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Weekend Data Pipeline Engineer Jobs in Redmond, WA

Dlapiper

Data Engineer

Seattle, WA · On-site

$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 ...

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 ...

Spark Tek Inc

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Required : • 3+ years (or educational equivalent) building data pipelines using Azure data tools ... DevOps tools and environments like Azure DevOps, Jenkins, Gitlab, Ansible, Terraform. • ...

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

Keylent Inc

Sr. Data Engineer TECHM-JOB-25161

Seattle, WA · On-site

$130K - $156K/yr

Keylent Inc is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines. The role involves writing efficient code, troubleshooting technical issues, and implementing data ...

King County, WA

PME Data Engineer

Seattle, WA · On-site

$121K - $153K/yr

Create and Maintain Optimal Data Pipeline Architecture and Documentation * Consult with partners to ... Data Engineer WHO MAY APPLY: This position is open to all qualified candidates that meet the ...

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 · On-site

$135.05 - $173.65/hr

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 · 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 ...

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 ...

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Weekend Data Pipeline Engineer information

See Redmond, WA salary details

$67.8K

$136.8K

$187.6K

How much do weekend data pipeline engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for weekend data pipeline engineer in Redmond, WA is $136,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,400.00 and $156,800.00 per year, depending on experience, location, and employer.

What does a weekend data pipeline engineer do?

A Weekend Data Pipeline Engineer is responsible for designing, building, and maintaining data pipelines that process and move data efficiently, specifically during weekend shifts. They ensure data flows smoothly between systems, monitor performance, troubleshoot issues, and implement improvements. Their work supports data analysts, scientists, and other stakeholders who rely on timely and accurate data delivery. This role often requires expertise in ETL tools, programming, and cloud platforms, as well as availability for on-call or shift-based work during weekends.

What are the key skills and qualifications needed to thrive as a weekend data pipeline engineer, and why are they important?

To thrive as a Weekend Data Pipeline Engineer, you need a solid background in computer science, data engineering principles, and experience building and maintaining data pipelines, often supported by a relevant degree. Proficiency with ETL tools, cloud platforms like AWS or GCP, and data processing frameworks such as Apache Spark or Airflow is typically required. Strong problem-solving skills, attention to detail, and effective communication are vital soft skills for managing off-hours incidents and collaborating remotely. These skills and qualities ensure the reliability, efficiency, and scalability of data systems during critical weekend operations.

What are the unique challenges of working as a weekend data pipeline engineer, and how can I effectively manage them?

As a Weekend Data Pipeline Engineer, you may face challenges such as working with limited real-time support, handling system issues during off-peak hours, and managing updates or maintenance with minimal disruption. Success in this role often requires strong problem-solving skills, the ability to work independently, and clear documentation for handoff to weekday teams. Establishing proactive communication channels and automating monitoring or alerting systems can also help ensure smooth weekend operations and collaboration with your colleagues.

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

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

Weekend Data Pipeline Engineer jobs near you

Principal Scientist - Data Pipeline Engineer

Adobe

Seattle, WA • On-site

Full-time

Re-posted 17 days ago

Key responsibilities

  • Architect and optimize large-scale distributed data processing pipelines for multimodal data (images, videos, audio) to produce training-ready data.

  • Design and manage scalable data infrastructure, including storage, indexing, and serving of billions of data points, utilizing distributed systems and frameworks such as Ray.

  • Collaborate with modeling teams to understand data requirements for training and implement data curation and pipeline strategies to improve training outcomes.

Adobe rating

8.9

Company rating: 8.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

39th of 247 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

Adobe logo

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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