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Part Time Data Engineer Jobs in Draper, UT (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 ...

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 ...

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 ...

We collaborate closely with data scientists, engineers, and product teams to build scalable and ... This is a part-time, work-study-based opportunity for active students in master's and PhD programs.

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Part Time Data Engineer information

See Draper, UT salary details

$41.6K

$121.3K

$165.9K

How much do part time data engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for part time data engineer in Draper, UT is $121,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $128,500.00 per year, depending on experience, location, and employer.

What types of projects and responsibilities can I expect as a Part Time Data Engineer?

As a Part Time Data Engineer, you might work on projects such as developing and maintaining data pipelines, optimizing database performance, and preparing data for analytics and reporting. Responsibilities often include extracting, transforming, and loading (ETL) data, collaborating with data analysts and scientists, and troubleshooting data-related issues. You may also help implement data quality checks or participate in cloud migration initiatives. The scope of your work will typically be focused and project-based, making sure your contributions have a tangible impact within a flexible schedule.

What engineers make $300,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn $300,000 or more annually. High compensation often depends on industry, location, and the complexity of projects handled.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data infrastructure that requires human oversight and expertise. While AI can automate certain tasks like data cleaning and processing, data engineers are essential for managing complex systems, ensuring data quality, and integrating new technologies. Skills in programming, cloud platforms, and data architecture remain critical in this evolving field.

What engineer makes $500,000 a year?

Highly experienced data engineers working in senior or specialized roles at large tech companies or financial institutions can earn $500,000 or more annually, often including bonuses and stock options. Achieving this level typically requires advanced skills in data architecture, cloud platforms, and programming, along with significant industry experience and certifications.

What is a Part Time Data Engineer job?

A Part-Time Data Engineer is responsible for designing, building, and maintaining data pipelines and databases on a reduced-hour basis. They work with structured and unstructured data to ensure efficient storage, retrieval, and processing, often collaborating with data analysts and scientists. This role is ideal for professionals seeking flexible work arrangements while still contributing to data infrastructure and analytics. Part-time data engineers may work as freelancers, consultants, or employees with reduced-hour contracts. Their responsibilities can vary based on company needs but typically involve ETL processes, cloud data management, and performance optimization.

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

To thrive as a Part Time Data Engineer, you need strong programming skills (usually in Python, SQL, or Scala), a solid understanding of data warehousing concepts, and experience with ETL pipelines, typically supported by a relevant degree or equivalent experience. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and relevant certifications such as Google Professional Data Engineer or AWS Certified Data Analytics, are highly valued. Effective time management, problem-solving abilities, and clear communication are standout soft skills for this flexible role. These skills are crucial because they enable part-time data engineers to efficiently deliver reliable data solutions while collaborating across teams in dynamic work environments.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for managing large data systems, building data pipelines, and supporting data analytics. Skills in cloud platforms, SQL, and programming languages like Python or Scala enhance job prospects in this field.
What are the most commonly searched types of Data Engineer jobs in Draper, UT? The most popular types of Data Engineer jobs in Draper, UT are:
What are popular job titles related to Part Time Data Engineer jobs in Draper, UT? For Part Time Data Engineer jobs in Draper, UT, the most frequently searched job titles are:
What job categories do people searching Part Time Data Engineer jobs in Draper, UT look for? The top searched job categories for Part Time Data Engineer jobs in Draper, UT are:
What cities near Draper, UT are hiring for Part Time Data Engineer jobs? Cities near Draper, UT with the most Part Time Data Engineer job openings:
Infographic showing various Part Time Data Engineer job openings in Draper, UT as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $121,265 per year, or $58.3 per hour.

$40 - $50/hr

Full-time, Part-time

Posted 4 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.