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Airflow Developer Jobs in Washington (NOW HIRING)

VTG

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

VTG

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

ECS

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 ...

Rackner

Data Engineer (DoD Secret | Remote)

Washington, DC · Remote

$129K - $155K/yr

Data Engineer (DoD Secret | Remote) Location: Remote (U.S. Based) Clearance: Active DoD Secret ... Build and maintain end-to-end Ingest → Transform → Expose pipelines using Airflow, Spark, dbt ...

VTG

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Hands-on experience building ETL/ELT pipelines using tools such as Apache Airflow, Informatica, or similar * Experience with cloud data platforms (AWS, Azure, or GCP) * Proficiency in programming ...

VTG

Data Engineer

Herndon, VA

$117K - $141K/yr

Hands-on experience building ETL/ELT pipelines using tools such as Apache Airflow, Informatica, or similar * Experience with cloud data platforms (AWS, Azure, or GCP) * Proficiency in programming ...

Core Interface

ETL Developer

Chantilly, VA · On-site

$52.25 - $68.25/hr

Experience with pipeline orchestration tools such as Apache Airflow or equivalent * Experience with ... engineers with benefits designed for long-term success: * 100% employer-paid medical, dental, and ...

VTG

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Hands-on experience building ETL/ELT pipelines using tools such as Apache Airflow, Informatica, or similar * Experience with cloud data platforms (AWS, Azure, or GCP) * Proficiency in programming ...

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Showing results 41-60

All JobsAirflow Developer JobsAirflow Developer Jobs in Washington

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 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.
What are popular job titles related to Airflow Developer jobs in Washington? For Airflow Developer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Airflow Developer jobs in Washington look for? The top searched job categories for Airflow Developer jobs in Washington are:
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
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.

Senior Data Engineer

VTG

Herndon, VA • On-site

$109K - $148K/yr

Full-time

Re-posted 22 days ago

Job description

Overview

VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator between business needs and technical solutions. Must be able to work creatively and efficiently to solve difficult technical problems.

In this dynamic role, you will not only support the team in conditioning financial data but also play a key role in the adoption of modern data engineering practices. Your contributions will directly impact the efficiency and effectiveness of data processing, setting the stage for advanced data analysis and decision-making. The ideal candidate will bring a proven track record of building and implementing ETL processes, with a keen eye for optimizing data for various enterprise applications. If you have a passion for data engineering and are ready to take on a challenge that marries technical prowess with mission-critical analysis, this is the opportunity for you.


What will you do?

  • As a Data Engineer in this role, you will be at the forefront of transforming financial data into actionable insights for a mission-driven customer.

  • Your primary responsibility will be to develop, optimize, and maintain robust ETL processes and data pipelines.

  • You will leverage your expertise in Python and SQL to condition and normalize both raw and structured data, enhancing its usability and searchability within downstream enterprise tools. Your work will be pivotal in implementing cutting-edge technology, including AI models, to improve data fidelity and accelerate data engineering tasks.

  • Familiarity with Apache Airflow and Apache Hop will be beneficial as you build new and repeatable workflows to support the team's objectives.

  • Your success in this position will be bolstered by your ability to work independently as well as collaboratively with a team of technical experts, data managers, and operational stakeholders. Experience with Amazon Web Services (AWS) will be crucial as you deploy scalable solutions in a cloud environment. While not mandatory, a background in Kubernetes will give you an edge, as will any experience with financial data and language translation models.


Do you have what it takes?
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in computer science, Software Engineering, or related field.

Required Skills:

  •  Python
  •  Structured Query Language (SQL)
  •  Apache Airflow
  •  Apache Hop
  •  Experience normalizing raw, unstructured, and structured data
  •  Ability to work independently and collaboratively
  •  Experience building, optimizing, and implementing ETL processes and data pipelines
  •  Experience with Amazon Web Services (AWS)           

Desired Skills:

  •  Experience with financial data
  •  Experience with language translation models
  •  Experience using Kubernetes

This position is open for current and future positions.

Qualifications:
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in computer science, Software Engineering, or related field.

Required Skills:

  •  Python
  •  Structured Query Language (SQL)
  •  Apache Airflow
  •  Apache Hop
  •  Experience normalizing raw, unstructured, and structured data
  •  Ability to work independently and collaboratively
  •  Experience building, optimizing, and implementing ETL processes and data pipelines
  •  Experience with Amazon Web Services (AWS)           

Desired Skills:

  •  Experience with financial data
  •  Experience with language translation models
  •  Experience using Kubernetes

This position is open for current and future positions.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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