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Airflow Jobs in Georgia (NOW HIRING)

Start Up Technician

Atlanta, GA

$28.75 - $37.50/hr

Verify equipment installation, perform airflow testing, balancing verification, refrigerant charging, and operational testing. Troubleshoot mechanical, refrigeration, electrical, controls, and ...

Data Engineer

Atlanta, GA · On-site

$60 - $68/hr

Top Skills' Details 1- Databricks data modeling w/ Python 2- Azure ETL / Data analysis 3- Spark/Hive/Airflow 5-10 Years Focused on manipulating data in a software engineering capacity. Some of that ...

Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

Proficiency in Databricks, Azure, Spark, Hive, and Airflow is required. Key Responsibilities Data Engineering & Pipeline Development * Design, build, and maintain scalable and reliable data pipelines

Lead Platform Engineer

Atlanta, GA · On-site

$98K - $129K/yr

Architect and evolve the Dataflow platform (Airflow 3.x, SparkKubernetesOperator, FlinkKubernetesOperator) * Lead a team of 3-5 engineers; mentor, review code, set technical direction * Design and ...

Lead Platform Engineer

Atlanta, GA · On-site

$98K - $129K/yr

Architect and evolve the Dataflow platform (Airflow 3.x, SparkKubernetesOperator, FlinkKubernetesOperator) * Lead a team of 3-5 engineers; mentor, review code, set technical direction * Design and ...

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Showing results 1-20

Airflow information

See Georgia salary details

$18.6K

$126.3K

$162.5K

How much do airflow jobs pay per year?

As of Aug 13, 2026, the average yearly pay for airflow in Georgia is $126,273.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,700.00 and $141,000.00 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 roles in Airflow?

Roles in Airflow typically include developers, data engineers, and DevOps engineers who design, build, and maintain workflows using Airflow's DAGs and operators. These roles require knowledge of Python, scheduling, and monitoring workflows, often involving collaboration within data teams. Responsibilities may also include troubleshooting, optimizing performance, and ensuring reliable data pipeline execution.

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.

What are the most commonly searched types of Airflow jobs in Georgia?

The most popular types of Airflow jobs in Georgia are:

What are popular job titles related to Airflow jobs in Georgia?

For Airflow jobs in Georgia, the most frequently searched job titles are:

What cities in Georgia are hiring for Airflow jobs?

Cities in Georgia with the most Airflow job openings:

Infographic showing various Airflow job openings in Georgia as of August 2026, with employment types broken down into 87% Full Time, 5% Part Time, 1% Temporary, and 7% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $126,273 per year, or $60.7 per hour.

Python Data Engineer (Airflow, Kafka, Spark) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Medical, Retirement, PTO

Re-posted 10 days ago


Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Python Data Engineer (Airflow, Kafka, Spark)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a proficient Python Data Engineer to build and manage data pipelines using Airflow, Kafka, and Spark. This role focuses on developing scalable ETL/ELT workflows for streaming and batch data processing.
Key Responsibilities
  • Design and implement data pipelines using Python with Airflow for orchestration and scheduling.
  • Integrate Kafka for streaming data and Spark for processing large-scale datasets.
  • Develop ETL/ELT workflows to transform and load data into storage or analytics systems.
  • Optimize pipelines for performance, reliability, and scalability in distributed environments.
  • Collaborate with data teams to ensure data quality and availability for downstream applications.
  • Monitor and troubleshoot data workflows to maintain seamless operations.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience as a Data Engineer with Python, focusing on Airflow, Kafka, and Spark.
  • Proficiency in building ETL/ELT pipelines for streaming and batch data processing.
  • Experience with Kafka for real-time data streaming and Spark for distributed data processing.
  • Strong understanding of data engineering principles and pipeline automation.

Preferred Qualifications
  • Familiarity with alternative orchestration tools like Luigi for data workflow management.
  • Exposure to cloud platforms like AWS or GCP for hosting data pipelines.
  • Knowledge of monitoring tools like Grafana for pipeline observability.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Python, Airflow, Kafka, Spark, Data Engineer, ETL, ELT, Streaming