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Part Time Data Engineering Jobs in Utah (NOW HIRING)

Juniper Systems

INTERN- Mechanical Engineer

Logan, UT

$16.25 - $21.75/hr

Mechanical Engineering Intern Interns are expected to work in the Logan, UT office part time while ... Instrumentation, sensor or test data collection skills desired. Experience with 3D printers and 3D ...

TERRACON

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 ...

TERRACON

Senior Staff Engineer - Part time

Midvale, UT

$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 ...

Bastion Technologies

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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All JobsData Engineering JobsPart Time Data Engineering JobsPart Time Data Engineering Jobs in Utah

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:
Part Time Data Engineering jobs near you

Data Scientist

Utah Division of Human Resource Management

Salt Lake City, UT • On-site

$33.63 - $56.31/hr

Full-time, Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Scientist
FT / PT Status - Full-Time
Salary - $33.63 - $56.31 Hourly Wage
Remote Work / In-Office - HybridRecruiter - Angie Rhodes arhodes@utah.gov
Application Deadline - 7/9/2026
Key Responsibilities
Love to swim in data and improve its value to end users? Come work for the Office of Financial Services within the Utah
State Medicaid program as a Data Scientist.
Medicaid is a valuable public good that around 15% of Utah's population accesses every year. The Data Scientist role
allows you to directly impact the individuals who rely on these services by providing reports, visualizations, and
predictive analytics to the legislators, federal agencies, and advocacy groups in charge of improving access to care and
health outcomes.
This position requires advanced programming experience with SQL and relational databases. Critical thinking is a must
as the right answer is not always obvious or known. Having extensive experience with the Python programming
language is also strongly preferred.
A skills test will be administered to assess skills needed for this position prior to interviews being scheduled.
Preference may be given to those with a completed Master's degree in Statistics, Economics, Mathematics, Finance, or a
related field as determined by the hiring official.
Responsibilities
I. Data Pipeline Engineering & Productionization
  • Business Logic Translation: Systematically analyze, reverse-engineer, and translate complex, proprietary business
    logic, rulesets, and calculations (currently residing in End-User Computing (EUC) tools like Microsoft Excel and
    Access) into robust, version-controlled Python and SQL code.
  • Pipeline Engineering: Design, develop, and maintain efficient, scalable data transformation pipelines using Python
    and advanced SQL to ensure reliable, high-quality data delivery for core financial reporting, operational metrics,
    and compliance requirements.
  • Code Governance and Auditability: Implement rigorous software engineering best practices, including version
    control (Git/GitHub), automated testing, and comprehensive code review, specifically establishing controls for the
    secure and compliant handling of PHI/PII and other sensitive data assets used in state and federal reporting.
  • Quality Assurance: Develop and execute detailed data validation and reconciliation tests to ensure that
    productionized data assets maintain and improve the accuracy and integrity of critical business rules derived from
    legacy systems.

II. Governance, Partnership, and System Alignment
  • Logic Capture and Documentation: Partner directly with internal stakeholders (Finance, Operations, etc.) to
    conduct deep discovery, formally capture undocumented business processes, and stabilize the computational logic found in fragile EUC tools.
  • Solution Architecture: Propose and design controlled data solutions that meet critical compliance and financial
    reporting needs while strictly adhering to state data governance, organizational security policies, and Federal
    standards, including HIPAA and CMS requirements.
  • Data Lineage and Documentation: Create clear, standardized, and accessible documentation for all deployed data
    assets, including data dictionaries, detailed transformation logic, and lineage maps, supporting continuity and
    enabling future stakeholders to utilize reliable, engineered data sources.

III. Foundational Capability Building
  • Contribute substantively to the definition of the team's initial technical roadmap, tooling choices, and operating
    procedures, acting as a foundational member of this new Analytics Engineering function.
  • Serve as the internal subject matter expert on data productionization and data structure, providing consultative
    guidance to stakeholders transitioning from Excel/Access-based logic to production-grade SQL and Python
    workflows.

Supplemental Information
  • Risks found in the typical office setting, which is adequately lighted, heated and ventilated, e.g., safe use of office
    equipment, avoiding trips and falls, observing fire regulations, etc.
  • Typically, the employee may sit comfortably to perform the work; however, there may be some walking; standing;
    bending; carrying light items; driving an automobile, etc. Special physical demands are not required to perform the
    work.
  • Effective July 1, 2021, State of Utah Employees must either reside in Utah or be in the process of relocating to
    Utah within 30 days of their start date.
  • This position may currently be a hybrid of both in-office and remote work days. Please note, a position's eligibility
    for remote work is established by agency management and is subject to change at their discretion, at any time, and
    for any reason.

Qualifications
Minimum or "day-one" qualifications:
  • Data Engineering Expertise: Ability to architect and implement production-ready data solutions and data
    transformation routines using Python (including data manipulation libraries like Polars) and advanced SQL.
  • EUC Conversion: Skill in reverse-engineering and translating complex business logic from legacy End-User
    Computing (EUC) tools (Microsoft Excel and Access, including VBA macros), into stable, version-controlled code.
  • Analytical Data Modeling: Experience designing and building reliable analytical data models to deliver high-
    quality, trusted datasets for stakeholders and leadership.
  • Code Governance: Proficiency in software engineering practices, including Git/GitHub, for version control, code
    review, and maintaining high auditability standards.
  • Data Quality & Validation: Experience implementing automated data quality checks, monitoring, and validation
    processes to ensure solution accuracy and reliability.
  • Regulatory Compliance: Strong understanding of data security principles and experience designing systems that
    ensure technical compliance with HIPAA, CMS, and state data governance policies when handling Protected Health Information (PHI) and PII.
  • Policy Interpretation: Ability to read, interpret, and accurately apply state and federal laws, rules, regulations, and
    policies related to the Medicaid/Medicare system to inform data solution design.
  • Stakeholder Partnership: Excellent written and verbal communication skills, with the ability to partner with non-
    technical stakeholders to capture business processes and technical specifications.
  • Independent Work: Ability to plan, organize, and prioritize workload, meet deadlines, and work independently to
    find efficient solutions to technical challenges.

About the Role
Location -
288 North 1460 West
Salt Lake City, Utah, 84116
United States
Background Check Required - You must successfully pass a criminal history check.
Drug Test Required - No
Schedule Code - TL - Time limited
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 on the Division of Integrated Healthcare, please visit our website.
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.

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