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Data Engineer Airflow Jobs in Draper, UT (NOW HIRING)

AutoSavvy

Data Engineer

Woods Cross, UT · On-site

$108K - $129K/yr

Data Engineer (Mid-Level) Utah (Local Required) Overview AutoSavvy is a fast-growing automotive ... Experience orchestrating data workflows (e.g., Azure Functions, Container Apps, Airflow, or similar)

AutoSavvy

Data Engineer

Woods Cross, UT · On-site

$108K - $129K/yr

Data Engineer (Mid-Level) Utah (Local Required) Overview AutoSavvy is a fast-growing automotive ... Experience orchestrating data workflows (e.g., Azure Functions, Container Apps, Airflow, or similar)

Fidelity Investments

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

Develops and designs functional programming, emerging technologies, and messaging frameworks, using ... and Airflow in enterprise environments. * DE building and optimizing data lakes, warehouses, and ...

Sunwest Bank

Data Engineer

Draper, UT · On-site

$107K - $128K/yr

Data Engineer Reports to: N/A About the Role The Data Engineer designs, builds, and optimizes ... Experience with orchestration tools such as Apache Airflow, Azure Data Factory, Databricks, or ...

Sunwest Bank

Data Engineer

Draper, UT · On-site

$107K - $128K/yr

Data Engineer Reports to: N/A About the Role The Data Engineer designs, builds, and optimizes ... Experience with orchestration tools such as Apache Airflow, Azure Data Factory, Databricks, or ...

RED CAT HOLDINGS

Data Engineer

Salt Lake City, UT · On-site

$105K - $126K/yr

Position Summary We're hiring a Data Engineer to build our data foundation from the ground up ... Orchestration experience (Airflow, Dagster, Prefect, or similar). * Experience with a cloud data ...

LVT

Senior Data Engineer

American Fork, UT · On-site

$94K - $128K/yr

Seasoned Data Engineer: 7+ years building and operating production data pipelines using SQL, Python, and modern ELT tooling (dbt, Fivetran, Airflow, or equivalents). You've owned systems under ...

Pwc

Data Engineer - Senior Associate

Salt Lake City, UT

$77K - $202K/yr

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Airflow and Apache Hadoop for scalable data processing and workflow management - Building and ...

Pattern

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

Designing and implementing robust ETL/ELT pipelines using Airflow, DBT, and cloud-native ... Upward mobility toward Staff Data Engineer or specialized technical leadership roles. * Continuous ...

Pattern

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

Designing and implementing robust ETL/ELT pipelines using Airflow, DBT, and cloud-native ... Upward mobility toward Staff Data Engineer or specialized technical leadership roles. * Continuous ...

Pattern

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

Designing and implementing robust ETL/ELT pipelines using Airflow, DBT, and cloud-native ... Upward mobility toward Staff Data Engineer or specialized technical leadership roles. * Continuous ...

LVT

Senior Data Engineer

American Fork, UT · On-site

$94K - $128K/yr

Seasoned Data Engineer: 7+ years building and operating production data pipelines using SQL, Python, and modern ELT tooling (dbt, Fivetran, Airflow, or equivalents). You've owned systems under ...

LVT

Senior Data Engineer

American Fork, UT · On-site

$94K - $128K/yr

Seasoned Data Engineer: 7+ years building and operating production data pipelines using SQL, Python, and modern ELT tooling (dbt, Fivetran, Airflow, or equivalents). You've owned systems under ...

WorkBay

Data & Infrastructure Engineer

Draper, UT · On-site

$107K - $128K/yr

Position Overview We are seeking a skilled and motivated Data & Infrastructure Engineer to own and ... Airflow, Dagster) * Familiarity with React/TypeScript (not required, but helpful for full-stack ...

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Showing results 1-20

All JobsData Engineer Airflow JobsData Engineer Airflow Jobs in Draper, UT

Data Engineer Airflow information

See Draper, UT salary details

$41.6K

$121.3K

$165.9K

How much do data engineer airflow jobs pay per year?

As of Aug 2, 2026, the average yearly pay for data engineer airflow in Draper, UT is $121,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $128,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer Airflow vs Data Engineer?

AspectData Engineer AirflowData Engineer
Primary FocusWorkflow orchestration and pipeline automation using AirflowData collection, storage, transformation, and pipeline development
Required SkillsPython, Airflow, ETL processes, cloud platformsSQL, Python, ETL, data modeling, cloud services
Work EnvironmentData teams, cloud environments, automation pipelinesData warehouses, big data platforms, cloud infrastructure
CertificationsAirflow certifications, Python, cloud certificationsSQL, cloud certifications, data engineering certifications

While both roles involve data pipeline work, Data Engineer Airflow specializes in designing and managing workflows with Airflow, focusing on automation and orchestration. In contrast, Data Engineer has a broader scope, including data storage, transformation, and pipeline development across various tools and platforms.

What does a Data Engineer specializing in Airflow do?

A Data Engineer specializing in Airflow is responsible for designing, building, and maintaining data pipelines using Apache Airflow, an open-source workflow orchestration tool. Their main job is to automate, schedule, and monitor complex data workflows, ensuring data moves reliably between systems and is processed efficiently. They often collaborate with data scientists, analysts, and other engineers to make sure that data is accessible, accurate, and up to date for business needs. Expertise in Airflow helps streamline data operations, optimize performance, and improve data pipeline reliability.

What are the key skills and qualifications needed to thrive as a Data Engineer specializing in Airflow, and why are they important?

To thrive as a Data Engineer with an Airflow focus, you need strong programming skills in Python, expertise in data pipeline design, and experience with distributed systems, often supported by a degree in computer science or a related field. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and database technologies, as well as certifications in cloud data engineering, are typically required. Outstanding problem-solving, attention to detail, and effective communication help you collaborate on complex data workflows and troubleshoot issues efficiently. These skills ensure robust, scalable, and reliable data infrastructure, enabling organizations to make data-driven decisions with confidence.

How does a Data Engineer specializing in Airflow typically collaborate with data scientists and analysts?

Data Engineers working with Airflow play a crucial role in enabling data scientists and analysts to access reliable, up-to-date data. They design and maintain ETL pipelines that automate data movement and transformation, ensuring data is clean and available for analysis. Collaboration often involves gathering requirements, troubleshooting pipeline issues, and optimizing data workflows to meet the needs of downstream users. Effective communication and documentation are essential, as data engineers must align technical solutions with the analytical goals of the broader team.
What are popular job titles related to Data Engineer Airflow jobs in Draper, UT? For Data Engineer Airflow jobs in Draper, UT, the most frequently searched job titles are:
What job categories do people searching Data Engineer Airflow jobs in Draper, UT look for? The top searched job categories for Data Engineer Airflow jobs in Draper, UT are:
What cities near Draper, UT are hiring for Data Engineer Airflow jobs? Cities near Draper, UT with the most Data Engineer Airflow job openings:
Data Engineer Airflow jobs near you

Data Engineer

AutoSavvy

Woods Cross, UT • On-site

$108K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 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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