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Airflow Developer Jobs (NOW HIRING)

ClifyX

ReactJS with Azure developer

Chicago, IL · On-site

$56.75 - $70.25/hr

... Apache Airflow on Kubernetes (AKS) using Helm. • Writing DAGs in Python for ETL and data ... DevOps & Containerization • Docker -- multi-stage builds for React and Python/Node apps. • Helm ...

Data Airflow

Senior Accountant

Boise, ID · On-site

$64K - $80K/yr

... engineering, manufacturing, or industrial services environments. * Preferred: Experience with ASC 606 revenue recognition. * Preferred: Multi-state sales and use tax experience. Data Airflow is a ...

Data Airflow

Senior Accountant

Boise, ID · On-site

$64K - $80K/yr

... engineering, manufacturing, or industrial services environments. * Preferred: Experience with ASC 606 revenue recognition. * Preferred: Multi-state sales and use tax experience. Data Airflow is a ...

SmartIPlace

Python Developer [Onsite]

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Python Developer Location: Jersey City, NJ Requirement: We're seeking an experienced Python ... Design and implement Airflow DAGs to manage complex interdependent ETL workflows. * Migrate ...

FL HVAC Services

HVAC Duct Installer

Ocala, FL · On-site

$300 - $400/day

We make you better -- we train you in airflow engineering, system design, and building performance, not just installation * High-end, high-quality jobs -- expensive homes, discerning customers, work ...

Catalyst Brands

Lead Engineer -DevOps

Dallas, TX · On-site

$103K - $172K/yr

While current platforms include MicroStrategy, Snowflake, AWS, Airflow, and Tableau, this role requires a proactive, adaptable engineer who can continuously learn, evaluate, and integrate new tools ...

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Airflow Developer information

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How much do airflow developer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for airflow developer in the United States is $52.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $64.66 per hour, depending on experience, location, and employer.

What is an Airflow developer?

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 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.

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.

Does Airflow require coding?

Airflow developers typically need to have programming skills in Python, as workflows are defined using code. Coding knowledge is essential for creating, maintaining, and troubleshooting data pipelines in Airflow.

Is Airflow part of DevOps?

An Airflow Developer works with Apache Airflow, a platform used to programmatically author, schedule, and monitor workflows. While Airflow is often employed within DevOps environments to automate data pipelines and deployment processes, it is not inherently part of DevOps but complements DevOps practices by enabling automation and orchestration. Knowledge of CI/CD tools and infrastructure management is beneficial for such roles.
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Airflow Developer jobs near you
Infographic showing various Airflow Developer job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 2% Part Time, and 16% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.

Senior Integration Engineer (Astronomer Airflow Experience) - NYC, NY( Hybrid) - Contract

iPivot

New York, NY • On-site

$134K - $176K/yr

Other

Re-posted 24 days ago

Job description

Hi,
I am Suresh from IPivot. Please find the job description below for your reference. If interested, reply with an updated resume.
Role: Senior Integration Engineer (Astronomer Airflow Experience)
Location: NYC, NY Hybrid (3days/week onsite)
Duration: Contract
Note: Open for W2 Contract / Visa Transfers only
Job Description:
This position is for an Integration engineer with a background in Airflow, Python, Pyspark, SQL, Databricks and data warehousing for enterprise level systems.
The position calls for someone that is comfortable working with business users along with business analyst expertise.
Required Skills:
3+ years Astronomer/Airflow DAG development
5+ years Python coding experience.
5+ years - SQL Server based development of large datasets
5+ years with Experience with developing and deploying ETL pipelines using Databricks Pyspark.
Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake.
Experience in Data warehousing - OLTP, Dimensions, Facts, and Data modeling.
Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills.
Experience with Cloud based data architectures, messaging, and analytics.
Cloud certification(s).
Major Responsibilities:
Build and optimize data pipelines for efficient data ingestion, transformation and loading from various sources while ensuring data quality and integrity.
Design, develop, and deploy Spark program in data bricks environment to process and analyze large volumes of data.
Experience of Delta Lake, DWH, Data Integration, Cloud, Design and Data Modelling.
Proficient in developing programs in Python and SQL
Experience with Data warehouse Dimensional data modeling.
Working with event based/streaming technologies to ingest and process data.
Working with structured, semi structured and unstructured data.
Optimize Databricks jobs for performance and scalability to handle big data workloads.
Monitor and troubleshoot Databricks jobs, identify and resolve issues or bottlenecks.
Implement best practices for data management, security, and governance within the Databricks environment.
Experience designing and developing Enterprise Data Warehouse solutions.
Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process.
Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.
Education :
Minimally a BA degree within an engineering and/or computer science discipline
Master's degree strongly preferred
Thanks and Regards,
Suresh Durgam
Senior Recruiter
M: (732) 813-4401
E: durgams@ipivot.io
A: 405, Ridge Road, Dayton NJ 08810
W: ipivot.io