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

Python (advanced), SQL (advanced), AWS Redshift (intermediate), Apache Airflow (advanced), Data Warehousing (advanced) Contract Type: W2 Duration: 6 Months with possible extension Location: Seattle ...

Data Solutions Engineer

Seattle, WA · On-site

$130K - $156K/yr

... Airflow • Azure Logic Apps, Azure DevOps, Power Automate, REST API • Familiarity with Azure OpenAI and Document Intelligence for turning unstructured content into usable data. • Data analysis ...

Staff Software Engineer, Business Data

Seattle, WA · On-site

$130K - $156K/yr

We engineer scalable and efficient data pipelines and provide curated data products that give ... key tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong ...

Staff Software Engineer, Business Data

Seattle, WA · On-site

$130K - $156K/yr

We engineer scalable and efficient data pipelines and provide curated data products that give ... key tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong ...

Senior Data Platform Engineer

Seattle, WA · On-site

$120K - $164K/yr

Strong workflow orchestration experience with Apache Airflow; the company uses Astro / Astronomer ... Experience building reusable, self-service data products for non-engineer end users, including ...

What you will do: * Contribute to the design and evolution of the data platform, ensuring ... Terraform (IaC), Docker and Kubernetes (production) and Airflow (or similar orchestration) • ...

Senior Data Platform Engineer

Seattle, WA · On-site

$135K - $155K/yr

Leading with platform engineering - and with data engineering as the assumed foundation - the ... Strong workflow orchestration experience with Apache Airflow (we use Astro / Astronomer)

Leading with platform engineering - and with data engineering as the assumed foundation - the ... Strong workflow orchestration experience with Apache Airflow (we use Astro / Astronomer). Building ...

Software Engineer, Data Infrastructure

Seattle, WA · On-site

$130K - $156K/yr

You've supported Spark, Kafka, Flink, Airflow, Trino, or Iceberg as platforms. You're well-versed ... Have 4+ years in data infrastructure engineering OR * Have 4+ years in infrastructure engineering ...

Lead Data Architect

Bellevue, WA · On-site

$173K - $276K/yr

Partner closely with Data Engineering, Platform, and Enterprise Architecture teams to deliver ... Apache Airflow (or equivalent orchestration and transformation tools). • Prior experience in ...

Showing results 41-60

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 Sep 9, 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 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.

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 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.

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 are popular job titles related to Data Engineer Airflow jobs in Renton, WA?

For Data Engineer Airflow jobs in Renton, WA, the most frequently searched job titles are:

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:

Infographic showing various Data Engineer Airflow job openings in Renton, WA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 17% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $145,908 per year, or $70.1 per hour.

Lead Big Data Engineer /Seattle, WA ( Onsite) ,12 Months Contract

Seattle, WA • On-site

Suncap Technology
Recruiting and Staffing Services • 51 - 200 employees

$116K - $153K/yr

Full-time

Re-posted yesterday


Job description

Job Summary:
Suncap Technology is seeking a Lead Big Data Engineer to lead a team in migrating a large-scale data warehouse to Azure. The role involves managing engineering efforts, mentoring junior engineers, and facilitating agile project management.
Responsibilities:
• Lead a team of software engineers in the migration of a large-scale data warehouse and associated data pipelines.
• Ability to have trade-off discussions, with engineering team, around data pipeline design with the goal of driving consensus on approach.
• Attend cross-functional meetings with project Technical Product Manager (TPM).
• Work with the TPM to translate requirements into backlog items
• Lead the engineering team in backlog grooming and refinement meetings.
• Work with team to prioritize product and engineering backlog items in planning meetings
• Lead daily stand-up meetings and drive action items and ownership around blocking items.
• Communicate schedule/project timeline status to engineering manager and TPM, highlighting key trade-off discussions.
• Mentor junior engineers and help them to grow their skills in story creation, decomposition, and estimation.
Qualifications:
Required:
• 7+ years of experience in software engineering and data engineering
• Experience with Azure Cloud Analytics Platforms including PaaS and IaaS services: Azure Data Lake Storage, Azure Data Factory, Kafka, Azure Synapse
• Experience with Analytics Platforms and related technologies: Spark/Databricks, Apache Streaming, Delta Tables, and Airflow
• Experience leading a team of software engineers in large-scale data warehouse and data pipelines migration
• Experience designing and implementing data pipelines and workflow management
• Experience with data warehouse/lake house architectures and data modeling
• Strong problem-solving skills
• Strong communication and leadership skills
• Strong ability to drive engineering trade-off discussions with the goal of driving consensus
• Experience in Agile methodologies such as Scrum, specifically in the role of Scrum Master
• Bachelor's degree in Computer Science or related field
Company:
Suncap Technology is a staffing firm that provides recruiting and financial staffing services. Founded in , the company is headquartered in Davie, USA, with a team of 51-200 employees. The company is currently Growth Stage.

Suncap Technology Executive and Financial Staffing logo

About Suncap Technology Executive and Financial Staffing

Sourced by ZipRecruiter

Suncap Technology Executive and Financial Staffing is a unique staffing firm specializing in creating custom-matched connections between professionals and companies in temporary, contract-to-hire, direct hire and retained positions. We provide staffing & industry-specific solutions for hiring with confidence.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Davie, FL, US

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