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Data Engineer Airflow Jobs in Seattle, WA (NOW HIRING)

1 point system

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Leverage modern data engineering practices and frameworks with an object-oriented approach to ... airflow; Azure preferred. * Proficiency with SQL; Advanced skills with Python for data ...

PitchBook Data

Lead Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Partner with Product, Engineering, and Data Platform teams to align architecture and shared ... Familiarity with orchestration tools (e.g., Airflow) and modern data tooling * Experience with BI ...

Chewy

Data Engineer II

Bellevue, WA · On-site

$144K - $180K/yr

Data Engineer II Bellevue, WA -Ads - Full time - R30286 What you'll do: * Own the design ... Airflow; * AWS Services (SQS, SNS, S3, EC2, Glue, Glue catalog); * Distributed processing; and

Chewy

Data Engineer II

Bellevue, WA · On-site +1

$144K - $180K/yr

Data Engineer II Bellevue, WA -Ads - Full time - R30286 What you'll do: * Own the design ... Airflow; * AWS Services (SQS, SNS, S3, EC2, Glue, Glue catalog); * Distributed processing; and

Metropolis

Senior Data Engineer

Seattle, WA · On-site

$160K - $220K/yr

Who you are As a Senior Data Engineer at Metropolis, you will play a key role in shaping data ... Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI ...

GOAT Group

Senior Data Engineer

Seattle, WA

$128K - $160K/yr

Grailed is looking for a Senior Data Engineer to help us build and scale the data infrastructure ... Snowflake, DBT, Airflow, Fivetran, Segment, Looker, Amplitude, Algolia, AWS/Lambda, Git * Deep ...

Socure

Senior Data Engineer

Seattle, WA · On-site

$120K - $163K/yr

... Airflow, Step Functions, etc) • Familiarity with modern data platform patterns such as Data Lakehouse, Data Mesh, and large-scale data sharing across teams • Experience with prompt engineering ...

Amazon

Data Engineer II, Prime Video Advertising

Seattle, WA · On-site

$130K - $156K/yr

You'll also manage diverse technologies such as Python, EMR, Spark, Iceberg, Airflow, and many AWS ... About the team Prime Video Advertising - Data Engineering("PVA-DE") team is a central data and ...

Amazon

Data Engineer II, Prime Video Advertising

Seattle, WA · On-site

$130K - $156K/yr

You'll also manage diverse technologies such as Python, EMR, Spark, Iceberg, Airflow, and many AWS ... About the team Prime Video Advertising - Data Engineering("PVA-DE") team is a central data and ...

Amazon

Data Engineer II , UTR Data Engineering

Bellevue, WA · On-site

$129K - $155K/yr

We are hiring a Data Engineer to own significant portions of our data architecture, drive the ... orchestration (Airflow/MWAA). Your solutions will be testable, maintainable, and efficient.

Amazon

Data Engineer II , UTR Data Engineering

Bellevue, WA · On-site

$129K - $155K/yr

We are hiring a Data Engineer to own significant portions of our data architecture, drive the ... orchestration (Airflow/MWAA). Your solutions will be testable, maintainable, and efficient.

Pwc

Data Engineer - Senior Associate

Seattle, WA · On-site

$77K - $202K/yr

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Airflow and Apache Hadoop for scalable data processing and workflow management - Building and ...

The Trade Desk

Senior Data Engineer

Bellevue, WA · On-site

$119K - $161K/yr

... Airflow, Dagster, Glue, or similar. • Proficiency in Python, Scala, Java, or similar languages ... You stay current on data engineering patterns, tooling, and best practices and apply them ...

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All JobsData Engineer Airflow JobsData Engineer Airflow Jobs in Seattle, WA

Data Engineer Airflow information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do data engineer airflow jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data engineer airflow in Seattle, WA is $147,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 per year, depending on experience, location, and employer.

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.
What are popular job titles related to Data Engineer Airflow jobs in Seattle, WA? For Data Engineer Airflow jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Airflow jobs in Seattle, WA look for? The top searched job categories for Data Engineer Airflow jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Data Engineer Airflow jobs? Cities near Seattle, WA with the most Data Engineer Airflow job openings:
Data Engineer Airflow jobs near you
Infographic showing various Data Engineer Airflow job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $147,621 per year, or $71 per hour.

AI Data Engineer

1 point system

Redmond, WA • On-site

$128K - $154K/yr

Contractor

Re-posted 6 days ago

Job description

Candidate Requirements

Disqualifiers: Repetitive, overly long, or generic or keyword heavy resumes that lack context on impact or outcomes (ex, just listing tools/tech without explaining business value) will likely be disqualified

Best vs. Average: The ideal resume would contain resumes that clearly demonstrate how their work drives business impact (ex. improved performance, enabled decision making, supported marketing or product outcomes) and show strong critical thinking and problem solving in how they present their experience.

Top 3 Must-Have HARD Skills & years of experience for each:   

  1. Python 4-5 years
  2. Data Modeling 3 years
  3. Marketing 2 years

Responsibilities

  • Build subject matter expertise of our business and data domains to collaborate with data consumers and stakeholders to understand their information needs and assist them with data access.
  • Identify and analyse multi-structured data or metadata from a variety of sources to select and document the most effective and accurate data which fulfils the analytics requirements.
  • Design data models, architect dataflows, and develop abstractions to deliver scalable solutions for analytics and machine learning ensuring they can evolve with changing needs.
  • Leverage modern data engineering practices and frameworks with an object-oriented approach to architect, build, and maintain automated data pipelines which transform data into clean, enriched, and accurate information.
  • Advance our infrastructure by developing frameworks, reusable components and new capabilities to achieve our mission.
  • Enable the Franchise performance marketing strategy through the development of relevant and robust data products.

 

Required Qualifications

  • Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, or related field AND 4+ years’ experience in analytics engineering, data engineering, data science, data analyst, or related software development work
  • Master's Degree in Computer Science, Software Engineering, Computer Engineering, or related field AND 3+ years’ experience in analytics engineering, data engineering, data science, data analyst, or related software development work
  • OR equivalent experience.
  • 2+ years working as an Analytics Engineer or Data Engineer with regular business collaboration or equivalent on large enterprise systems.
  • Experience building, maintaining and optimizing enterprise scale data pipelines handling logs and event streaming data on Cloud Data Platforms using modern tools like Spark, and airflow; Azure preferred.
  • Proficiency with SQL; Advanced skills with Python for data transformation and automation

 

Preferred Qualifications

  • Critical thinker and problem solver who brings a creative and open mindset.
  • A proven track record building and optimizing analytic solutions and data products which deliver significant business impact.
  • Data analysis and exploration skills to identify, select and prepare data for analytics.
  • Business acumen to address business challenges through analytics engineering.
  • Experience building, maintaining and optimizing enterprise scale data pipelines handling logs and event streaming data on Cloud Data Platforms using modern tools like Spark, and airflow; Azure preferred.
  • Working knowledge of DevOps and DataOps.