Data Engineer

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 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.