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Purple Drive Technologies

React JS with Azure

Chicago, IL · On-site

$56.75 - $70.25/hr

Chicago, IL and Atlanta, GA ReactJS with Azure (Majority work), Python, Airflow, Spark with Kubernetes. And ETL Data knowledge. The ideal candidate is a ReactJS frontend engineer with Azure cloud ...

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$149.5K

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How much do airflow jobs pay per year?

As of Jun 6, 2026, the average yearly pay for airflow in the United States is $149,544.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $167,000.00 per year, depending on experience, location, and employer.

What is an Airflow job?

An Airflow job typically involves designing, developing, and maintaining workflows using Apache Airflow, an open-source workflow automation tool. Professionals in this role create data pipelines, schedule tasks, and optimize workflow execution for reliability and efficiency. They work with data engineering teams to ensure smooth data processing and integration across various systems. Knowledge of Python, DAG creation, and troubleshooting Airflow issues is essential for success in this role.

What are the key skills and qualifications needed to thrive in the Airflow position, and why are they important?

To thrive as an Apache Airflow Engineer, you need a solid background in Python programming, workflow orchestration, and data engineering concepts, often supported by a degree in computer science or a related field. Familiarity with tools like Apache Airflow, cloud platforms (such as AWS or GCP), and version control systems (like Git) is highly beneficial, along with relevant certifications in big data or cloud technologies. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for managing complex workflows and collaborating with cross-functional teams. These skills ensure efficient data pipeline automation, maintain data integrity, and enable seamless cooperation in modern data-driven environments.

What are the typical responsibilities of someone working with Apache Airflow?

Professionals working with Apache Airflow are primarily responsible for designing, developing, and maintaining data pipelines that automate the flow of information between systems. Their daily tasks often include writing and optimizing DAGs (Directed Acyclic Graphs), monitoring workflow execution, troubleshooting errors, and ensuring data quality across processes. They frequently collaborate with data engineers, analysts, and other IT teams to integrate new data sources and support evolving business needs. This role demands a proactive approach to addressing data pipeline issues and a strong commitment to maintaining reliable and efficient workflow orchestration.

More about Airflow jobs
What cities are hiring for Airflow jobs? Cities with the most Airflow job openings:
What are the most commonly searched types of Airflow jobs? The most popular types of Airflow jobs are:
What states have the most Airflow jobs? States with the most job openings for Airflow jobs include:
What job categories do people searching Airflow jobs look for? The top searched job categories for Airflow jobs are:
Airflow jobs near you
Infographic showing various Airflow job openings in the United States as of May 2026, with employment types broken down into 100% Nights. Highlights an 100% In-person job distribution, with an average salary of $149,544 per year, or $71.9 per hour.
Senior Integration Engineer (Astronomer Airflow Experience) - NYC, NY( Hybrid) - Contract

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

iPivot

New York, NY • On-site

$134K - $176K/yr

Other

Posted 12 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