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Part Time Data Engineering Jobs in Utah (NOW HIRING)

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location: American Fork, Utah (In Office) About Us: Brevium is a dynamic and innovative healthcare technology company located in ...

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound engineering principles and be able to communicate complex engineering issues and concepts to technical and ...

Senior Staff Engineer - Part time

Midvale, UT · On-site

$98K - $135K/yr

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound engineering principles and be able to communicate complex engineering issues and concepts to technical and ...

Quality Engineer, Part-Time

Ogden, UT · On-site

$70K - $91K/yr

... Acceptance Data Packages, etc. * Support the preparation, evaluation, and assessment of ... Must have a bachelor's degree in the field of engineering or a related field. * Must have 5+ years ...

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Part Time Data Engineering information

What are the key skills and qualifications needed to thrive as a Part Time Data Engineer, and why are they important?

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

What is a part-time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

How does a part-time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

What is the difference between Part Time Data Engineering vs Part Time Data Analysis?

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

What are the most commonly searched types of Data Engineering jobs in Utah? The most popular types of Data Engineering jobs in Utah are:
Infographic showing various Part Time Data Engineering job openings in Utah as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

$40 - $50/hr

Full-time, Part-time

Posted 8 days ago


Job description

Data Engineer DBA
FT / PT Status - Full-Time
Salary - $40.00 - $50.00 Hourly Wage
Remote Work / In-Office - HybridRecruiter - Elida Barrera ebarrera@utah.gov 385-295-7911
Application Deadline - 8/12/2026*
*This job posting may close at any time after the minimum advertising period of three (3) business days has passed, should a sufficient applicant pool be received. Applicants are encouraged to apply as early as possible.
Key Responsibilities
Data Engineer / Microsoft SQL Database Administrator
The Utah State Board of Education (USBE) is seeking a skilled Data Engineer / Microsoft SQL Database Administrator to design, maintain, and improve our organization's data systems and cloud data infrastructure. This position combines Microsoft SQL Server database administration with modern data engineering responsibilities, including data pipeline development, cloud data lake management, database performance optimization, and support for analytics and reporting.
The successful candidate will have strong experience with Microsoft SQL Server, T-SQL, and database administration best practices, as well as hands-on knowledge of Microsoft cloud data technologies including Azure Cosmos DB, Azure Data Lake Storage, and Microsoft Fabric. This role works closely with analysts, application developers, business users, and IT staff to ensure data is secure, reliable, accurate, well-organized, and available for operational and strategic decision-making.
RESPONSIBILITIES:
  • Administer, monitor, secure, and maintain Microsoft SQL Server databases across development, testing, and production environments.
  • Monitor database performance, identify bottlenecks, and implement tuning strategies for SQL Server workloads.
  • Manage database backups, restores, disaster recovery procedures, maintenance plans, and high-availability solutions.
  • Build, maintain, and troubleshoot ETL processes that integrate data from multiple systems.
  • Design and support data pipelines using tools such as SQL Server Integration Services, Azure Data Factory, Microsoft Fabric pipelines, notebooks, or similar technologies.
  • Work with Azure Cosmos DB to support NoSQL data storage, querying, indexing, partitioning, performance monitoring, and integration with downstream data platforms.
  • Support Microsoft Fabric OneLake environment, including lakehouses, warehouses, pipelines, notebooks, semantic models, and integration with Power BI.
  • Ensure data integrity, quality, privacy, security, and compliance with organizational policies and applicable regulations.
  • Collaborate with technical and non-technical stakeholders to understand data needs and deliver effective solutions.
  • Assist with database migrations, upgrades, automation, modernization efforts, and cloud data platform initiatives.
  • Promote best practices for data governance, data access, metadata management, and secure data sharing.

Qualifications
IDEAL CANDIDATE:
  • Associate degree or higher in Computer Science, Information Systems, Data Engineering, Data Analytics, or a related field, preferred; equivalent professional experience may be considered.
  • Professional experience in database administration, data engineering, database development, or related technical role.
  • Strong experience with Microsoft SQL Server database administration.
  • Strong proficiency in T-SQL, including complex queries, stored procedures, functions, views, indexing, and query optimization.
  • Experience designing, maintaining, and troubleshooting relational database structures.
  • Experience with database backup and recovery, performance tuning, monitoring, indexing, security, and access management.
  • Experience developing and supporting ETL/ELT processes and data pipelines. SSIS and Azure Data Factory experience a must.
  • Experience working with Azure Cosmos DB, including NoSQL data models, partitioning concepts, indexing, querying, and integration with other data systems.
  • Experience working with Azure Data Lake Storage, including storage organization, security, file formats, and data lifecycle management.
  • Understanding of modern cloud data architecture patterns, including delta lakes, lakehouses, warehouses, and medallion-style data organization.
  • Familiarity with data quality, data governance, data privacy, and secure data access practices. Informatica experience is a plus.
  • Ability to troubleshoot complex database design, data integration, and cloud data platform issues.
  • Strong analytical, problem-solving, documentation, and communication skills.
  • Ability to work both independently and collaboratively with technical and non-technical teams.

About the Role
Location -
250 East 500 South
Salt Lake City, Utah, 84111
United States
Background Check Required - Yes
Drug Test Required - No
Schedule Code - AE - Employees of the State Board of Edu. This is a career service exempt at will position.
Why You Should Join Our TeamIn Utah, we believe hard work is important, but balance is essential. Finding work/life balance is a vital element to our culture. To find out more about WHY Utah, click here. Other benefits may include:
  • Job Stability: Enjoy the security and reliability of employment within a well-established organization.
  • Career Growth: Develop valuable skills and gain opportunities for leadership within a large organization.
  • Meaningful Work: Contribute to an important service that benefits the community and supports organizational goals.
  • Supportive Work Environment: Be part of a team that values cooperation, strong work ethics, and mutual support.

The AgencyFor more information visit schools.utah.gov
EEO StatementThe State of Utah is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. For accommodations, please contact (801) 957-9390.