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Data Engineer Airflow Jobs in Washington (NOW HIRING)

Data Engineer (WDP)

Chantilly, VA · On-site

$117K - $140K/yr

Familiarity with data orchestration tools (e.g., Airflow) and containerization (Docker, Kubernetes). * Knowledge of COTS and open-source data engineering tools such as NiFi or ElasticSearch.

New

Data Engineer

Sterling, VA · On-site

$113K - $136K/yr

Experience with data pipeline orchestration tools like Airflow or Luigi. • Data Quality Tools ... Azure Data Engineer Associate • Google Cloud Certified Professional Cloud Data Engineer • IBM ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Familiarity with modern data stack tools (e.g., dbt, Airflow, or similar orchestration tools) * Experience with data governance, cataloging, and lineage tools * Experience mentoring junior engineers ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Familiarity with modern data stack tools (e.g., dbt, Airflow, or similar orchestration tools) * Experience with data governance, cataloging, and lineage tools * Experience mentoring junior engineers ...

Data Engineer Location:Sterling, VA Clearance:TS/SCI Poly **This position is CONTINGENT upon ... Experience with data pipeline orchestration tools like Airflow or Luigi. * Data Quality Tools:

Data Engineer

Sterling, VA · On-site

$122K - $253K/yr

Experience with data pipeline orchestration tools like Airflow or Luigi. * Data Quality Tools ... IBM Data Engineering Professional Certificate * IBM Data Warehouse Engineer Professional ...

Senior Data Engineer

Chantilly, VA · On-site

$109K - $148K/yr

Overview VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator ... Familiarity with Apache Airflow and Apache Hop will be beneficial as you build new and repeatable ...

Enterprise Data Engineer

Chantilly, VA

$117K - $140K/yr

We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence ... Familiarity with data orchestration toolssuch as Apache Airflow, Prefect, or similar #LI-BPJ

Data Engineer Junior

Fairfax, VA · On-site

$116K - $140K/yr

The engineer collaborates with analysts, data scientists, and security teams to deliver reliable ... Apache Airflow or similar tools, ensuring reliable, repeatable execution. * Optimize data ...

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Closure Technologies is seeking a Data Engineer that will leverage their development skills and ... Apache Airflow) and developing/performing ETL tasks in a Linux environment. Preferred : • ...

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 ...

Enterprise Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

We are seeking skilled and detail-oriented Data Engineers with expertise in utilizing Python, SQL ... Familiarity with data orchestration tools such as Apache Airflow, Prefect, or similar About Us For ...

Enterprise Data Engineer

Chantilly, VA

$117K - $140K/yr

We are seeking skilled and detail-oriented Data Engineers with expertise in utilizing Python, SQL ... Familiarity with data orchestration tools such as Apache Airflow, Prefect, or similar About Us For ...

Data Engineer

Mclean, VA · On-site

$130K - $145K/yr

Experience with workflow orchestration tools (such as Step Functions, Airflow) * Familiarity with ... Contributions to data engineering documentation, best practices, and design patterns * Experience ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

540 is seeking a Data Engineer to support a mission-critical technology modernization effort for ... Experience with orchestration tools such as Airflow, Dagster, or Argo Workflows * Experience with ...

Showing results 41-60

Data Engineer Airflow information

What is the difference between Data Engineer Airflow vs Data Engineer?

AspectData Engineer AirflowData Engineer
Primary FocusWorkflow orchestration and pipeline automation using AirflowData collection, storage, transformation, and pipeline development
Required SkillsPython, Airflow, ETL processes, cloud platformsSQL, Python, ETL, data modeling, cloud services
Work EnvironmentData teams, cloud environments, automation pipelinesData warehouses, big data platforms, cloud infrastructure
CertificationsAirflow certifications, Python, cloud certificationsSQL, cloud certifications, data engineering certifications

While both roles involve data pipeline work, Data Engineer Airflow specializes in designing and managing workflows with Airflow, focusing on automation and orchestration. In contrast, Data Engineer has a broader scope, including data storage, transformation, and pipeline development across various tools and platforms.

What does a data engineer specializing in Airflow do?

A Data Engineer specializing in Airflow is responsible for designing, building, and maintaining data pipelines using Apache Airflow, an open-source workflow orchestration tool. Their main job is to automate, schedule, and monitor complex data workflows, ensuring data moves reliably between systems and is processed efficiently. They often collaborate with data scientists, analysts, and other engineers to make sure that data is accessible, accurate, and up to date for business needs. Expertise in Airflow helps streamline data operations, optimize performance, and improve data pipeline reliability.

What are the key skills and qualifications needed to thrive as a data engineer specializing in Airflow, and why are they important?

To thrive as a Data Engineer with an Airflow focus, you need strong programming skills in Python, expertise in data pipeline design, and experience with distributed systems, often supported by a degree in computer science or a related field. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and database technologies, as well as certifications in cloud data engineering, are typically required. Outstanding problem-solving, attention to detail, and effective communication help you collaborate on complex data workflows and troubleshoot issues efficiently. These skills ensure robust, scalable, and reliable data infrastructure, enabling organizations to make data-driven decisions with confidence.

How does a data engineer specializing in Airflow typically collaborate with data scientists and analysts?

Data Engineers working with Airflow play a crucial role in enabling data scientists and analysts to access reliable, up-to-date data. They design and maintain ETL pipelines that automate data movement and transformation, ensuring data is clean and available for analysis. Collaboration often involves gathering requirements, troubleshooting pipeline issues, and optimizing data workflows to meet the needs of downstream users. Effective communication and documentation are essential, as data engineers must align technical solutions with the analytical goals of the broader team.
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Infographic showing various Data Engineer Airflow job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Enterprise Data Engineer

The Josef Group

Chantilly, VA • On-site

$117K - $140K/yr

Full-time

Re-posted 7 days ago


Job description

Enterprise Data Engineer
Chantilly, VA 
TS/SCI and FSP is Required 
$200K to $250K 
We are seeking skilled and detail-oriented Data Engineers with expertise in utilizing Python, SQL, and ETL to extract, transform, and load structured and unstructured data from various sources.. The ideal candidate will have a strong background in data engineering and a deep understanding of ETL processes.
 
Key Responsibilities:
·  Write robust and efficient Python and SQL scripts to automate data processing tasks.
·  Integrate data from diverse sources, such as databases, APIs, and flat files, into centralized systems.
·  Implement data transformations, enrichment, and modeling workflows to ensure data quality and usability.
·  Ensure data structures are optimized for performance and scalability.
·  Provide technical guidance and support to ensure effective use of Palantir tools across teams.
·  Implement data quality checks, validation, and monitoring mechanisms to ensure the accuracy and reliability of datasets.
·  Integrate data from diverse sources, such as databases, APIs, and flat files, into centralized systems.
·  Ensure proper data transformation and curation to meet business and analytics requirements.
·  Maintain and improve data quality, consistency, and accuracy through validation and cleansing processes.
Required Skills:
·  3+ years of experience in data engineering.
·  Strong proficiency in scripting and programming with Python.
·  Expertise in working with SQL for data querying, transformation, and optimization.
·  Experience with data integration from diverse sources such as APIs, relational databases, and file systems.
·  Strong analytical and problem-solving skills with attention to detail.
·  Excellent communication and teamwork skills to collaborate with technical and business teams.
·  Active TS/SCI FSP is required to start. Role is FT on-site in Herndon, VA.
 
Preferred Skills:
·  Bachelor’s degree in Computer ScienceData Engineering, or a related field.
·  Hands-on experience with Palantir.
·  Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Apache Spark, Hadoop).
·  Familiarity with data orchestration tools such as Apache AirflowPrefect, or similar.