1

Airflow Developer Jobs in Minnesota (NOW HIRING)

Data Engineer

Eagan, MN · On-site

$116K - $140K/yr

Data Engineer | Eagan, Minnesota, United States Data Engineer - Tech Lead (GCP, Apache Beam, Airflow) Location: Eagan, MN (Remote Eligible) | Job Type: C2C About the Role Join a dynamic Rebate Data ...

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

As a Developer, you will build and enhance data pipelines, APIs, and cloud-based services on Google ... SQL (5+ years) Apache Airflow (Cloud Composer) (3+ years) Google Cloud Platform (BigQuery, Dataflow ...

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

As a Developer, you will build and enhance data pipelines, APIs, and cloud-based services on Google ... Skills Overview: • SQL (5+ years) • Apache Airflow (Cloud Composer) (3+ years) • GCP ...

Data Engineer

Minneapolis, MN · Hybrid

$50 - $55/hr

As a Developer, you will build and enhance data pipelines, APIs, and cloud-based services on Google ... Skills Overview: • SQL (5+ years) • Apache Airflow (Cloud Composer) (3+ years) • GCP ...

Senior Data Engineer

Eden Prairie, MN · On-site

$91K - $163K/yr

Create and maintain data pipelines using Airflow and Snowflake as primary tools * Develop SQL ... Exposure to DevOps methodology * Proficiency in SQL, including window functions and advanced ...

Data Engineer

Eagan, MN · On-site

$95 - $110/hr

... and Agile and DevOps best practices. Participate in staffing plans to identify subject matter ... Experience building and supporting orchestration workflows using Apache Airflow and/or Google Cloud ...

Senior Data Engineer

Eden Prairie, MN · On-site

$108K - $146K/yr

... Airflow and Snowflake as primary tools • Develop SQL stored procedures to perform complex ... DevOps methodology • Proficiency in SQL, including window functions and advanced features • ...

Electrical Controls Engineer This position involves working closely with the manufacturing ... Design and calculate burner, airflow, and electrical requirements. * Provide startup and ...

Strong knowledge of HVAC systems, including pumps, valves, airflow, fans, and related mechanical ... Test engineering experience in a research and development or laboratory setting. * Thorough ...

FastAPI, Pydantic, dbt, Airflow, and LangGraph.- Experience building CLI tooling and utilizing task runners like `just` to craft a fantastic developer experience for your teams. The Perks URBN offers ...

next page

Showing results 1-20

Airflow Developer information

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 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 organizations. Skills in Python, cloud platforms, and workflow management tools contribute to strong job prospects in this field.

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. Such compensation is less common for entry-level positions and usually involves additional bonuses or equity components.

What engineer makes $500,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, or cloud architecture can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in large tech companies or startups with significant growth potential.

What jobs pay $500,000 a year in the US?

High-paying roles for Airflow Developers or similar data engineering professionals can reach or exceed $500,000 annually, especially with seniority, specialized skills, and experience in cloud platforms like AWS or GCP. Such compensation often includes base salary, bonuses, and stock options, typically found in senior or executive-level positions within large tech companies or financial institutions.
What are popular job titles related to Airflow Developer jobs in Minnesota? For Airflow Developer jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Airflow Developer jobs? Cities in Minnesota with the most Airflow Developer job openings:
Infographic showing various Airflow Developer job openings in Minnesota as of July 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution.
Data Engineer

$116K - $140K/yr

Full-time

Posted 18 days ago


Job description

Data Engineer | Eagan, Minnesota, United States Data Engineer - Tech Lead (GCP, Apache Beam, Airflow) Location: Eagan, MN (Remote Eligible) | Job Type: C2C About the Role Join a dynamic Rebate Data Warehouse team as a tech lead/principal data engineer. You'll drive strategic initiatives, lead engineering best practices, and mentor a collaborative team of nine data engineers. This is a rare opportunity to shape the future of our data platform, influence roadmap decisions, and play a key role in critical projects within a highly visible healthcare or financial environment. Responsibilities - Design, build, and optimize robust, scalable ETL/ELT data pipelines using GCP technologies, Apache Beam, Airflow, Python, and SQL - Lead technical decision-making, set engineering standards, and ensure data quality and reliability across the platform - Guide and mentor junior and mid-level engineers through code reviews, technical support, and knowledge sharing - Collaborate closely with product owners and stakeholders to develop and execute data engineering strategy - Drive continuous improvement and innovation within the Rebate Data Warehouse ecosystem Required Skills and Experience - Hands-on experience with GCP Data Engineering tools: Google Cloud Storage, BigQuery, Looker Studio, Cloud Composer, Gsutil, Dataplex - Deep knowledge of Apache Beam and Apache Airflow - Strong proficiency in Python and SQL for data processing and transformation - Proven track record using GitHub in a collaborative environment - Experience in PBM, healthcare, or financial industry data environments - Flexibility, adaptability, and excellent communication skills Preferred Skills - Java familiarity or experience - Exposure to SnapLogic Benefits - Opportunity to drive strategy and influence technology direction - Leadership and mentorship opportunities to advance your career - Collaborative, supportive team culture - Exposure to cutting-edge cloud and data technologies How to Apply Ready to take the lead in data engineering and make a real impact? Submit your resume today to join our high-performing team!

Indotronix logo

About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US