1

New Grad Data Engineer Jobs in Utah (NOW HIRING)

Senior Platform & AI Engineer

Lehi, UT · On-site

$51.75 - $67/hr

... new features and improve existing data integrations with customer data ecosystem Encourage team to think out-of-the-box and overcome engineering obstacles while incorporating new innovative design ...

Sr. Data & Integrations Engineer

Sandy, UT · On-site

$108K - $130K/yr

Lead architecture reviews for new systems, vendors, and integrations Leadership & Collaboration ... data engineering, or data architecture, including 2+ years in a senior or lead role * Strong ...

Sr. Data & Integrations Engineer

Sandy, UT · On-site

$108K - $130K/yr

Lead architecture reviews for new systems, vendors, and integrations Leadership & Collaboration ... data engineering, or data architecture, including 2+ years in a senior or lead role * Strong ...

The core responsibilities require you to create new data models and data agents on Snowflake. This role is a balance between a Data Analyst and a Data Engineer. You should be equally comfortable and ...

Data Architect

Draper, UT

$59.50 - $76.75/hr

... new heights of business success. We deeply understand the transformative value of Microsoft ... You'll collaborate with data engineers, developers, and architects to design and implement modern ...

New

Data Architect

Draper, UT · On-site +1

$140K - $200K/yr

... new heights of business success. We deeply understand the transformative value of Microsoft ... You'll collaborate with data engineers, developers, and architects to design and implement modern ...

The core responsibilities require you to create new data models and data agents on Snowflake. This role is a balance between a Data Analyst and a Data Engineer. You should be equally comfortable and ...

next page

Showing results 1-20

New Grad Data Engineer information

See Utah salary details

$40.5K

$118.1K

$161.6K

How much do new grad data engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for new grad data engineer 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 key skills and qualifications needed to thrive in the New Grad Data Engineer position, and why are they important?

To thrive as a New Grad Data Engineer, you need a strong grasp of programming languages like Python or SQL, a background in computer science or a related field, and an understanding of data modeling and database concepts. Familiarity with data engineering tools such as ETL pipelines, cloud platforms like AWS or Azure, and certifications in these areas can be beneficial. Strong problem-solving skills, effective communication, and a willingness to learn are valuable soft skills for this position. These abilities ensure you can effectively handle complex data tasks, collaborate with technical teams, and adapt to evolving technologies in a fast-paced environment.

What does the typical day look like for a New Grad Data Engineer?

As a New Grad Data Engineer, your day often involves writing and optimizing code for data pipelines, cleaning and transforming data, and troubleshooting any issues that arise. You’ll work closely with senior data engineers, data scientists, and sometimes business stakeholders to understand data requirements and deliver reliable solutions. Many entry-level roles emphasize learning and professional growth, so you can expect regular mentorship, code reviews, and opportunities to work on small components of larger projects. Over time, you’ll take on more complex responsibilities and contribute to the overall data infrastructure of your organization.

What is a New Grad Data Engineer job?

A New Grad Data Engineer is an entry-level role for recent graduates who focus on designing, building, and maintaining data pipelines and infrastructure. They work with databases, ETL (Extract, Transform, Load) processes, and big data technologies to ensure efficient data flow and storage. Typically, they collaborate with data scientists, analysts, and software engineers to support data-driven decision-making. This role requires knowledge of SQL, Python, and cloud platforms, along with problem-solving and analytical skills. It is an excellent opportunity to gain hands-on experience in data engineering while learning industry best practices.

What cities in Utah are hiring for New Grad Data Engineer jobs? Cities in Utah with the most New Grad Data Engineer job openings:
Infographic showing various New Grad Data Engineer job openings in Utah as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,090 per year, or $56.8 per hour.
Data Engineer - ELT/ETL Data Modeling (Onsite - Salt Lake City, UT | Local Candidates Only)

Data Engineer - ELT/ETL Data Modeling (Onsite - Salt Lake City, UT | Local Candidates Only)

WesTech Engineering

Salt Lake City, UT • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 3 days ago


WesTech Engineering rating

9.6

Company rating: 9.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

4th of 356 rated engineering


Job description

This is an onsite Salt Lake City, UT role open only to candidates currently living in Utah with relevant data engineering / ELT/ETL Data Modeling experience.

Our mission at WesTech is to help communities thrive by delivering high-quality water solutions with superior service – safely and sustainably. To achieve this mission, we recruit great people to be part of our collegial and collaborative teams in engineering, design, project management, field service, plant operations, professional services and more.

 As one of the leading operating brands of Swire Water, our values of integrity, humility, endeavor, excellence and continuity make this an outstanding working environment. Our continuing success creates attractive opportunities for purpose-driven professionals to develop new skills, support vital industries, and grow their careers.

 Summary

 As a Data Engineer with WesTech, you will design, develop, and optimize scalable data solutions that support enterprise reporting, analytics, and operational decision-making. This role builds reliable data pipelines, implements dimensional data models, and partners with business stakeholders to deliver trusted datasets and analytics capabilities. The ideal candidate brings hands-on experience with modern data engineering tools and practices, including dbt, Microsoft Fabric, and Kimball dimensional modeling methodologies.

Candidates for this position may be required to pass pre-employment and periodic screenings, including background checks, drug and alcohol tests, or other necessary assessments.

 Some of the work you will do: 

  • Design, develop, and maintain scalable data transformation pipelines using dbt.
  • Build and optimize data solutions within Microsoft Fabric.
  • Develop dimensional models and enterprise data marts using Kimball methodology.
  • Collaborate with analysts, business stakeholders, and technical teams to gather requirements and deliver data solutions.
  • Implement data quality checks, testing, and monitoring processes.
  • Troubleshoot and resolve data pipeline performance and reliability issues.
  • Support CI/CD, deployment, and source control processes for analytics engineering workflows.
  • Improve documentation standards for data lineage, business rules, and technical architecture.
  • Contribute to data governance and master data management initiatives.

Here are the skills that you need: 

  • Bachelor’s degree in a related field, equivalent practical experience, and/or relevant technical certifications.
  • 2–3 years of experience in data engineering, analytics engineering, software development, business intelligence, or a related technical role.
  • Hands-on experience building ETL/ELT pipelines, enterprise data models, and enterprise reporting or analytics solutions.
  • Strong SQL development and query optimization skills, with experience analyzing complex data issues and implementing scalable solutions.
  • Experience using dbt in a production environment and working with data warehousing, ELT architecture, and data pipeline orchestration.
  • Experience with Microsoft Fabric or related Microsoft data technologies, as well as cloud-based analytics platforms.
  • Strong understanding of Kimball dimensional modeling principles.
  • Experience with Git, source control, and development lifecycle practices.
  • Strong communication and stakeholder collaboration skills.

 

Here are the skills and qualifications that will set you apart: 

  • Experience with Python for automation, data processing, or analytics.
  • Exposure to data science, forecasting, or machine learning workflows.
  • Experience with Power BI or enterprise BI platforms.
  • Familiarity with ERP systems such as Business Central, SAP, Oracle, or similar enterprise systems.
  • Experience working in manufacturing, engineering, supply chain, construction, or project-based industries.

 

Physical Requirements:

  • Ability to sit at workstation using computer/phone.
  • Frequently required to sit, talk, hear, and see. Specific vision abilities required by this job include close vision and distance vision.
  • Regularly required to move around the facility.
  • Occasionally required to lift and/or move up to 50 pounds

Benefits and perks we offer:

  • Competitive salary and performance-based annual bonuses.
  • Dollar for dollar 401K match of 6%.
  • Flexible work hours.
  • Comprehensive health and wellness benefits package with an onsite and virtual medical facility
  • Company HSA contribution, Paid Parental Leave, Employee Assistance Program
  • Company-paid Life Insurance, Accidental Death and Dismemberment, and Long-term Disability.
  • PTO plan and Paid Holidays.
  • Tuition Reimbursement.
  • Company celebrations, summer parties, volunteer opportunities, games, prize drawings, and more!

WesTech considers all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.