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Airflow Jobs in Springfield, VA (NOW HIRING)

VTG

Senior Data Engineer

Chantilly, VA · On-site

$108K - $147K/yr

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 ...

VTG

Senior Data Engineer with Security Clearance

Chantilly, VA · On-site

$109K - $148K/yr

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 ...

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 workflows to support the team's objectives. * Your success in this position will be bolstered by your ...

F.H. Furr

HVAC Quality Assurance Technician

Rockville, MD · On-site

$25 - $40/hr

Check airflow, refrigerant levels, electrical connections, ductwork, and overall system performance * Identify workmanship issues, safety concerns, or performance gaps and document findings clearly

VTG

Software Engineer

Chantilly, VA · On-site

... Airflow, etc) · Experience with automation methodologies like selenium · Experience with containerization and modular development · Familiarity with UI/UX Design · Certification - Amazon Web ...

Karsun Solutions, LLC

Senior Data Engineer

Herndon, VA · On-site

$150K - $170K/yr

Orchestrates complex data pipelines and workflows using Apache Airflow. * Works with product and application owners, data stewards, and business/data analysts to determine, create, and populate ...

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Showing results 21-40

All JobsAirflow JobsAirflow Jobs in Springfield, VA

Airflow information

See Springfield, VA salary details

$23K

$156.2K

$201.1K

How much do airflow jobs pay per year?

As of Aug 16, 2026, the average yearly pay for airflow in Springfield, VA is $156,203.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,400.00 and $174,400.00 per year, depending on experience, location, and employer.

What is an Airflow job?

An Airflow job typically involves designing, developing, and maintaining workflows using Apache Airflow, an open-source workflow automation tool. Professionals in this role create data pipelines, schedule tasks, and optimize workflow execution for reliability and efficiency. They work with data engineering teams to ensure smooth data processing and integration across various systems. Knowledge of Python, DAG creation, and troubleshooting Airflow issues is essential for success in this role.

What are the typical responsibilities of someone working with Apache Airflow?

Professionals working with Apache Airflow are primarily responsible for designing, developing, and maintaining data pipelines that automate the flow of information between systems. Their daily tasks often include writing and optimizing DAGs (Directed Acyclic Graphs), monitoring workflow execution, troubleshooting errors, and ensuring data quality across processes. They frequently collaborate with data engineers, analysts, and other IT teams to integrate new data sources and support evolving business needs. This role demands a proactive approach to addressing data pipeline issues and a strong commitment to maintaining reliable and efficient workflow orchestration.

What are the key skills and qualifications needed to thrive in the Airflow position, and why are they important?

To thrive as an Apache Airflow Engineer, you need a solid background in Python programming, workflow orchestration, and data engineering concepts, often supported by a degree in computer science or a related field. Familiarity with tools like Apache Airflow, cloud platforms (such as AWS or GCP), and version control systems (like Git) is highly beneficial, along with relevant certifications in big data or cloud technologies. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for managing complex workflows and collaborating with cross-functional teams. These skills ensure efficient data pipeline automation, maintain data integrity, and enable seamless cooperation in modern data-driven environments.

What are the roles in Airflow?

Roles in Airflow typically include developers, data engineers, and DevOps engineers who design, build, and maintain workflows using Airflow's DAGs and operators. These roles require knowledge of Python, scheduling, and monitoring workflows, often involving collaboration within data teams. Responsibilities may also include troubleshooting, optimizing performance, and ensuring reliable data pipeline execution.

What job categories do people searching Airflow jobs in Springfield, VA look for?

The top searched job categories for Airflow jobs in Springfield, VA are:

What cities near Springfield, VA are hiring for Airflow jobs?

Cities near Springfield, VA with the most Airflow job openings:

Airflow jobs near you
Infographic showing various Airflow job openings in Springfield, VA as of August 2026, with employment types broken down into 85% Full Time, 7% Part Time, and 8% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $156,203 per year, or $75.1 per hour.

Senior Data Engineer

VTG

Chantilly, VA • On-site

$108K - $147K/yr

Other

Re-posted 20 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.

Apply