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Data Optimization Jobs in Utah (NOW HIRING)

AutoSavvy

Data Engineer

Woods Cross, UT · On-site

$108K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Krux Analytics

Data Architect

Salt Lake City, UT · On-site

$61.25 - $78.75/hr

Conduct model tuning and capacity optimization to support growth and usage scaling * Evaluate and enhance current analytics platform architecture * Partner with teammates for ETL and data pipeline ...

Overstock

Data Analyst - IC 2

Salt Lake City, UT

  • Retirement

Pricing Data Analysts are expected to take on special long-term projects aimed at solving key ... Evaluate alternative strategic approaches and recommend optimal pricing decisions. * Collaborate ...

Sunwest Bank

Data Engineer

Draper, UT

$107K - $128K/yr

Ensure data pipelines are secure, efficient, resilient, and optimized for AI‑driven applications. * Support enterprise analytics and reporting initiatives through well‑structured data models and ...

Sunwest Bank

Data Engineer

Draper, UT · On-site

$107K - $128K/yr

Ensure data pipelines are secure, efficient, resilient, and optimized for AI-driven applications. * Support enterprise analytics and reporting initiatives through well-structured data models and ...

WorkBay

Data & Infrastructure Engineer

Draper, UT · On-site

$107K - $128K/yr

  • PTO

Own database schema migrations, indexing, and query optimization in PostgreSQL * Manage version ... Document data architecture, runbooks, and processes to ensure organizational continuity ...

Brady Corporation

Customer Data Specialist

Salt Lake City, UT · On-site

$16.50 - $22/hr

Database Optimization: Proactively identify and eliminate duplicate records, update obsolete information, and correct anomalies. * Data Enrichment: Audit and fill missing data gaps by validating and ...

Brady

Customer Data Specialist

Salt Lake City, UT · Remote

$16.50 - $22/hr

Database Optimization: Proactively identify and eliminate duplicate records, update obsolete information, and correct anomalies. * Data Enrichment: Audit and fill missing data gaps by validating and ...

Brady Corporation

Customer Data Specialist

Salt Lake City, UT · On-site

$16.50 - $22/hr

Database Optimization: Proactively identify and eliminate duplicate records, update obsolete information, and correct anomalies. * Data Enrichment: Audit and fill missing data gaps by validating and ...

Danone

Manager, Maintenance Cost Optimization

West Jordan, UT · Hybrid

$105K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data-driven, results-oriented mindset with strong financial acumen related to maintenance cost and inventory optimization About Us, We offer and What's next Life at Danone With approximately 5,000 ...

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All JobsData Optimization JobsData Optimization Jobs in Utah

Data Optimization information

What is a data optimization?

A Data Optimization job involves improving the efficiency, accuracy, and accessibility of data within an organization. Professionals in this role analyze large datasets, refine data structures, and implement strategies to enhance data processing and storage. They work with data engineers, analysts, and business teams to ensure data supports performance goals and decision-making. Common tasks include cleaning data, reducing redundancies, and optimizing database queries.

What are the key skills and qualifications needed to thrive in data optimization, and why are they important?

To thrive in Data Optimization, you need strong analytical skills, expertise in data modeling, and a solid foundation in statistics or mathematics, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as certifications in data analytics or optimization software, is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are key soft skills for this role. These competencies are crucial for translating complex data into actionable insights that drive business efficiency and performance improvements.

What are some typical challenges faced in a data optimization role?

Professionals in Data Optimization often encounter challenges such as working with incomplete or inconsistent datasets, integrating data from multiple sources, and ensuring data quality and accuracy throughout the optimization process. Balancing technical efficiency with business objectives and communicating complex analytical findings in easily understandable ways can also be demanding. Collaboration with cross-functional teams is frequent, requiring both strong technical and interpersonal skills. Overcoming these challenges helps ensure that optimization projects deliver meaningful value and measurable impact for the organization.

What are the most commonly searched types of Data Optimization jobs in Utah?

The most popular types of Data Optimization jobs in Utah are:

What are popular job titles related to Data Optimization jobs in Utah?

For Data Optimization jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Data Optimization jobs in Utah look for?

The top searched job categories for Data Optimization jobs in Utah are:

What cities in Utah are hiring for Data Optimization jobs?

Cities in Utah with the most Data Optimization job openings:

Data Optimization jobs near you
Infographic showing various Data Optimization job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Engineer

AutoSavvy

Woods Cross, UT • On-site

$108K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days 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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