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Airflow Developer Jobs in Washington (NOW HIRING)

Data Analytics Engineer

Annapolis, MD · On-site

$113K - $136K/yr

... Data Engineering role, you'll get to build the workflow engines behind the curtain, designing ... Experience using Apache Airflow (DAG design, scheduling, operators, sensors) to orchestrate ...

Lead Software Developer

Baltimore, MD · On-site

$110K - $138K/yr

Deep functional experience with EKS, Aurora, MSK, DBT, Airflow, and Flink is a strong plus. \n * In ... Familiarity with a variety of programming styles (e.g., OO, functional) and in\-depth knowledge of ...

Senior Database Developer (5480)

Washington, DC · On-site

$120K - $163K/yr

We are seeking a Senior Cloud Database Developer to serve as the core database authority for the ... Direct experience configuring database targets and connection pools for Apache Airflow, AWS Glue ...

Software Engineer II

Annapolis, MD · On-site

$96K - $132K/yr

The selected engineer will create and maintain data workflows and automation pipelines built on Apache Airflow, delivering reliable, scalable, and observable workflow orchestration that supports data ...

Senior Data Engineer

Herndon, VA · On-site

$109K - $148K/yr

Familiarity with Apache Airflow and Apache Hop will be beneficial as you build new and repeatable ... Bachelor's degree in computer science, Software Engineering, or related field. Required Skills

Senior Data Engineer

Chantilly, VA · On-site

$109K - $148K/yr

Familiarity with Apache Airflow and Apache Hop will be beneficial as you build new and repeatable ... Bachelor's degree in computer science, Software Engineering, or related field. Required Skills

Required : • Python (MUST) • AWS Airflow, Lambda, Kinesis, SQS and DynamoDB (NEEDED) • ... Python Developer with a strong portfolio of projects • Bachelor's degree in Computer Science ...

Data Engineer

Ashburn, VA · On-site

$145K - $160K/yr

Configures structured data flows using Apache Airflow, AWS Glue jobs, Spark scripts, and Kafka topics under guidance from senior engineering personnel. * Performs data preparation tasks including ...

Showing results 21-40

Airflow Developer information

What is an Airflow developer?

Airflow Developers are professionals who design, build, and maintain data workflows using Apache Airflow, an open-source platform for orchestrating complex computational workflows and data processing pipelines. They are responsible for writing, scheduling, and monitoring tasks (DAGs) that automate data movement and transformation across systems. Airflow Developers work closely with data engineers, analysts, and other stakeholders to ensure reliable and efficient data pipeline automation. Their expertise includes Python programming, Airflow configuration, troubleshooting, and best practices for scalable workflow management.

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

To thrive as an Airflow Developer, you need strong programming skills in Python, experience with data pipelines, and a solid understanding of workflow orchestration concepts. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and version control systems such as Git are typically required, along with knowledge of containerization tools like Docker. Analytical thinking, attention to detail, and effective communication are key soft skills for collaborating with data teams and troubleshooting complex workflows. These competencies ensure reliable, scalable, and maintainable data pipeline solutions that support organizational data needs.

What are some common challenges Airflow developers face when managing complex data pipelines, and how can these be addressed?

Airflow Developers often encounter challenges such as managing dependencies between tasks, handling large-scale workflows, and ensuring reliable pipeline execution. To address these, it's essential to design modular DAGs (Directed Acyclic Graphs), implement robust error handling, and use features like sensors and retries strategically. Collaboration with data engineers and stakeholders is also key for troubleshooting and optimizing workflows. Effective monitoring and logging practices further help in quickly identifying and resolving issues.

What is the difference between Airflow Developer vs Data Engineer?

AspectAirflow DeveloperData Engineer
Required CredentialsKnowledge of Apache Airflow, Python, SQLData modeling, SQL, Python, cloud platforms
Work EnvironmentFocus on workflow orchestration, automationData pipeline development, storage, processing
Industry UsageTech, finance, healthcare for workflow automationBroad industries for data infrastructure

While both roles involve working with data and Python, an Airflow Developer specializes in designing and maintaining workflow automation using Apache Airflow. In contrast, a Data Engineer builds and manages data pipelines and infrastructure across various tools and platforms. The roles often overlap but differ mainly in scope and focus.

Does Airflow require coding?

Airflow developers typically need to have programming skills in Python, as workflows are defined using code. Coding knowledge is essential for creating, maintaining, and troubleshooting data pipelines in Airflow.

Is Airflow part of DevOps?

An Airflow Developer works with Apache Airflow, a platform used to programmatically author, schedule, and monitor workflows. While Airflow is often employed within DevOps environments to automate data pipelines and deployment processes, it is not inherently part of DevOps but complements DevOps practices by enabling automation and orchestration. Knowledge of CI/CD tools and infrastructure management is beneficial for such roles.

What cities in Washington are hiring for Airflow Developer jobs?

Cities in Washington with the most Airflow Developer job openings:

Infographic showing various Airflow Developer job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, 8% Hybrid, and 25% Remote job distribution.

Data Analytics Engineer

Gigatec Engineering

Annapolis, MD • On-site

$113K - $136K/yr

Full-time

Medical, Retirement

Re-posted 6 days ago


Job description

Perks and Benefits
  • 100% Paid Healthcare
  • 10% 401k in every paycheck
  • 100% Fully Vested!

NOTE - Our positions require a Top Secret clearance, as well as the favorable completion of a polygraph. Applicants must be authorized to work in the U.S. We are unable to sponsor an employment Visa.
What You'll Be Doing (We don't love the bullet points, but we love the work!)
In this key Data Engineering role, you'll get to build the workflow engines behind the curtain, designing reliable Apache Airflow pipelines that keep data moving cleanly, efficiently, and on schedule for analytics and operational needs.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 using Distributed Big Data processing engines including Apache Spark
  • Experience with containerization technologies such as Docker, containerd, and Podman
  • Experience with Git Source Control System
Desired Skills
  • Experience using the Atlassian Tool Suite (JIRA, Confluence)
  • Familiar with AWS Cloud Services and Infrastructure
  • Appreciates a sense of humor and the occasional well-timed joke. 😄