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Apache Airflow Python Jobs (NOW HIRING)

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

$113K - $136K/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 ...

Ruri Software Technologies LLC

Druid Architect

GitLab, Linux, Apache Druid, Google Compute Engine, Google Cloud Platform, BigQuery, Apache Airflow * Secondary Skills : Python, Shell Script, Pyspark * Degree : B.E-Bachelor Of Engineering, B.Tech - ...

New

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 ...

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 ...

Gigatec Engineering

Data Analytics Engineer

Annapolis, MD · On-site

$113K - $136K/yr

Recent software development experience using Python and Java * Experience using Apache Airflow (DAG design, scheduling, operators, sensors) to orchestrate, schedule, and monitor complex workflows

CAYS Inc

Data Engineer

Jersey City, NJ

$119K - $143K/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 ...

Reflexive Concepts

Software Engineer II

Annapolis Junction, MD · On-site

$99K - $136K/yr

... Python and Java • Experience using Apache Airflow (DAG design, scheduling, operators, sensors) to orchestrate, schedule, and monitor complex workflows • Experience using Distributed Big Data ...

Neshent Tech

ReactJS Developer With Azure Cloud

Chicago, IL

$56.75 - $70.25/hr

Azure App Services, AKS, ACR, Azure Key Vault, Azure Storage, Azure DevOps. * Python scripting and Apache Airflow. * PySpark and Spark on Kubernetes. * Docker, Helm, kubectl, and CI/CD pipeline ...

Purple Drive

React JS with Azure

Chicago, IL

$56.75 - $70.25/hr

... Apache Airflow on Kubernetes (AKS) using Helm ([guide here]2). • Writing DAGs in Python for ETL and data processing. • Integrating Airflow with Azure Blob Storage, Data Lake, or SQL DB. • Using ...

VTG

Senior Data Engineer

Herndon, VA

$109K - $148K/yr

Python * Structured Query Language (SQL) * Apache Airflow * Apache Hop * Experience normalizing raw, unstructured, and structured data * Ability to work independently and collaboratively * Experience ...

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Apache Airflow Python information

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$55K

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$195K

How much do apache airflow python jobs pay per year?

As of Jun 20, 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 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.

Are Python coders still in demand?

Python developers, including those working with Apache Airflow, are in high demand due to Python's versatility in data engineering, automation, and cloud environments. Skills in frameworks, scripting, and cloud platforms increase employability, and Python remains a core language in many tech roles. Continuous learning and certifications can further enhance job prospects.

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.

Is Apache Airflow in demand?

Apache Airflow Python developers are in high demand due to the increasing need for workflow automation and data pipeline management in industries like tech, finance, and healthcare. Skills in Python, cloud platforms, and orchestration tools enhance job prospects, with many roles requiring experience in deploying and maintaining Airflow environments.

What is the highest paying job in Python?

The highest paying Python-related jobs typically include roles such as Machine Learning Engineer, Data Scientist, and Software Architect, especially in industries like finance, technology, and healthcare. These positions often require advanced skills, experience, and sometimes certifications, with salaries exceeding six figures in many regions.

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.

Does Apache Airflow use Python?

Yes, Apache Airflow is primarily written in Python and uses Python scripts for defining workflows and tasks. Python knowledge is essential for developing, maintaining, and troubleshooting Airflow DAGs and operators.

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.
Infographic showing various Apache Airflow Python job openings in the United States as of June 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person 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 Software

Annapolis, MD • On-site

$130K - $270K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

Build to something to be proud of.
Captivation has built a reputation on providing customers exactly what is needed in a timely manner. Our team of engineers take pride in what they develop and constantly innovate to provide the best solution. Captivation is looking for software developers who can get stuff done while making a difference in support of the mission to protect our country.
Description
Captivation Software is looking for a senior level software engineer who shall possess extensive expertise in dataflow design, data transport mechanisms, and Apache Spark based distributed processing. In this role, the Software Engineer shall be responsible for designing, implementing, and optimizing data ingress/egress pathways to ensure efficient, scalable, and reliable processing of the organization's analytics workloads.
Requirements
Security Clearance:
  • 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
Minimum Qualifications:
  • 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.
Required Skills:
  • 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
Desired Skills:
  • Familiar with HPC Job Scheduling tools including Slurm
  • Experience with the Atlassian Tool Suite including Jira and Confluence

This position is open for direct hires only. We will not consider candidates from third party staffing/recruiting firms.
Benefits
  • Annual Salary: $130,000 - $270,000 (Depends on the Years of Experience)
  • Up to 20% 401k contribution (No Matching Required and Vested from Day 1)
  • Above Market Hourly Rates
  • $3,600 HSA Contribution
  • 6 Weeks Paid Time Off
  • Company Paid Employee Medical/Dental/Vision Insurance/Life Insurance/Short-Term & Long-Term Disability/AD&D

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