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

Awardco

Data Scientist

Lindon, UT · On-site

Partner with our BI and Data Engineering teams on metric definitions and data infrastructure * Work ... Experience working with orchestration tools such as Airflow or Orchestra * Experience on a small or ...

Trove Brands

Senior Analytics Engineer

Lehi, UT

This individual will help drive data governance, data quality, and scalable analytics solutions ... Experience with Airflow or other orchestration platforms. * Experience working with modern AI tools ...

Leash Bio

Machine Learning Engineer

Salt Lake City, UT · On-site

Responsibilities : • Manage and optimize data processing workflows for large-scale datasets, with ... Preferred : • Familiarity with common MLops tooling (e.g., Dagster, Prefect, Airflow, Docker ...

Berkadia

Software Developer

Midvale, UT · Hybrid

Design and build data projects while securing core data elements, develop ETL pipelines, in the ... Using AirFlow to schedule and monitor software jobs on a variety of frequencies; * Designing and ...

Trove Brands

Senior Analytics Engineer

Lehi, UT

This individual will help drive data governance, data quality, and scalable analytics solutions ... Experience with Airflow or other orchestration platforms. * Experience working with modern AI tools ...

Trove Brands

Senior Analytics Engineer

Lehi, UT · On-site

This individual will help drive data governance, data quality, and scalable analytics solutions ... Experience with Airflow or other orchestration platforms. * Experience working with modern AI tools ...

ARUP

Senior Analytics Engineer

Salt Lake City, UT · On-site

$100K - $138K/yr

The Sr. Analytics Engineer is responsible for modeling our complex clinical and operational data ... Airflow, or Dagster. Lead the modernization of ARUP's data ontology for specific clinical and ...

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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 Sep 4, 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 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.

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 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.

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 are popular job titles related to Data Engineer Airflow jobs in Draper, UT?

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The top searched job categories for Data Engineer Airflow jobs in Draper, UT are:

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Cities near Draper, UT with the most Data Engineer Airflow job openings:

Data Engineer Airflow jobs near you

Senior Analytics Engineer

ARUP Laboratories, Inc

Salt Lake City, UT • On-site

$100 - $130/hr

Other

Re-posted 26 days ago

ARUP Laboratories rating

7.3

Company rating: 7.3 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

73rd of 121 rated laboratories

Job description

Location:

ARUP Main
500 Chipeta Way
Salt Lake City, UT 84102
USA

Schedule :
Monday - Friday (40 hrs/wk)
8:00 AM - 5:00 PM

Department: Biocomputing - 331

Primary Purpose

The Sr. Analytics Engineer is responsible for modeling our complex clinical and operational data into data products that capture how a world‑class laboratory functions. Works with Information Technology Staff, Medical Directors, and Lab Managers to understand the nuances of our laboratory operations to augment our data model for modern analytics tooling.

About ARUP

ARUP Laboratories is a national clinical and anatomic pathology reference laboratory and an enterprise of the University of Utah and its Department of Pathology. Based in Salt Lake City, Utah.

Essential Functions
  • Apply software engineering best practices (version control, modularity, automated testing, etc.) to our data transformation layer using industry‑standard frameworks such as dbt.
  • Architect and optimize the query layer to ensure performant analytics across our data lake and warehouse using serverless or managed technologies like Athena, Redshift, or BigQuery.
  • Own the ingestion and orchestration frameworks that stitch together disparate clinical data sources using modern tools such as Glue, Airflow, or Dagster.
  • Lead the modernization of ARUP’s data ontology for specific clinical and business domains such as Laboratory Operations, Revenue Cycle, Genomics, and Quality Control.
  • Contribute to the long‑term technical roadmap for our data platform, informing high‑level decisions on how to scale cloud‑based storage and compute to handle high‑volume data.
  • Collaborate with leadership to collect requirements and write the code for Secure, Timely, Accurate, Trusted, and Extensible (STATE) data products.
  • Other duties as assigned.
Physical and Other Requirements
  • Stooping: bending body downward and forward by bending spine at the waist.
  • Reaching: extending hand(s) and arm(s) in any direction.
  • Mobility: occasionally move between work sites and inside the office to access file cabinets, office machinery, etc.
  • Communicate: frequently communicate with others.
  • PPE: work in a biohazard laboratory environment that requires use of personal protective equipment in accordance with CDC and OSHA regulations and company policies.
  • ARUP Policies and Procedures: conduct oneself in compliance with all ARUP policies and procedures.
  • Sedentary Work: exert up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects.
  • Fine Motor Control: picking, pinching, typing or otherwise working primarily with fingers rather than with the whole hand.
  • Vision: having close, far, and peripheral visual acuity to perform a variety of tasks such as make general observations of depth and distance.
Qualifications

Education

  • Required: Bachelor's Degree or better in Computer Science or related field.
  • Preferred: Master's Degree or better in Computer Science or related field.

Experience

  • Required: Six plus (6+) years of professional experience in data engineering, analytics engineering, or a related technical field, with a proven track record of architecting scalable data models in a cloud environment.
  • Preferred: Advanced degrees or specialized certifications; Expert SQL & Modeling; Cloud Infrastructure experience (AWS, GCP, or Azure); Programming proficiency in Python or R.

Licenses & Certifications

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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