Design, develop, test, deploy, and maintain enterprise data engineering solutions using modern cloud and big data technologies.
* Design and implement scalable ETL/ELT pipelines utilizing **Databricks, Apache Spark (PySpark), Delta Lake, and Azure Data Factory**.
* Build high-performance data ingestion, transformation, and integration frameworks supporting enterprise analytics and reporting.
* Develop, optimize, and maintain complex SQL queries, stored procedures, and data transformation processes.
* Design and implement scalable data models supporting business intelligence, analytics, and AI initiatives.
* Build and integrate RESTful APIs, event-driven architectures, and legacy SOAP services to facilitate seamless enterprise data exchange.
* Develop and maintain streaming and messaging solutions using **Apache Kafka**.
* Monitor, troubleshoot, and optimize production data pipelines while performing root cause analysis and implementing long-term solutions.
* Implement data quality, governance, security, and performance best practices across enterprise platforms.
* Manage source code using Git while following CI/CD and enterprise DevOps best practices.
* Collaborate with Solution Architects, Product Owners, Business Analysts, and cross-functional engineering teams to translate business requirements into technical solutions.
* Participate in Agile ceremonies including sprint planning, backlog refinement, architecture discussions, code reviews, and retrospectives.
* Create technical documentation, deployment artifacts, testing documentation, and operational runbooks.
* Mentor junior engineers and contribute to engineering standards, best practices, and continuous improvement initiatives.
Required qualifications to be successful in this role
What you'll bring
We're looking for an experienced engineer who enjoys solving complex technical challenges while delivering modern cloud-based data solutions.
* Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline (or equivalent professional experience)
* 6+ years** of experience designing, developing, and supporting enterprise data platforms, cloud analytics solutions, or large-scale data engineering initiatives
Strong hands-on experience with:
* Databricks
* Apache Spark (PySpark)
* Python
* SQL
* Scala
Experience working with the Databricks ecosystem, including:
* Databricks Workspaces
* Delta Lake
* Unity Catalog
* Delta Live Tables (DLT)
* Databricks SQL
* MLflow
* Databricks Jobs
* Strong SQL development experience, including query optimization and performance tuning
* Experience designing and implementing ETL/ELT solutions using Azure Data Factory or comparable cloud integration platforms
* Experience with Apache Kafka or other event streaming technologies
* Experience integrating enterprise applications using REST APIs, JSON, XML, and SOAP web services
* Experience with Azure Data Lake Storage (ADLS Gen2) or comparable cloud storage platforms
* Experience using Git for source code management and collaborative software development
* Experience working within Linux environments, including shell scripting and command-line utilities
* Familiarity with Infrastructure as Code (IaC) tools such as Terraform is preferred
* Experience implementing CI/CD pipelines using Azure DevOps, GitHub Actions, or similar DevOps platforms is preferred
* Strong analytical, troubleshooting, and problem-solving skills
* Experience working in Agile environments utilizing Scrum, Kanban, or SAFe methodologies
* Demonstrated ability to manage multiple priorities while delivering high-quality solutions
* Proven ability to work independently while mentoring teammates and contributing to technical leadership
Desired Skills:
The ideal candidate will also possess experience with one or more of the following:
* Microsoft Azure cloud services
* Azure Synapse Analytics
* Microsoft Fabric
* Power BI
* Data governance and metadata management
* DataOps and MLOps practices
* Enterprise data warehousing
* Master Data Management (MDM)
* Financial services or public sector data environments
Communication & Collaboration
Successful candidates will demonstrate the ability to:
* Clearly communicate complex technical concepts to both technical and non-technical audiences.
* Collaborate effectively with architects, developers, business analysts, product owners, and client stakeholders.
* Build trusted relationships across cross-functional teams while delivering innovative, high-quality solutions.
* Foster a culture of knowledge sharing, continuous learning, and engineering excellence.