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Data Engineer Airflow Jobs in Renton, 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 ...

Purple Drive Technologies

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Demonstrate deep knowledge of the data engineering domain to build and support non-interactive ... Orchestration tools, ADF or Airflow * SQL * Denormalized Data modeling for big data systems MUST ...

Purple Drive Technologies

Data engineer

Bellevue, WA · On-site

$129K - $155K/yr

... Airflow SQL Denormalized Data modeling for big data systems Collaborative, able to work remotely, and still be an engaging team member. Strong analytical and design skills. Skills: SPARK , PYSPARK ...

The Walt Disney Company

Sr Data Engineer

Seattle, WA

$120K - $163K/yr

Job Posting Title: Sr Data Engineer Req ID: 10147075 Technology is at the heart of Disney's past ... You will work across AWS, Databricks, Unity Catalog, Snowflake and Airflow to create reliable ...

BC Forward

AI Data Engineer 3

Redmond, WA

$65/hr

Applications Dev & Test - AI Data Engineer 3 Location: Redmond, WA Duration: 13 months+ Pay Range ... Experience with Spark and Airflow on Azure for log and event streaming pipelines. Working knowledge ...

PitchBook Data

Sr. Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Mentor and guide less experienced data engineers, contributing to their professional development ... Airflow), and distributed messaging (e.g. Kafka) * Experience with tools that capture and control ...

Weyerhauser Co

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

About the Role Weyerhaeuser's Data & Analytics team is looking for a Data Engineer to build and ... Airflow, Dagster, Prefect, etc.) are acceptable - including parameterized, dynamic, and metadata ...

Weyerhaeuser Company

Data Engineer

Seattle, WA

$130K - $156K/yr

About the Role Weyerhaeuser's Data & Analytics team is looking for a Data Engineer to build and ... Airflow, Dagster, Prefect, etc.) are acceptable - including parameterized, dynamic, and metadata ...

Akraya Inc.

Data Engineer III

Seattle, WA · On-site

$130K - $156K/yr

Amazon.com is looking for a Data Engineer to join the Infrastructure Automation team. Amazon.com ... Airflow, and SQL to build the various ETL, analytics, and data quality components. You'll automate ...

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 ...

Apple

Software Data Engineer

Seattle, WA

$139K - $258K/yr

In this role, you will work on systems that enable data engineers across Apple to build ... Airflow Demonstrated ability to build, test, and operationally maintain reliable software systems ...

Chewy

Data Engineer III

Bellevue, WA

$129K - $207K/yr

The Chewy Ads team is looking for Data Engineer III to help with integrating and processing data ... Airflow, Spark, PySpark, Docker, Databricks, Glue, cloud-native EDW (Snowflake or equivalent ...

Chewy

Data Engineer III

Bellevue, WA · On-site

$129K - $207K/yr

The Chewy Ads team is looking for Data Engineer III to help with integrating and processing data ... Airflow, Spark, PySpark, Docker, Databricks, Glue, cloud-native EDW (Snowflake or equivalent ...

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 ...

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

Data Engineer Airflow information

See Renton, WA salary details

$50.1K

$145.9K

$199.7K

How much do data engineer airflow jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data engineer airflow in Renton, WA is $145,908.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,800.00 and $154,700.00 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 job categories do people searching Data Engineer Airflow jobs in Renton, WA look for? The top searched job categories for Data Engineer Airflow jobs in Renton, WA are:
What cities near Renton, WA are hiring for Data Engineer Airflow jobs? Cities near Renton, WA with the most Data Engineer Airflow job openings:
Data Engineer Airflow jobs near you

AI Data Engineer

1 point system

Redmond, WA • On-site

$128K - $154K/yr

Contractor

Posted 9 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.