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

Mactores

AWS Data Engineer (Associate)

Seattle, WA

$130K - $156K/yr

Prior experience in working on AWS EMR, Apache Airflow * Certifications AWS Certified Big Data - Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer

Nordstrom

Data Engineer 2

Seattle, WA · On-site

$121K - $188K/yr

... and Airflow. * Experience in scalable distributed systems, service-oriented and event-driven ... Experience with best practices for data engineering and operational excellence. * Bachelor's or ...

Mactores

AWS Data Engineer (Associate)

Seattle, WA · Remote

$117K - $140K/yr

Prior experience in working on AWS EMR, Apache Airflow * Certifications AWS Certified Big Data - Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer

Mactores

AWS Data Engineer (Associate)

Seattle, WA · On-site +1

$130K - $156K/yr

Prior experience in working on AWS EMR, Apache Airflow * Certifications AWS Certified Big Data - Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer

Amazon

Data Engineer, WW Ops Finance S&A

Bellevue, WA

$129K - $155K/yr

You will be responsible for developing and operating a data service platform using Python, Airflow ... with programming languages such as Scala/Python are essential for this role. Key job ...

Amazon

Data Engineer, WW Ops Finance S&A

Bellevue, WA

$129K - $155K/yr

You will be responsible for developing and operating a data service platform using Python, Airflow ... with programming languages such as Scala/Python are essential for this role. Key job ...

Okta

Staff Data Engineer (Auth0)

Bellevue, WA · On-site

The Auth0 Data Engineering Team Within Auth0, the Data Engineering team builds solutions to support ... Airflow). * Strong proficiency in Python and SQL, with a high bar for code quality and system ...

Apple

Senior Software Data Engineer

Seattle, WA

$142K - $263K/yr

We are seeking a Senior Software Data Engineer who brings deep technical expertise and the ... Airflow at enterprise scale Proven ability to drive end-to-end technical ownership of complex ...

Rock Connections

Data Engineer II

Seattle, WA · On-site

$119K - $162K/yr

As a Data Engineer II, you will share ownership of Redfin's Data Platform, owning business critical ... Experience with Git / Jenkins / Airflow / Docker / Kubernetes / Spark is a plus * Experience with ...

Mactores

AWS Data Engineer (Senior)

Seattle, WA · On-site

$120K - $163K/yr

Mactores is seeking an AWS Data Engineer (Senior) to join our team. The ideal candidate will have ... Build and maintain the orchestration of data pipelines using Airflow. * Collaborate with other ...

Mactores

AWS Data Engineer (Senior)

Seattle, WA · On-site +1

$120K - $163K/yr

Mactores is seeking an AWS Data Engineer (Senior) to join our team. The ideal candidate will have ... Build and maintain the orchestration of data pipelines using Airflow. * Collaborate with other ...

Mactores

AWS Data Engineer (Senior)

Seattle, WA · Remote

$108K - $147K/yr

Mactores is seeking an AWS Data Engineer (Senior) to join our team. The ideal candidate will have ... Build and maintain the orchestration of data pipelines using Airflow. * Collaborate with other ...

Salesforce, Inc.

Data Engineer - MTS/SMTS/LMTS

Seattle, WA

$130K - $156K/yr

Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where ... Strong proficiency in Python and familiarity with distributed data frameworks such as Airflow ...

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Showing results 1-20

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 Jul 13, 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
Infographic showing various Data Engineer Airflow job openings in Renton, WA as of July 2026, with employment types broken down into 3% Locum Tenens, 92% Full Time, 1% Part Time, and 4% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $145,908 per year, or $70.1 per hour.
AWS Data Engineer (Associate)

AWS Data Engineer (Associate)

Mactores

Seattle, WA

$130K - $156K/yr

Full-time

Re-posted 9 days ago

Job description

Mactores is the agent-native AWS modernization firm. We ship modernization to production in weeks - data platforms migrated, applications refactored, AI agents running against real data. Our delivery is built on the agent platform built by our team, and executed by forward-deployed engineers who own outcomes end-to-end. Fixed-date commitments. Real production systems. Retired legacy.

We are an AWS Premier Tier Services Partner with the AWS Agentic AI Specialization, seven AWS Consulting Competencies (including Migration and Modernization, Data and Analytics, Machine Learning, and AI Services), and seventeen AWS Service Validations. Our named production customers include Synaptics, Flipboard, Poshmark, Tilia, KlearTrust, and Safaricom.

Most modernization work doesn't ship. Ours does. That's the job.

 

As AWS Data Engineer, you are a full-stack data engineer that loves solving business problems. You work with business leads, analysts, and data scientists to understand the business domain and engage with fellow engineers to build data products that empower better decision-making. You are passionate about the data quality of our business metrics and the flexibility of your solution that scales to respond to broader business questions. 

If you love to solve problems using your skills, then come join the Team Mactores. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.
What you will do?
  • Write efficient code in - PySpark, Amazon Glue
  • Write SQL Queries in - Amazon Athena, Amazon Redshift
  • Explore new technologies and learn new techniques to solve business problems creatively
  • Collaborate with many teams - engineering and business, to build better data products and services 
  • Deliver the projects along with the team collaboratively and manage updates to customers on time
What are we looking for?
  • 1 to 3 years of experience in Apache Spark, PySpark, Amazon Glue
  • 2+ years of experience in writing ETL jobs using  pySpark, and SparkSQL
  • 2+ years of experience in SQL queries and stored procedures
  • Have a deep understanding of all the Dataframe API with all the transformation functions supported by Spark 2.7+
You will be preferred if you have
  • Prior experience in working on AWS EMR,  Apache Airflow
  • Certifications AWS Certified Big Data - Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer
  • Understanding of DataOps Engineering
Life at Mactores
 
We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.
 
1. Be one step ahead
2. Deliver the best
3. Be bold
4. Pay attention to the detail
5. Enjoy the challenge
6. Be curious and take action
7. Take leadership
8. Own it
9. Deliver value
10. Be collaborative
 
We would like you to read more details about the work culture on https://mactores.com/careers 
 
The Path to Joining the Mactores Team
At Mactores, our recruitment process is structured around three distinct stages:
 
Pre-Employment Assessment: 
You will be invited to participate in a series of pre-employment evaluations to assess your technical proficiency and suitability for the role.
 
Managerial Interview: The hiring manager will engage with you in multiple discussions, lasting anywhere from 30 minutes to an hour, to assess your technical skills, hands-on experience, leadership potential, and communication abilities.
 
HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.
 
At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. All employment decisions will be made in compliance with these principles.
 
 
Note: Please answer as many questions as possible with this application to accelerate the hiring process.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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