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Apache Airflow Python Jobs (NOW HIRING)

Purple Drive Technologies

AWS Data engineer

Owings, MD · On-site

$110.70K - $133K/yr

The ideal candidate will bring strong expertise in Python, PySpark, Apache Airflow, and AWS services , with a proven background in data migrations, enterprise data warehouses, and data lakes. Key ...

Capgemini Government Solutions

Python Developer

Washington, DC · On-site

$56.75 - $78.25/hr

Implement scalable data solutions using Python and cloud-based platforms such as Databricks and Apache Airflow. * Collaborate with data scientists and analysts to ensure seamless data accessibility ...

Tata Consultancy Service Limited

Data Engineer

O Fallon, MO · On-site

$100K - $140K/yr

Apache Airflow, Apache NiFi. • Programming: Java (Core), Python (for Airflow), Unix Shell Scripting. • Big Data/Storage: Apache Spark, MinIO, AWS S3. • Security: SSL/TLS, Certificate Management ...

Programmers.io

Lead Data Engineer

Austin, TX · On-site

$113.50K - $136.30K/yr

... Apache Airflow related modules, APIs o Setting up Python scripts on DataLab, scheduling processes, connecting with DataLake, S3 etc. o Data Pipeline automation o Strong Python programming skills o ...

Purple Drive Technologies

Senior Python Developer

Chicago, IL · On-site

$125.20K - $168.40K/yr

Overview: Senior Python Developer Role Overview We seek a seasoned Senior Python Developer with ... Experience with PySpark, Apache Airflow, or Kafka. * Knowledge of NoSQL databases (e.g., Cosmos DB)

Winaxis

Sr. Data Engineer with GCP

Bentonville, AR · On-site

$60/hr

... Scala, Python, Spark - GCP Cloud Services (Dataproc, GCS, BigQuery) - Apache Airflow - Experience in Retail (preferred) --- ### Key Responsibilities - Design, develop, and maintain big data ...

Purple Drive Technologies

Data Engineer

Bentonville, AR · On-site

$100.40K - $120.50K/yr

Implement and manage data processing workflows using Apache Airflow * Deploy and manage ... Strong hands-on experience with Java, Python, and Scala programming languages * Proficiency in API ...

Sarian, Inc.

Python Developer

New York, NY · On-site

$55 - $75.75/hr

... Apache Airflow, RabbitMQ, React, Cloud Foundry, Kubernetes, Docker • Experience with front-end ... in Python scripting OR Hands on experience in AWS/Azure as developer • Extremely good ...

CAYS Inc

Data Engineer

Jersey City, NJ

$119.50K - $143.50K/yr

Must have: -Python -Apache Airflow/DBT -Communication, both written & verbal -Kubernetes -OpenShift -8+ years of experience We are seeking a highly skilled Senior Data Engineer with 8+ years of hands ...

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How much do apache airflow python jobs pay per year?

As of May 31, 2026, the average yearly pay for apache airflow python in the United States is $141,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $163,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Apache Airflow Python Developer, and why are they important?

To thrive as an Apache Airflow Python Developer, you need expertise in Python programming, workflow orchestration concepts, and a solid understanding of data engineering principles, often backed by a degree in computer science or a related field. Familiarity with Airflow's DAGs, scheduling, and integration with cloud platforms (like AWS or GCP), as well as version control systems such as Git, is typically required. Strong problem-solving, collaboration, and communication skills help you efficiently design workflows and work with cross-functional teams. These competencies are crucial for building reliable, scalable data pipelines that support organizational data needs.

What are some common challenges faced by Apache Airflow Python developers when managing complex data pipelines?

Apache Airflow Python developers often encounter challenges such as handling task dependencies, ensuring reliability in scheduling, and troubleshooting failures in distributed environments. Managing dynamic workflows can require advanced Python scripting and a deep understanding of Airflow's DAG structure. Additionally, developers frequently collaborate with data engineers and analysts to optimize pipeline performance and maintain data integrity, making strong communication and problem-solving skills essential.

What is an Apache Airflow Python developer?

An Apache Airflow Python developer is a software engineer who specializes in building, deploying, and maintaining data workflows using Apache Airflow, primarily utilizing the Python programming language. They create Directed Acyclic Graphs (DAGs) in Python to automate and orchestrate complex data pipelines. Their responsibilities often include integrating various data sources, managing dependencies, monitoring task execution, and optimizing performance. This role is crucial in data engineering and ETL (Extract, Transform, Load) processes, ensuring reliable and scalable workflow automation.

What is the difference between Apache Airflow Python vs Data Engineer?

AspectApache Airflow PythonData Engineer
Primary FocusWorkflow orchestration and automationData pipeline development and management
Required SkillsPython scripting, DAG creation, schedulingSQL, ETL processes, cloud platforms
Work EnvironmentData workflows, automation toolsData warehouses, cloud environments
CertificationsPython, Apache Airflow certificationsData engineering certifications (e.g., Google Cloud, AWS)

While Apache Airflow Python specializes in automating and scheduling data workflows using Python, Data Engineers focus on designing, building, and maintaining data pipelines across various platforms. Both roles require Python skills, but Data Engineers typically have broader expertise in databases, cloud services, and data architecture.

Infographic showing various Apache Airflow Python job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 43% Physical, 49% Hybrid, and 8% Remote job distribution, with an average salary of $141,976 per year, or $68.3 per hour.

Software Engineer 3 - Linux/Bash/Python/Apache Airflow/SQL/Jupyter Notebook/NumPy/JSON

Captivation

Annapolis Junction, MD • On-site

Full-time

Posted 23 days ago

Job description

Job Summary:
Captivation is a company known for delivering timely solutions to its customers, and they are seeking a senior level software engineer to join their team. The role involves designing, implementing, and optimizing data ingress/egress pathways for efficient processing of analytics workloads.
Responsibilities:
• Designing, implementing, and optimizing data ingress/egress pathways to ensure efficient, scalable, and reliable processing of the organization’s analytics workloads.
Qualifications:
Required:
• Must currently hold a Top Secret/SCI U.S. Government security clearance with a favorable Polygraph, therefore all candidates must be a U.S. citizen
• Master's degree in Computer Science or related discipline from an accredited college or university, plus five (5) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.
• Bachelor's degree in Computer Science or related discipline from an accredited college or university, plus seven (7) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity
• Nine (9) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.
• Experience using the Linux CLI and Linux tools
• Experience developing Bash scripts to automate manual processes
• Recent software development experience using Python and Java
• Experience using Apache Airflow (DAG design, scheduling, operators, sensors) to orchestrate, schedule, and monitor complex workflows
• Experience with Distributed Big Data processing engines including Apache Spark
• Familiar with SQL technologies such as MySQL, MariaDB, and PostgreSQL for querying, joining, and aggregating large datasets
• Experience using Jupyter Notebook
• Experience with data wrangling and preprocessing using tools such as pandas, NumPy
• Experience working with structured, semi-structured, and unstructured data such as Parquet, JSON, CSV, XML
• Familiarity with data quality concepts, data validation, and anomaly detection
• Experience with Git Source Control System
Preferred:
• Familiar with HPC Job Scheduling tools including Slurm
• Experience with the Atlassian Tool Suite including Jira and Confluence
Company:
Build something to be proud of. Captivation is focused on engineering digital solutions for mission makers. Founded in 2014, the company is headquartered in Baltimore, USA, with a team of 11-50 employees. The company is currently Early Stage.

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