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Airflow Developer Jobs in Virginia (NOW HIRING)

VT Group (VTG)

Senior Data Engineer

Chantilly, VA · On-site

$109K - $148K/yr

... Apache Airflow and Apache Hop will be beneficial as you build new and repeatable workflows to ... Engineering, or related field. • Python • Structured Query Language (SQL) • Apache Airflow ...

VTG

Data & Software Engineer

Mclean, VA · On-site

$115K - $139K/yr

... · Apache Iceberg, Airflow, etc. · SQL (with Trino) · NoSQL, DynamoDB · Unity Catalog OSS ... Bachelor's degree in Computer Science, Engineering, Finance, or a related technical field, or ...

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 ...

NAVA Software Solutions

Data Engineer - Remote

Richmond, VA · On-site +1

$113K - $136K/yr

Python, Java, Scala, Spark, AirFlow, Javascript/TypeScript * 3+ Years Experience in AWS Cloud Technologies (ECS, EC2/Fargate, S3, Lambda, EMR, SQS, DynamoDB etc.) * 3+ Years Experience in DevOps (Git ...

AgileEngine

Senior Data Engineer ID71671

Richmond, VA · On-site

$103K - $141K/yr

You will orchestrate workflows using Airflow, Prefect, or Dagster, implement data quality and ... or similar). - DevOps / DataOps Practices : Strong skills in version control (Git ...

SZNS Solutions LLC

Data Engineer

Reston, VA

$119K - $143K/yr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates ... g., Airflow) * Experience architecting data stores and schemas for AI workflows (e.g., RAG)

SZNS Solutions LLC

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates ... g., Airflow) * Experience architecting data stores and schemas for AI workflows (e.g., RAG)

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

SZNS Solutions LLC

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates ... g., Airflow) * Experience architecting data stores and schemas for AI workflows (e.g., RAG)

Dark Wolf Solutions

Senior Data Engineer

Herndon, VA · On-site

$130K - $170K/yr

Hands-on experience with PySpark, Apache Airflow, Kafka, and dbt. * Database Systems: Strong ... Programming & Scripting: Strong proficiency in Python, SQL, Scala, or Java, alongside REST API ...

Dark Wolf Solutions

Senior Data Engineer

Chantilly, VA

$130K - $170K/yr

Hands-on experience with PySpark, Apache Airflow, Kafka, and dbt. * Database Systems: Strong ... Programming & Scripting: Strong proficiency in Python, SQL, Scala, or Java, alongside REST API ...

Steampunk

AI Developer

Mclean, VA · On-site

$140K - $190K/yr

This role requires strong hands-on engineering capabilities, deep familiarity with modern AI ... Hands-on experience with workflow automation platforms - n8n, Prefect, Airflow, or similar

Adtech

AI/ML Engineer With DevOps

Ashburn, VA · On-site

$54 - $74/hr

... with DevOps Location: Ashburn, VA (Hybrid 2 days a week onsite) Duration: Full time ... Expertise with MLOps tools and frameworks such as Mlflow, Kubeflow, Airflow and implementing ...

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Showing results 21-40

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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 are popular job titles related to Airflow Developer jobs in Virginia?

For Airflow Developer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Airflow Developer jobs in Virginia look for?

The top searched job categories for Airflow Developer jobs in Virginia are:

What cities in Virginia are hiring for Airflow Developer jobs?

Cities in Virginia with the most Airflow Developer job openings:

Airflow Developer jobs near you
Infographic showing various Airflow Developer job openings in Virginia as of August 2026, with employment types broken down into 75% Full Time, 12% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Senior Data Engineer

VT Group (VTG)

Chantilly, VA • On-site

$109K - $148K/yr

Full-time

Re-posted 15 days ago

Job description

Job Summary:
VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator between business needs and technical solutions. In this dynamic role, you will support the team in conditioning financial data and play a key role in the adoption of modern data engineering practices, impacting data processing efficiency and effectiveness.
Responsibilities:
• 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.
Qualifications:
Required:
• Active TS/SCI with Polygraph required.
• Bachelor’s degree in computer science, Software Engineering, or related field.
• 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)
Preferred:
• Experience with financial data
• Experience with language translation models
• Experience using Kubernetes
Company:
VTG delivers force modernization and digital transformation solutions that expand America’s competitive advantage in the modern battlespace. Founded in 1866, the company is headquartered in Arlington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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