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Airflow Developer Jobs in Washington (NOW HIRING)

Gromelski and Associates, Inc.

Be Seen First

Data Center Engineer/Architect

Fairfax, VA · On-site

$135K - $160K/yr

... o Airflow engineering (hot isle / cold isle containment) o Liquid cooling (direct to chip, heat exchangers) o Head density management (KW/rack vs per volume) o CFD based thermal modeling · Looking ...

ICONMA

Python developer

Mclean, VA · On-site

$51 - $70.25/hr

... Apache Airflow, dbt, or similar. • Experience integrating and ingesting data from multiple ... with DevOps, technical teams, business stakeholders, and external vendors. • Demonstrated ...

Purple Drive Technologies

AWS Data engineer

Owings, MD · On-site

$110K - $133K/yr

Overview: AWS Data Engineer Location: Owings Mills, MD - Hybrid Onsite (LOCAL CANDIDATES ONLY ... The ideal candidate will bring strong expertise in Python, PySpark, Apache Airflow, and AWS ...

ICONMA

Senior Python Developer

Mclean, VA · On-site

$123K - $165K/yr

... Apache Airflow, dbt, or similar. • Experience integrating and ingesting data from multiple ... with DevOps, technical teams, business stakeholders, and external vendors. • Demonstrated ...

Reflexive Concepts

Software Engineer II

Annapolis Junction, MD · On-site

$99K - $136K/yr

In this role, the engineer will design and maintain data workflows and automation pipelines using Apache Airflow, building reliable, scalable, and observable orchestration solutions that support data ...

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Airflow Developer information

What is the salary of Airflow developer?

The salary of an Airflow developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and the complexity of projects. Skilled developers with expertise in Python, cloud platforms, and data pipeline management tend to earn higher salaries.

What are Airflow Developers?

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 is an Airflow developer?

An Airflow developer is a software professional who designs, builds, and maintains data workflows using Apache Airflow. They typically have skills in Python, data engineering, and workflow orchestration, and work to automate and schedule complex data pipelines in cloud or on-premises environments.

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.

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.

Is Airflow in demand?

Airflow developers are in high demand due to the increasing need for data pipeline orchestration in data engineering and analytics. Skills in Python, cloud platforms, and workflow management tools contribute to job opportunities across various industries.

What jobs in the US pay 300,000 a year?

For an Airflow Developer, earning $300,000 annually typically requires senior-level experience, specialized skills in data pipeline orchestration, and often working in large organizations or consulting roles. High salaries are common in roles involving complex data infrastructure, cloud platforms, and leadership responsibilities. Certifications like Apache Airflow or cloud provider credentials can also contribute to higher compensation.
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What cities in Washington are hiring for Airflow Developer jobs? Cities in Washington with the most Airflow Developer job openings:
Airflow Developer jobs near you

Apache Airflow Software Engineer

GIGATEC

Annapolis Junction, MD • On-site

$205K - $255K/yr

Full-time

Medical, Retirement, PTO

Posted 19 days ago

Job description

Description:

Some of our Perks and Benefits

  • 100% Paid Healthcare
  • 31 Days PTO
  • 10% 401k in every paycheck
  • 100% Fully Vested!!!

Do you get excited about learning new technologies, problem solving, and making an impact?


We know that cybersecurity and its technologies evolve at a rapid pace. The defense community needs an engineering partner who can not only keep up, but bring the technical expertise and passion necessary to solve the new hardest problems — and do it well. GIGATEC's highly engaged, agile team does just that, with innovative solutions for every mission-critical challenge.

If your answer is an enthusiastic "yes" then please keep reading!

Our team is passionate about defending national security and mastering new tech, so we give our engineers exactly what they need to do both: unlimited upskilling, tuition reimbursement, student loan repayment, and 100% paid healthcare, plus flexible benefits.

We are seeking Software Engineers who wish to accelerate their skills and focus on tackling the most difficult challenges of the US Government, in one of the most exciting areas of the mission available. GIGATEC offers the best salaries and benefits packages available, where you are at the center of our motivation.

NOTE – Our positions require a Top Secret clearance, as well as Counterintelligence and Lifestyle polygraphs. Applicants must be authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa.

Requirements:

What You’ll Be Doing (We don’t love the bullet points, but we love the work!)


In this key Software Engineer role, you'll be responsible for creating and maintaining data workflows and automation pipelines using Apache Airflow, keeping critical processes flowing as smoothly as a well-timed morning coffee. This role focuses on building reliable, scalable, and observable workflow orchestration solutions that support data engineering, analytics, and operational use cases, because no one wants a pipeline that is more decaf than dependable. The engineer will collaborate closely with data engineers, platform teams, and stakeholders to ensure workflows are efficient, secure, and production ready, delivering results with the consistency of a favorite espresso order.


You will get to work with cutting edge systems which might include (but are likely not limited to) processing intensive analytics (remember, this is HPC), novel algorithm development, manipulation of extremely large data sets (again, HPC!), real-time systems, business management information systems, and systems which incorporate data repositories, data transport services, and application and systems development and monitoring. All being critical to the success of the customer and the overall mission at large.


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

Position Desired Skills

  • Experience using the Atlassian Tool Suite (JIRA, Confluence)
  • Familiar with AWS Cloud Services and Infrastructure
  • Fluent in sarcasm, kindness, and the occasional office banter

Qualifications

  • (5+) years’ experience as a Software Engineer, multiple positions and levels/years experience
  • Bachelor’s degree in Computer Science or related discipline, or substitute years experience