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Airflow Developer Jobs in Utah (NOW HIRING)

AutoSavvy

Data Engineer

Woods Cross, UT · On-site

$108K - $129K/yr

Experience orchestrating data workflows (e.g., Azure Functions, Container Apps, Airflow, or similar ... Understanding of CI/CD practices and tooling (Azure DevOps preferred) * Experience optimizing data ...

Patientco

Site Reliability Engineer II

Lehi, UT · On-site

$53.50 - $71/hr

... DevOps, or infrastructure engineering. * Strong understanding of cloud platforms (AWS, GCP, or ... Exposure to data pipeline tools (e.g., Apache Airflow, Kafka, Spark). * Familiarity with regulatory ...

Crew Career Center

Site Reliability Engineer II

Lehi, UT · On-site

$53.50 - $71/hr

... DevOps, or infrastructure engineering. * Strong understanding of cloud platforms (AWS, GCP, or ... Exposure to data pipeline tools (e.g., Apache Airflow, Kafka, Spark). * Familiarity with regulatory ...

Adobe

Senior Platform & AI Engineer

Lehi, UT

$51.75 - $67/hr

Customer-facing Engineers who excel at solving complex technical challenges, delighting customers ... Apache Airflow, DynamoDB, MySQL 2+ years working with AWS AI/ML and agentic services such as ...

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 ...

LVT

Senior Data Engineer

American Fork, UT

$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 ...

ARUP

Senior Analytics Engineer

Salt Lake City, UT

$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 ...

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 ...

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 ...

RED CAT HOLDINGS

Data Engineer

Salt Lake City, UT

$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 ...

Adobe

Sr. Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Customer facing Engineers who enjoy tackling complex technical challenges, have a passion for ... with Apache Airflow, MongoDB, MySQL Strong capacity to manage numerous projects are a must ...

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Airflow Developer information

What is the salary of Airflow developer?

The salary of an Airflow developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and the complexity of projects. Skilled developers with expertise in Python, cloud platforms, and data pipeline management tend to earn higher salaries.

What are Airflow Developers?

Airflow Developers are professionals who design, build, and maintain data workflows using Apache Airflow, an open-source platform for orchestrating complex computational workflows and data processing pipelines. They are responsible for writing, scheduling, and monitoring tasks (DAGs) that automate data movement and transformation across systems. Airflow Developers work closely with data engineers, analysts, and other stakeholders to ensure reliable and efficient data pipeline automation. Their expertise includes Python programming, Airflow configuration, troubleshooting, and best practices for scalable workflow management.

What is an Airflow developer?

An Airflow developer is a software professional who designs, builds, and maintains data workflows using Apache Airflow. They typically have skills in Python, data engineering, and workflow orchestration, and work to automate and schedule complex data pipelines in cloud or on-premises environments.

What is the difference between Airflow Developer vs Data Engineer?

AspectAirflow DeveloperData Engineer
Required CredentialsKnowledge of Apache Airflow, Python, SQLData modeling, SQL, Python, cloud platforms
Work EnvironmentFocus on workflow orchestration, automationData pipeline development, storage, processing
Industry UsageTech, finance, healthcare for workflow automationBroad industries for data infrastructure

While both roles involve working with data and Python, an Airflow Developer specializes in designing and maintaining workflow automation using Apache Airflow. In contrast, a Data Engineer builds and manages data pipelines and infrastructure across various tools and platforms. The roles often overlap but differ mainly in scope and focus.

What are the key skills and qualifications needed to thrive as an Airflow Developer, and why are they important?

To thrive as an Airflow Developer, you need strong programming skills in Python, experience with data pipelines, and a solid understanding of workflow orchestration concepts. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and version control systems such as Git are typically required, along with knowledge of containerization tools like Docker. Analytical thinking, attention to detail, and effective communication are key soft skills for collaborating with data teams and troubleshooting complex workflows. These competencies ensure reliable, scalable, and maintainable data pipeline solutions that support organizational data needs.

What are some common challenges Airflow Developers face when managing complex data pipelines, and how can these be addressed?

Airflow Developers often encounter challenges such as managing dependencies between tasks, handling large-scale workflows, and ensuring reliable pipeline execution. To address these, it's essential to design modular DAGs (Directed Acyclic Graphs), implement robust error handling, and use features like sensors and retries strategically. Collaboration with data engineers and stakeholders is also key for troubleshooting and optimizing workflows. Effective monitoring and logging practices further help in quickly identifying and resolving issues.

Is Airflow in demand?

Airflow developers are in high demand due to the increasing need for data pipeline orchestration in data engineering and analytics. Skills in Python, cloud platforms, and workflow management tools contribute to job opportunities across various industries.

What jobs in the US pay 300,000 a year?

For an Airflow Developer, earning $300,000 annually typically requires senior-level experience, specialized skills in data pipeline orchestration, and often working in large organizations or consulting roles. High salaries are common in roles involving complex data infrastructure, cloud platforms, and leadership responsibilities. Certifications like Apache Airflow or cloud provider credentials can also contribute to higher compensation.
What are popular job titles related to Airflow Developer jobs in Utah? For Airflow Developer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Airflow Developer jobs in Utah look for? The top searched job categories for Airflow Developer jobs in Utah are:
What cities in Utah are hiring for Airflow Developer jobs? Cities in Utah with the most Airflow Developer job openings:
Airflow Developer jobs near you

Data Engineer - Assistant Vice President

iCapital

Salt Lake City, UT • On-site, Remote

$100K - $135K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

iCapital is seeking an exceptional Data Engineer to help scale the data foundations that power the business. This individual will design, build, and optimize the data pipelines and infrastructure that enable data to be a strategic asset across the organization. This role is highly collaborative and will partner with the Product, Engineering, Analytics teams and business stakeholders to quickly understand evolving challenges and deliver scalable, maintainable, and highquality solutions.

Data sits at the core of iCapital's operations. The firm relies on clean, reliable, wellstructured data to drive decisionmaking, enhance client experiences, and support a rapidly growing product suite. This individual will be responsible for moving and transforming data and developing a deep understanding of the business context behind it and help teams act on insights.

Responsibilities

  • Develop and automate large scale, high-performance data platform pipelines and infrastructure to drive iCapital business growth and enable data-driven decision making.
  • Design and develop reusable components and frameworks for ingestion, cleansing, and data quality.
  • Streamline the ingestion of raw data from various sources into our Data Lake and Data Warehouse.
  • Design data models for optimal storage and retrieval that represent the tangible business domains across iCapital's ecosystem.
  • Coordinate closely with the Operations, Sales, and Product Development teams daily to push iCapital's FinTech strategy and improve the overall profitability of the business.

Qualifications

  • 6-10 years of professional experience in a data engineering or data-driven software engineering role
  • Exceptional Python and SQL skills
  • Extensive experience with orchestration frameworks (Prefect, Airflow, Dagster, etc.)
  • Deep understanding of OLAP (Snowflake, Databricks) and OLTP (PostgreSQL, MongoDB) databases and ELT frameworks (dbt, dlthub)
  • Experience developing and deploying code to Cloud environments (AWS, GCP, Azure)
  • Possess a strong grasp of object-oriented and functional programming and an ability to write easy-to-scale, high-quality code
  • Experience leveraging stream processing frameworks (Kafka, Flink, Spark)
  • Knowledge of infrastructure-as-code frameworks (terraform or cloud formation)
  • Detail-oriented and able to multitask and work in a fast-paced environment
  • Able to work independently while also being a strong team player
  • Excellent written and verbal communication
  • Passionate about learning and mastering cutting-edge technologies
  • Professional experience with JVM based languages such as Scala, Java, and Kotlin is preferred
  • Knowledge of financial markets and financial instruments is preferred

Benefits

The base salary range for this role is $100,000 to $135,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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