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Airflow Developer Jobs in Virginia (NOW HIRING)

Data Engineer

Fairfax, 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 ...

Everforth ECS is seeking an AI Engineer to work in our Fairfax, VA office and Springfield, VA ... AWS Glue, Apache Airflow) * Strong communication skills with the ability to interface and ...

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 ...

Data Engineer

Mclean, VA

$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 ...

Data Engineer

Chantilly, VA

$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 ...

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 ...

Also responsible for scheduling of various ETL jobs in Apache Airflow and providing support in ... Experience programming/scripting/coding (SQL, Python using API, etc.) and knowledge of relational ...

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 ...

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)

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)

... Airflow, AWS Glue jobs, Spark scripts, and Kafka topics under guidance from senior engineering personnel. • Performs data preparation tasks including schema mapping, format conversions, metadata ...

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

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)

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Airflow Developer information

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 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 organizations. Skills in Python, cloud platforms, and workflow management tools contribute to strong job prospects in this field.

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. Such compensation is less common for entry-level positions and usually involves additional bonuses or equity components.

What engineer makes $500,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, or cloud architecture can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in large tech companies or startups with significant growth potential.

What jobs pay $500,000 a year in the US?

High-paying roles for Airflow Developers or similar data engineering professionals can reach or exceed $500,000 annually, especially with seniority, specialized skills, and experience in cloud platforms like AWS or GCP. Such compensation often includes base salary, bonuses, and stock options, typically found in senior or executive-level positions within large tech companies or financial institutions.
What cities in Virginia are hiring for Airflow Developer jobs? Cities in Virginia with the most Airflow Developer job openings:
Senior Training Content Developer with Security Clearance

Senior Training Content Developer with Security Clearance

ECS

Fairfax, VA • On-site

Other

Posted 3 days ago


Job description

Job Description Everforth ECS is seeking a Senior Training Content Developer to work in the National Capital Region covering the Pentagon, Falls Church, and Fairfax . Please Note: This position is contingent upon contract award. The War Data Platform (WDP) is a key initiative within the U.S. Department of War's (DoW) AI-First strategy introduced in early 2026. The WDP separates business and financial data from operational warfighting data, aiming to accelerate the deployment of artificial intelligence (AI) on the battlefield. The WDP extends to Unclassified, Secret, and Top Secret environments, and supports collaboration between Combatant Commands, Joint Staff directorates, Senior Executive Service leaders, and operational analysts. The Senior Training Content Developer serves as the principal author and architect of WDP's enterprise training content library, designing, producing, and sustaining the role-based instructional materials that enable data engineers, analysts, warfighters, and operational stakeholders to effectively leverage WDP's AI, data pipeline, and analytics capabilities across all classification levels. This is a senior-level content development role requiring deep technical fluency, cross-functional coordination, and a data-driven approach to continuous curriculum improvement in direct support of WDP's mission adoption and warfighter enablement objectives. • Designs and maintains role-based training materials that teach War Data Platform (WDP) data tools, enterprise data pipelines, governance workflows, and operational procedures across Unclassified, Secret, and Top Secret enclaves.
• Authors step-by-step guides, structured walkthroughs, presentation decks, interactive tutorials, and multimedia lessons, working with platform SMEs to accurately explain workflows involving Databricks, Apache Spark, Apache Airflow, Apache Kafka, Unity Catalog, and identity services.
• Packages modules in SCORM and xAPI formats and publishes to Government-approved repositories such as Confluence and SharePoint with accurate metadata, taxonomy, and version control.
• Collects input from Service Desk analytics, course evaluations, and mission user interviews and converts patterns into targeted revisions that shorten time-to-task and reduce repeat errors for Combatant Commands and Joint Staff elements.
• Tracks content freshness, completion rate, assessment score lift, adoption growth, and search success, and reports results.
• Delivers artifacts that include e-learning modules, lab guides, job aids, narrated demonstrations, and release notes mapped to WDP change logs.
• Coordinates with CDAO product teams, platform engineers, and security officers to sequence updates with release milestones and enclave deployment timelines, producing measurable improvements in training throughput, knowledge-base deflection, and mission readiness for WDP programs.
• Performs other duties as assigned. Required Skills • Current Secret security clearance with the ability to obtain and maintain a Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI).
• 10-12 years of experience in technical training content development, instructional design, or a closely related discipline within federal, DoW, or enterprise data and analytics platform environments.
• Demonstrated senior-level experience developing role-based technical training curricula for complex data or software platforms, including producing SCORM or xAPI-compliant e-learning modules, lab guides, multimedia tutorials, and job aids aligned to platform release cycles and diverse user populations .
• Hands-on familiarity with enterprise data engineering and analytics tools such as Apache Airflow, Apache Kafka, Databricks, Apache Spark, or Unity Catalog, with the ability to accurately translate technical workflows into accessible, operationally relevant instructional content for users ranging from data engineers to operational analysts .
• Proven experience publishing and maintaining training content within Government-approved knowledge management platforms such as Atlassian Confluence or Microsoft SharePoint, including applying version control, metadata taxonomy, and structured content governance practices .
• Strong problem-solving and decision-making capabilities, with a proven ability to weigh the relative costs and benefits of potential actions and identify the most appropriate solution.
• Highly developed interpersonal and oral/written communication skills, with the ability to effectively and professionally interact with a diverse set of stakeholders (from peers to end-users to executive management). Desired Skills • Active Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI) eligibility.
• Experience developing training content for DoW or federal classified data platform programs, including familiarity with multi-enclave content delivery constraints, Government-approved learning management systems such as Joint Knowledge Online (JKO), and documentation standards aligned with DoW training and onboarding requirements.
• Proficiency with AI-assisted instructional design tools or generative AI content development platforms, including demonstrated experience evaluating or applying automated content generation, personalized learning path creation, or LLM-assisted knowledge dissemination to accelerate training development and improve learner outcomes at scale.
• Working knowledge of training effectiveness metrics and adoption analytics, including experience building and maintaining dashboards that track completion rates, assessment score trends, knowledge-base deflection rates, and user satisfaction data in support of continuous curriculum improvement and program reporting.
• Familiarity with Agile and SAFe delivery methodologies, including experience coordinating training content development activities within sprint-based release cycles, Program Increment planning events, and cross-functional delivery teams spanning platform engineering, cybersecurity, and customer success functions. ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law. is the federal segment of , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies. Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow. We value: * Attracting and developing top talent and high-performing teams * Fostering a culture that is engaging, accountable, and mission-driven