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New Grad Data Engineer Jobs in Utah (NOW HIRING)

AutoSavvy

Data Engineer

Woods Cross, UT · On-site

$108K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Curious and proactive in learning new tools, technologies, and industry practices * Stays current with modern data engineering and software development patterns * Comfortable leveraging AI-assisted ...

AutoSavvy

Data Engineer

Woods Cross, UT

$108K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Curious and proactive in learning new tools, technologies, and industry practices * Stays current with modern data engineering and software development patterns * Comfortable leveraging AI-assisted ...

Bespoke Labs

Data Engineer

Orem, UT · On-site

$99K - $119K/yr

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Logan, UT · On-site

$98K - $118K/yr

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

West Jordan, UT · On-site

$106K - $128K/yr

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Ogden, UT · On-site

$112K - $134K/yr

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Pattern

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a scrappy and motivated Data Engineer to join our growing team. In this role, you ... Game Changers- A game changer is someone who looks at problems with an open mind and shares new ...

Pattern

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a scrappy and motivated Data Engineer to join our growing team. In this role, you ... Game Changers- A game changer is someone who looks at problems with an open mind and shares new ...

Pattern

Data Engineer

Lehi, UT

$107K - $129K/yr

We are seeking a scrappy and motivated Data Engineer to join our growing team. In this role, you ... Game Changers- A game changer is someone who looks at problems with an open mind and shares new ...

Pwc

Data Engineer - Manager

Salt Lake City, UT · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... new data technologies and tools to enhance data architecture - Building, maintaining, and improving ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data ...

BambooHR

Sr. Data Engineer

Draper, UT · Hybrid

$107K - $128K/yr

Essential Job Duties As a Senior Data Engineer, you will play a key role in designing, building ... Ability to quickly learn new business domains and emerging analytics and AI technologies. * Strong ...

Pwc

Data Engineer - Senior Associate

Salt Lake City, UT

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.

Pwc

Data Engineer - Senior Manager

Salt Lake City, UT · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... new data technologies and tools - Leading data strategy engagements providing thought leadership - Developing leading practices for Data Engineering, Data Science, and Data Governance - Architecting ...

Upbound

Data Engineer IV - AI & Data Products

Draper, UT · On-site

$107K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Data Engineer IV - AI & Data Products (Draper UT, In-Office) Upbound Group, Inc. (NASDAQ: UPBD) is ... Ability and motivation to learn new technologies quickly with minimal support and guidance.

Intermountain Health

New Grad RN Med Surg

Sandy, UT · On-site

$35.22/hr

Nursing Grad - $32.27, New Grad RN - $35.22 Shift: NIGHTS Essential Functions * Demonstrates ... Collects patient data (e.g., vital signs) under the direct supervision of the RN and reports ...

New

Imh

$35.22/hr

Rate: Nursing Grad - $32.27, New Grad RN - $35.22 * Shift: NIGHTS Essential Functions ... Collects patient data (e.g., vital signs) under the direct supervision of the RN and reports ...

New

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Showing results 1-20

All JobsNew Grad Data Engineer JobsNew Grad Data Engineer Jobs in Utah

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 Aug 15, 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 as a new grad data engineer?

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 a new grad data engineer do?

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?

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.

Can I get a new grad data engineer job with no experience?

Securing a new grad data engineer position without experience is possible if you have relevant skills such as SQL, Python, or cloud platforms, and demonstrate a strong understanding of data pipelines and systems. Entry-level roles often focus on potential and foundational knowledge, and internships or projects can strengthen your application.

What are popular job titles related to New Grad Data Engineer jobs in Utah?

For New Grad Data Engineer jobs in Utah, the most frequently searched job titles are:

What job categories do people searching New Grad Data Engineer jobs in Utah look for?

The top searched job categories for New Grad Data Engineer jobs in Utah are:

What cities in Utah are hiring for New Grad Data Engineer jobs?

Cities in Utah with the most New Grad Data Engineer job openings:

New Grad Data Engineer jobs near you
Infographic showing various New Grad Data Engineer job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $118,090 per year, or $56.8 per hour.

Data Engineer

AutoSavvy

Woods Cross, UT • On-site

$108K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 hours ago

Job description

Data Engineer (Mid-Level)
Utah (Local Required)
Overview
AutoSavvy is a fast-growing automotive retailer focused on providing high-quality, branded title vehicles at competitive prices nationwide. We leverage data and internal systems to drive operational efficiency, pricing strategy, and decision-making across the business.
We are looking for a Data Engineer to help scale our internal data and automation capabilities within a Microsoft Azure environment. This role focuses on building and maintaining data pipelines, improving reporting datasets, and developing internal tools that support operational pricing, and reporting decisions.
You will be the first dedicated data engineering hire, helping define how data systems are built, maintained, and scaled across the organization, working directly with the technical lead responsible for architecture and strategy. This role is focused on execution, ownership, and building systems that scale.
Our stack primarily includes Azure SQL, Python-based data workflows, Azure Functions and Container Apps for scheduled and event-driven workflows, and Azure Blob Storage.
Scope of the Role
You will work across data pipelines, reporting datasets, and backend workflows.
This role requires someone comfortable operating across multiple areas and building practical, scalable solutions.
What You'll Work On (Examples)
Optimize and extend existing pipelines improving reliability and reducing job runtimes while designing new pipelines and databases as needed
  • Build and maintain pipelines that ingest, transform, and standardize operational data
  • Improve performance and reliability of SQL-based datasets
  • Automate internal workflows that require manual data handling
  • Design clean, reusable data models to support business metrics and dashboards
  • Integrate external APIs and internal systems into centralized data workflows

Responsibilities
Data Pipelines & Azure Infrastructure
  • Build, maintain, and optimize ETL/ELT pipelines using Azure services
  • Work with data across Azure SQL, Blob Storage, and related services
  • Ensure data quality, reliability, and performance through monitoring and troubleshooting
  • Implement data validation and testing (e.g., data quality checks, unit/integration tests) to ensure correctness and maintainability

Data Modeling & Reporting Support
  • Develop and maintain clean, reliable datasets for reporting and analytics
  • Collaborate on data models that support business metrics and dashboards
  • Write and optimize complex SQL queries for performance and clarity

Automation & Internal Tooling
  • Build Python-based scripts and services to automate internal workflows
  • Integrate with external APIs and internal systems
  • Reduce manual processes through automation

Collaboration & Execution
  • Execute against defined architecture and technical direction
  • Contribute to solution design
  • Communicate progress, blockers, and improvements clearly

Required Qualifications
  • 3-5 years of experience in data engineering or similar role
  • Ability to work independently on well-scoped problems with minimal guidance
  • Strong SQL skills (advanced querying, performance tuning, data transformations)
  • Proficiency in Python for data processing and automation
  • Experience writing maintainable, testable Python code
  • Experience using Git for version control (e.g., GitHub), including branching and pull request workflows
  • Hands-on experience with Azure data services, including:
    • Azure SQL Database or SQL Server
    • Experience orchestrating data workflows (e.g., Azure Functions, Container Apps, Airflow, or similar)
    • Azure Blob Storage or Data Lake
  • Experience building and maintaining ETL/ELT pipelines
  • Experience working with large, structured datasets

Preferred Qualifications
  • Familiarity with data modeling for analytics and reporting
  • Experience integrating with REST APIs and external data sources
  • Understanding of CI/CD practices and tooling (Azure DevOps preferred)
  • Experience optimizing data workflows for cost and performance in Azure
  • Experience supporting Power BI through well-structured datasets and optimized data models
  • Proficiency with Excel for data analysis, validation, and ad hoc reporting
  • Experience with observability and monitoring (e.g., logging, metrics, alerting in Azure)

Mindset & Approach
  • Curious and proactive in learning new tools, technologies, and industry practices
  • Stays current with modern data engineering and software development patterns
  • Comfortable leveraging AI-assisted development tools (e.g., Claude, Codex, ChatGPT, Grok, etc.) to improve productivity and solution quality
  • Able to critically evaluate AI-generated output and apply sound engineering judgment
  • Continuously looks for ways to improve systems, processes, and developer efficiency
  • Bias toward simple, pragmatic solutions over unnecessary complexity

Ownership & Working Style
  • Comfortable working independently with minimal oversight while aligning to defined priorities and architecture
  • Takes ownership of problems from initial concept through implementation and iteration
  • Proactively identifies gaps, inefficiencies, and opportunities for improvement
  • Communicates clearly on progress, tradeoffs, and blockers without needing constant direction
  • Comfortable asking for clarification when needed to ensure alignment and avoid misdirection

What Success Looks Like
Within the first 90 days, you will:
  • Take ownership of existing Azure-based pipelines and improve reliability
  • Deliver new data workflows with minimal oversight
  • Reduce manual or repetitive processes through automation
  • Improve performance and usability of reporting datasets

Within 6-12 months, you will:
  • Own a set of data pipelines or domains end-to-end
  • Establish and improve standards for data quality, testing, and pipeline reliability
  • Deliver measurable improvements in performance, maintainability, and operational efficiency
  • Contribute to shaping best practices for how data systems are built and scaled

What This Role is Not
  • Not a narrowly scoped or ticket-driven position
  • Not focused on building machine learning or AI model

Team & Growth
  • You will work directly with the senior technical lead focused on system design and strategy
  • You will have meaningful input into how solutions are implemented and improved
  • Opportunity to grow into ownership of larger systems and architecture
  • As systems scale, this role can expand into broader engineering or platform ownership
  • Opportunity to mentor future hires and influence engineering and hiring standards as the team grows

Why This Role
  • Be the first dedicated data engineering hire and help shape how data systems are built and scaled
  • High-trust, low-bureaucracy environment with real ownership and decision-making autonomy
  • Build systems that directly impact business operations, pricing, and reporting
  • Focus on meaningful engineering work rather than one-off tasks

Physical Requirements
  • Ability to sit at a desk for extended periods, perform repetitive tasks like typing, and frequent use a video calls.
  • Dedicated Workspace: A quiet, private area free from noise and distractions to ensure productivity and data security.
  • High-Speed Internet: Reliable broadband internet, often requiring a wired Ethernet connection to the router rather than Wi-Fi for stability.

Work Environment
  • In office meetings out of the Woods Cross, UT location.
Requirements
  • Valid driver's license with acceptable driving record
  • Ability to pass a background check
  • Authorized to work in the United States
  • Requirement of Multi-Factor Authentication apps on cell phone

Benefits:
  • Comprehensive Benefits: Medical, Dental, and Vision coverage, HSA match, TelaDoc, Pharmacy Discount Programs, and Employer paid Life Insurance
  • Employee Assistance Program: Free of charge for personal uses such as support and general resources
  • Additional Perks: Pet Insurance, Gym Discounts, and an Employee Vehicle Purchase Program, Volunteer PTO Program
  • Retirement Savings: Employer matching contributions
  • Paid Time Off: Among the best PTO policies in the industry
  • Paid Holidays: 7 Major Holidays

AutoSavvy provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
All offers of employment at AutoSavvy are contingent upon clear results of a thorough background check and motor vehicle report (MVR). Background checks and MVRs will be conducted on all final candidates offered employment. AutoSavvy participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the United States.

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