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

Dlapiper

Data Engineer

Seattle, WA

$130K - $156K/yr

Responsibilities Data Pipeline Engineering & Integration * Build and operationalize data pipelines across heterogeneous environments, aligning to governance principles and service expectations (SLAs)

Staffingine LLC

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Knowledge of Big Data pipelines, Data Engineering * Working Knowledge of the MSBI stack on Azure * Working Knowledge of Azure Data factory, Azure Data Lake, and Azure Data lake storage * Hands-on in ...

Novoco

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

The Data Engineer is responsible for building, operating, and optimizing the organization ... Ensure data pipelines are resilient, observable, and performant. * Monitor, troubleshoot, and ...

Goli Tech

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Technical leadership for the expansion and optimization of data collection and data pipeline ... Proficient with DevOps tools and environments like Azure DevOps, Jenkins, Gitlab, Ansible ...

1 point system

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Minimum 5 years of experience in data engineering and data integration ... Strong proficiency in SQL, ETL processes, and data pipeline development. Typical Day in the Role

1 point system

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Minimum 5 years of experience in data engineering and data integration ... Strong proficiency in SQL, ETL processes, and data pipeline development. Typical Day in the Role

Aquent

Data Engineer

Redmond, WA · On-site

$80 - $85/hr

Monitor, troubleshoot, and resolve data pipeline, query, reporting, and production issues to ... Collaborate effectively with cross-functional engineering teams to deliver scalable, high-quality ...

Brillio

Lead Data Engineer - R01568940

Seattle, WA · On-site

$130K - $156K/yr

Brillio is looking for a Data Engineer to join the Data Pipeline team. As a member of the team, you will get to live on the front edge of modern technology by building on things like Databricks ...

WaFd Bank

Senior Data Engineer

Seattle, WA · On-site

$135K - $173K/yr

As a Senior Data Engineer, you will have a leading role in designing, building, and maintaining the organization's data repository and integration platforms, data flows (pipelines/integrations), and ...

WaFd Bank

Senior Data Engineer

Seattle, WA · Hybrid

$135K - $173K/yr

As a Senior Data Engineer, you will have a leading role in designing, building, and maintaining the organization's data repository and integration platforms, data flows (pipelines/integrations), and ...

WaFd Bank

Senior Data Engineer

Seattle, WA · Hybrid

$135K - $173K/yr

As a Senior Data Engineer, you will have a leading role in designing, building, and maintaining the organization's data repository and integration platforms, data flows (pipelines/integrations), and ...

Redfin Corporation

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 ... The ideal candidate is a data pipeline builder who enjoys optimizing existing systems as well as ...

Rock Connections

Data Engineer II

Seattle, WA

$119K - $162K/yr

As a Data Engineer II, you will share ownership of Redfin's Data Platform, owning business critical ... The ideal candidate is a data pipeline builder who enjoys optimizing existing systems as well as ...

ConfigUSA

Python developer (data engineering)

Seattle, WA · On-site

$57.25 - $78.75/hr

... data engineering and application development. Proficiency in frontend and backend frameworks ... Solid understanding of data pipeline design, ETL processes, and optimization. Knowledge of Postgres ...

Staffingine LLC

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Job Location: Bellevue - Washington Job Type: Contract to Hire ... Design build and maintain robust scalable and efficient data pipelines using tools such as Azure ...

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Data Pipeline Engineer information

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$50.6K

$147.6K

$202K

How much do data pipeline engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data pipeline engineer 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 does a data pipeline engineer do?

A Data Pipeline Engineer designs, builds, and maintains systems that move and process data efficiently. They ensure data flows reliably from various sources to storage and analytics platforms. Their role involves working with ETL processes, data orchestration tools, and cloud or on-premises infrastructure. They collaborate with data scientists, analysts, and software engineers to enable data-driven decision-making.

What are the key skills and qualifications needed to thrive as a data pipeline engineer?

To thrive as a Data Pipeline Engineer, you need expertise in data modeling, ETL processes, and proficiency with programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with tools such as Apache Spark, Kafka, Airflow, and experience with cloud platforms like AWS or Azure are often required, and certifications in these technologies can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with data teams and troubleshoot complex issues. These skills ensure robust, scalable data pipelines that meet business needs and enable reliable analytics and decision-making.

What are the main challenges faced by data pipeline engineers in their daily work?

Data Pipeline Engineers often encounter challenges like designing scalable systems to handle large volumes of data, ensuring data quality and integrity across multiple sources, and optimizing performance for real-time processing. They may also need to troubleshoot unexpected data failures, adapt to rapidly changing business requirements, and keep up with evolving technology stacks. Collaboration with data scientists, analysts, and software engineers is common to align pipeline development with analytical goals and operational needs. Overcoming these challenges involves continual learning, adaptability, and strong communication within multidisciplinary teams.

What are the most commonly searched types of Data Pipeline Engineer jobs in Seattle, WA?

The most popular types of Data Pipeline Engineer jobs in Seattle, WA are:

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For Data Pipeline Engineer jobs in Seattle, WA, the most frequently searched job titles are:

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Data Pipeline Engineer jobs near you
Infographic showing various Data Pipeline Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $147,621 per year, or $71 per hour.

Principal Scientist - Data Pipeline Engineer

Adobe

Seattle, WA

Full-time

Re-posted 6 days ago

Adobe rating

8.9

Company rating: 8.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

40th of 246 rated software companies

Job description

ABOUT THE ROLE

We'relookingfor a PrincipalMLEngineer to architect and scale themultimodaldataprocessingpipelines and infrastructure behind Adobe Firefly's multimodal foundation models (image, video, audio). In this role,you'llsit at the intersection of data engineering and applied ML building distributed, GPU-accelerated systems that turn billions of raw assets into training-ready data at scale.

Your work will directlydeterminehow fast and how wellAdobemodels can learndirectlyimpactedbythe throughput and reliability of our data pipelines, and thequality of data that reaches training. This is a senior individual contributor role with broad technical influence across data, infrastructure, and modeling teams.

WHAT YOU'LL DO

OPTIMIZE DATA PROCESSING PIPELINES AT SCALE

  • Architect andoptimizelarge-scaledistributed pipelines that process billions of images, video, and audio assetsthrough ML workflowsinto training-ready data

  • Scale up inference throughput across the pipeline(batching, parallelism, hardwareutilization)to turn raw collected data into training data faster and more cheaply

  • Identifyandeliminatebottlenecks across ingestion, processing, and delivery, from storage and I/O to compute scheduling

ARCHITECTSCALABLE DATA INFRASTRUCTURE

  • Design systems that reliably store, index, and serve billions of data points, each requiring substantial processingspanning large-scale databases, distributed storage, and high-throughput compute

  • Apply deepexpertisein distributed systems and frameworks such as Ray (or equivalent) to orchestrate large-scale, GPU/CPU-heavy data workloads

  • Own architecture decisionsincludingdatabase and storage choices, job scheduling, GPU clusterutilizationthat let the platform scale alongside data and model growth

DRIVE DATA CURATION FOR MODEL TRAINING

  • Bring a strong ML background,especially inference optimization for VLMs and LLMsanddatacurationfor training

  • Partner closely with modeling teams to understand what dataimprovestraining outcomes, and translate that into pipeline and curation requirements

  • Operate as a hands-on technical leader who bridges data engineering and applied ML

WHAT YOU NEED TO SUCCEED

  • 10+ years of experience in data engineering, ML infrastructure, or distributed systems, including work at large scale (billions of records or assets)

  • Strong software engineering background, with hands-onexpertisein distributed systems and frameworks such as Ray, Spark, or equivalent large-scaledataprocessing frameworks

  • Proficiencyin Python, plus strong experience in a systems-level language (C++, Rust, Go, or Java) with strong debugging skills across distributed and ML-centric runtime environments.

  • Deep knowledge of databases and storage systems at scalesuch asdata lakes, indexing, and retrieval across billions of data points

  • Strong ML background, particularlyexpertiseinoptimizingGPU inference pipelines for VLMs, LLMs, or other large models (batching, quantization, serving, throughput/latency tradeoffs)

  • Experience with data curation for model training:understanding what makes data valuable for training generative or multimodal models, not just how to move it efficiently

  • Comfortoperatingacross the full stack, from low-level systems and GPU optimization to higher-level data strategy and curation decisions

  • Ability to communicate clearly and partner effectively across data, infrastructure, and modeling teams

  • Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Machine Learning, or a related field

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.


Let's Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $206,300 -- $388,000 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $268,000 - $388,000 In Washington, the pay range for this position is $247,200 - $357,900

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

What Adobe employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982

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