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Airflow Developer Jobs in Kennewick, WA (NOW HIRING)

Airflow Developer information

See Kennewick, WA salary details

$17

$53

$82

How much do airflow developer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for airflow developer in Kennewick, WA is $53.55, according to ZipRecruiter salary data. Most workers in this role earn between $40.91 and $65.53 per hour, depending on experience, location, and employer.

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 Kennewick, WA?

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

What job categories do people searching Airflow Developer jobs in Kennewick, WA look for?

The top searched job categories for Airflow Developer jobs in Kennewick, WA are:

$161.30 - $255/hr

Other

Re-posted 13 days ago


Job description

Overview

PNNL’s AI & Data Analytics Division, part of the National Security Directorate, focuses on developing computational solutions for national security challenges.

Responsibilities

We are seeking an exceptional Lead Software Engineer to architect and build next‑generation AI systems that span agentic AI platforms, large‑scale data orchestration, and real‑time intelligence processing.

Who You Are

An experienced engineer who bridges infrastructure, AI/ML, and production software. You have built highly scalable systems from scratch, led impactful initiatives, and turned complex problems into solutions. You are comfortable architecting distributed systems and fine‑tuning large language models.

What You’ll Build

  • AI‑Native Systems: Agentic AI with dynamic reasoning, LLM orchestration, MLOps platforms, and multimodal reasoning pipelines
  • Scalable Infrastructure: Microservices across security enclaves, real‑time streaming, petabyte‑scale ETL, data lake/mesh architectures, and Kubernetes/CI‑CD for classified & edge environments
  • Production Systems: Secure AI deployments, observability across enclaves, ethical AI compliance, and geospatial/time‑series intelligence data fusion
  • Technical Leadership: Lead engineers on high‑impact, ambiguous scope; drive architecture and strategy; build roadmaps from cutting‑edge research; mentor teams

What You Bring

  • Engineering Leadership: Expert Python and another language (C#/.NET, Go, C++); experience establishing best practices, advanced CI/CD, and architecting distributed systems
  • AI/ML Architecture: Production agentic AI experience; deep expertise with PyTorch/TensorFlow/JAX and LLM orchestration; LLM optimization and end‑to‑end ML platform design
  • Cloud & Distributed Systems: Enterprise‑scale architecture across AWS/Azure/GCP; Docker, Kubernetes, IaC; event‑driven systems (Kafka, RabbitMQ); API design mastery; polyglot persistence
  • Data Platform Engineering: Cloud‑native pipelines & orchestration (Airflow, Prefect); data lakehouse architectures; distributed computing (Spark, Flink, Ray); petabyte‑scale optimization and modern data formats
  • Leadership & Communication: Mentoring teams, articulating strategy to executives, balancing delivery with technical excellence, and driving cross‑functional collaboration

What Makes This Role Unique

You will work at the intersection of cutting‑edge AI research and production engineering, building platforms that process the nation's most sensitive intelligence data while shaping technical strategy.

National Interest Project Examples

  • Detect and prevent smuggling of drugs and contraband at ports of entry
  • Develop large data pipelines to thwart funding for terrorists, nuclear proliferators, drug cartels, and rogue leaders
  • Applying big data solutions to national security problems
  • Applying image classification for nuclear forensics analysis
  • Develop capabilities for scalable geospatial analytics

Location

This position is based in Richland, WA or Seattle, WA and requires an onsite presence Monday through Thursday, with Friday as required by business needs.

Qualifications

Minimum Qualifications:

  • PhD and 3 years of Software Engineering experience
  • MS/MA and 5 years of Software Engineering experience
  • BS/BA and 7 years of Software Engineering experience
  • AA and 16 years of Software Engineering experience
  • HS/GED and 18 years of Software Engineering experience in designing, architecting, programming, deploying, and automating software solutions for scientific research or consumer products
  • Current, hands‑on software development experience using Python

Preferred Qualifications:

  • Actively using Python for the previous five years
  • Expert‑level Python: Architecting production frameworks and large multilanguage codebases at scale
  • Enterprise ETL/data platform leadership: Designing petabyte‑scale pipelines, orchestration (Airflow, Prefect), and data lakehouse architectures
  • Advanced cloud architecture: Multi‑cloud strategy across AWS, Azure, or GCP with Kubernetes and Infrastructure as Code at enterprise scale
  • FFRDC or national laboratory experience
  • National security / intelligence experience in classified environments
  • Production agentic AI / advanced LLM experience
  • Distributed ML at scale
  • Technical team leadership experience through ambiguous, high‑impact scope
Additional Requirements

This position requires the ability to obtain and maintain a federal security clearance.

Equal Employment Opportunity

PNNL is an Equal Employment Opportunity employer. Applicants will be considered for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information, veteran status, or any other protected class.

Minimum and Maximum Salary

Minimum Salary: USD $161,300.00/Yr.

Maximum Salary: USD $255,000.00/Yr.

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Pacific Northwest National Laboratory logo

About Pacific Northwest National Laboratory

Sourced by ZipRecruiter

Pacific Northwest National Laboratory (PNNL) is a premier research institution based in Richland, Washington, US. Operated by Battelle Memorial Institute under contract to the US Department of Energy (DOE), it is one of the DOE's seventeen national laboratories. PNNL primarily specializes in fields such as environmental science, energy, nuclear science, and national security. Founded in 1965, the lab has since been committed to its core values of integrity, creativity, collaboration, impact, and courage. Their mission is "to transform the world through courageous discovery and innovation." Notable achievements include significant contributions to projects like the Human Genome Project and the development of grid-friendly appliances.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Richland, WA, US

Year founded

1965