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Script Engineer Jobs in Utah (NOW HIRING)

AutoSavvy

Data Engineer

Woods Cross, UT · On-site

$108K - $129.70K/yr

Data Engineer (Mid-Level) Utah (Remote, Hybrid, and Local Required ) Overview AutoSavvy is a fast ... Build Python-based scripts and services to automate internal workflows * Integrate with external ...

LVT

Systems Engineer III

American Fork, UT · On-site

As a Systems Engineer III, you will be responsible for ensuring the security, reliability, and ... Develop and maintain scripts (e.g., Okta Workflows, Workato, etc.) to automate routine tasks and ...

Octanner

Software Engineer in Test

Salt Lake City, UT · Remote

As programmers, researchers, designers, client professionals and craftspeople we create the tech, ... Write reusable, maintainable, and scalable automated test scripts * Debug and analyze root-cause of ...

New

Vivint

Sr Quality Engineer, Embedded

Lehi, UT · On-site

$83.10K - $112.60K/yr

... scripts). • Exposure to embedded devices and testing hardware/software interactions. • ... with engineers). • Troubleshooting mindset: exposure to common diagnostic approaches and ...

Calyx Containers

AWS Cloud Engineer

West Valley City, UT · On-site

$53.50 - $71.50/hr

Develop backend services and automation scripts in Python and GoLang * Collaborate with front-end engineers on React and TypeScript applications, supporting API integration and deployment pipelines

Calyx Containers

AWS Cloud Engineer

West Valley City, UT · On-site

$53.50 - $71.50/hr

Develop backend services and automation scripts in Python and GoLang * Collaborate with front-end engineers on React and TypeScript applications, supporting API integration and deployment pipelines

Calyx Containers

AWS Cloud Engineer

West Valley City, UT · On-site

$53.50 - $71.50/hr

Develop backend services and automation scripts in Python and GoLang * Collaborate with front-end engineers on React and TypeScript applications, supporting API integration and deployment pipelines

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Script Engineer information

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

To thrive as a Script Engineer, you need strong programming skills, typically in scripting languages such as Python, Bash, or PowerShell, along with a solid understanding of software development principles. Familiarity with automation tools, version control systems like Git, and continuous integration platforms is commonly required. Problem-solving abilities, attention to detail, and effective communication help Script Engineers collaborate and deliver reliable automation solutions. These skills are essential for improving efficiency, reducing manual errors, and supporting seamless software development and deployment processes.

How does a Script Engineer typically collaborate with development and operations teams on automation projects?

Script Engineers regularly work alongside software developers and IT operations teams to design, implement, and maintain automation scripts that streamline workflows and system processes. Collaboration often involves gathering requirements, understanding system architectures, and troubleshooting issues together to ensure seamless integration of automation solutions. Effective communication and problem-solving skills are essential, as Script Engineers frequently participate in code reviews, cross-functional meetings, and documentation efforts to keep all stakeholders informed and projects on track.

What is a Script Engineer?

A Script Engineer is a professional responsible for writing, maintaining, and optimizing scripts that automate tasks, processes, or workflows within software systems. They often work with scripting languages like Python, Bash, PowerShell, or JavaScript to streamline operations, improve efficiency, and support software development or IT operations. Script Engineers may also troubleshoot scripts, integrate them with other tools, and ensure they follow best coding practices.

What is the difference between Script Engineer vs Game Developer?

AspectScript EngineerGame Developer
Required CredentialsBachelor's in Computer Science, Programming SkillsBachelor's in Computer Science, Programming Skills, sometimes specialized in game design
Work EnvironmentGame studios, software companies, often collaborative teamsGame studios, independent developers, software companies
Industry UsageUsed mainly in gaming, interactive media projectsUsed broadly in gaming, including design, programming, and production
Common Search/ComparisonYesYes

While both Script Engineers and Game Developers work within the gaming industry, Script Engineers focus primarily on scripting and implementing game logic, often specializing in scripting languages and tools. Game Developers have a broader role that includes designing, programming, and sometimes managing entire game projects. The roles overlap in skills and work environment, but Script Engineers typically concentrate on scripting tasks within the development process.

What are popular job titles related to Script Engineer jobs in Utah? For Script Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Script Engineer jobs in Utah look for? The top searched job categories for Script Engineer jobs in Utah are:
Script Engineer jobs near you

Data Engineer

AutoSavvy

Woods Cross, UT • On-site

$108K - $129.70K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

Data Engineer (Mid-Level)
Utah (Remote, Hybrid, and 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
  • Remote work with occasional 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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