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Airflow Engineer Jobs (NOW HIRING)

IDC Technologies

Data Engineer in Sunnyvale CA

Sunnyvale, CA · On-site

$134.40K - $161.40K/yr

Should be familiar with modern data platforms like Apache Presto or AWS Athena, and workflow tools like Apache Airflow. Engineers will write data collection scripts, aggregation algorithms, and ...

IDC Technologies

Data Engineer in Sunnyvale CA

Sunnyvale, CA

$134.40K - $161.40K/yr

Should be familiar with modern data platforms like Apache Presto or AWS Athena, and workflow tools like Apache Airflow. Engineers will write data collection scripts, aggregation algorithms, and ...

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How much do airflow engineer jobs pay per hour?

As of May 30, 2026, the average hourly pay for airflow engineer in the United States is $55.99, according to ZipRecruiter salary data. Most workers in this role earn between $40.14 and $74.52 per hour, depending on experience, location, and employer.

What is the difference between Airflow Engineer vs Data Engineer?

AspectAirflow EngineerData Engineer
CredentialsOften requires knowledge of Python, SQL, and cloud platformsRequires similar skills plus database management and ETL experience
Work EnvironmentFocuses on designing and maintaining workflows in data pipelinesBuilds and manages data infrastructure and pipelines
Industry UsageCommon in data-driven companies, analytics teams, and cloud servicesUsed across industries for data integration, storage, and processing

While both roles involve data workflows, an Airflow Engineer specializes in creating and managing workflows using Apache Airflow, whereas a Data Engineer handles broader data infrastructure and pipeline development. The roles often overlap, but the Airflow Engineer focuses more on workflow orchestration within the data ecosystem.

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Airflow Engineer jobs near you
Infographic showing various Airflow Engineer job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 13% Physical, and 87% Remote job distribution, with an average salary of $116,463 per year, or $56 per hour.

Senior Airflow Engineer / Data Orchestration Specialist

Purple Drive Technologies

Phoenix, AZ • On-site

$105.20K - $143K/yr

Full-time

Posted 6 days ago

Job description

Overview:
Job Title: Airflow Engineer - Data Pipeline Automation
Location: Phoenix, AZ (Onsite | Contract)
Employment Type: Contract
Job Summary
We are seeking a highly skilled Airflow Engineer with expertise in designing, optimizing, and maintaining large-scale data workflows. The ideal candidate will have deep knowledge of Airflow architecture, DAG development, CI/CD pipeline management, and cloud integrations (Azure/AWS). This is an onsite contract role in Phoenix, AZ.
Key Responsibilities
  • Airflow Architecture: Design, configure, and optimize Airflow environments, including schedulers, executors (Celery, Kubernetes), and plugins.
  • DAG Development: Build complex, modular, and reusable DAGs to automate data pipelines and workflows.
  • Performance Optimization: Identify bottlenecks and implement orchestration and scheduling best practices.
  • Cloud Integration: Connect Airflow with Azure Data Factory, Databricks, Azure Storage, AWS, and other cloud-native services.
  • CI/CD Management: Develop and maintain CI/CD pipelines for DAG deployment, testing, and version control using Azure DevOps or similar tools.
  • Monitoring & Alerting: Implement logging, monitoring, and alerting frameworks for Airflow jobs to ensure reliability.
  • Documentation & Mentoring: Maintain technical documentation and conduct knowledge-sharing/mentorship sessions with teams.
  • Troubleshooting: Provide expert-level support for Airflow-related incidents and contribute to root cause analysis.
Required Skills
  • Strong expertise in Apache Airflow (architecture, schedulers, executors, plugins).
  • Proficiency in Python (must) and Java (nice to have) for DAG and pipeline development.
  • Hands-on experience with cloud platforms (Azure, AWS) - Data Factory, Databricks, Synapse, Functions, Storage.
  • Familiarity with CI/CD tools (Azure DevOps, Jenkins, GitLab CI/CD).
  • Experience with Docker and Kubernetes for containerized Airflow deployments.
  • Strong troubleshooting, debugging, and performance optimization skills.
  • Excellent communication and collaboration skills.

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