Top 237 Data engineer Jobs in Kirkland Wa

Machine Learning Data Engineer
Outpost —Seattle, WA
- $130,000 - $160,000 a year
- Full-time
- Hybrid work
- Mid-level
- Analysis skills
- AI
- Paid holidays
- Health insurance
Data Engineer
Microsoft —Redmond, WA
- $102,100 - $219,200 a year
- Full-time
- Background check
- Azure
- Computer Science
Data Engineer, Specialist Technology Team (STT), Centralized Data & Analytics
Amazon Web Services, Inc. —Seattle, WA
- $132,100 - $196,600 a year
- Full-time
- 3 years
- SQL
- Senior level
- AD&D insurance
- Health insurance
Data Engineer, E-Commerce
TikTok —Seattle, WA
- $153,900 - $300,960 a year
- Computer science
- Computer Science
- Bachelor of Science
- Paid parental leave
- Paid holidays
Software Data Operations Engineer
MAQ Software —Redmond, WA
- $85,000 - $120,000 a year
- Full-time
- Computer Science
- Mid-level
- Office
- Health insurance
- Dental insurance
Staff Software Engineer - Distributed Data Systems
Databricks —Bellevue, WA
- $182,400 - $247,000 a year
- Computer science
- Computer Science
- Bachelor of Science
Senior Software Engineer - Distributed Data Systems
Databricks —Bellevue, WA
- $157,700 - $213,800 a year
- Computer science
- Computer Science
- 5 years
Data Engineer
Weyerhaeuser —Seattle, WA
- $98,811 - $148,217 a year
- Full-time
- Computer science
- Computer Science
- System design
- Paid parental leave
- Health savings account
Systems Engineer, Controls Fleet, Data Center Capacity Delivery
Amazon Web Services, Inc. —Seattle, WA
- $104,500 - $160,000 a year
- Full-time
- Computer science
- Travel
- Experience equivalent to degree accepted
- AD&D insurance
- Health insurance
Data Engineer - AI Trainer
DataAnnotation —Seattle, WA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Senior Data Engineer
The Trade Desk —Bellevue, WA
- $124,900 - $228,900 a year
- On call
- Computer science
- Computer Science
- Java
Data Engineer, Data Engineering and Analytics - USDS
TikTok USDS JV —Seattle, WA
- $129,960 - $246,240 a year
- Hybrid work
- Computer science
- Computer Science
- System design
- Paid parental leave
- Paid holidays
Data Platform Engineer
Astronomer —Seattle, WA
- $200,000 - $250,000 a year
- Full-time
- Remote
- Mid-level
- Communication skills
- Python
Data Engineer II, AWS Analytics Engineering
Amazon Development Center U.S., Inc. —Seattle, WA
- $132,100 - $178,800 a year
- Full-time
- System design
- 3 years
- SQL
- AD&D insurance
- Health insurance
Data Engineer
Trupanion —Seattle, WA
- $130,000 - $150,000 a year
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
- Free parking
- Paid holidays
11d
Data Com Engineer
Engineering Network International —Bellevue, WA
- Microsoft Excel
- Mid-level
- Windows
Data Engineer II
Rocket Companies —Seattle, WA
- $119,900 - $162,200 a year
- Full-time
- Azure
- Mid-level
- 3 years
- Health insurance
- Dental insurance
Data Engineer II
Microsoft —Redmond, WA
- $102,100 - $219,200 a year
- Full-time
- Background check
- Computer Science
- Mid-level
3d
Data Engineer
BNBuilders —Seattle, WA
- $80,000 - $85,000 a year
- Computer science
- Computer Science
- Mid-level
- Paid parental leave
- Health savings account
Data Engineer 1, Insights Delivery Finance (Hybrid - Seattle, WA)
Nordstrom —Seattle, WA
- $104,500 - $162,500 a year
- Full-time
- Computer Science
- Office
- Master's degree
- Store discount
- Disability insurance
3d

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data engineer jobs near kirkland wa

Machine Learning Data Engineer

Outpost -
Seattle, WA

Apply Now

Job Details

Full-time
$130,000 - $160,000 a year

Benefits

Paid holidays
Health insurance
Unlimited paid time off
Dental insurance
Vision insurance
401(k) matching

Qualifications

Data integrity assurance
Data quality checks
Tooling
Automation software
Production systems
Python
Data analysis software

Full Job Description

About Us:

Outpost is building the backbone of freight. We’re reinventing how supply chain infrastructure works in America with carrier agnostic truck terminals. As a vertically integrated real estate, operations, and technology company, we acquire and operate mission-critical real estate across the country to serve the largest logistics providers in the world. Backed by $1B from Greenpoint Partners, we’re scaling and building the most valuable logistics network in the country.

We thrive on accountability, integrity, and a shared drive to raise the bar. If you’re excited to reshape the industry alongside a high-performance team with a championship mindset that executes relentlessly, welcome aboard.

Role Summary:

Our platform combines AI-powered gate automation, computer vision, and operational software to help logistics operators run smarter, faster facilities. We're a small, high-conviction team shipping real software that ends up in real yards, at real gates, moving real freight; and we're growing fast, with revenue set to grow 10X over the next 18 months.

As we onboard more customers, our computer vision system sees more camera layouts, identifier types, and edge cases than ever. We need someone to own accuracy end-to-end: measuring it, understanding why we get it wrong, and turning that into the labeled data that makes our models better. Today that's mostly measurement and curation. Once the pipeline matures and moves into maintenance mode, we expect this role to also contribute fixes to the product itself, not just flag issues for others to resolve.

Key Responsibilities:

Own tracking and reporting of CV accuracy metrics, per customer and per identifier type.
Investigate misclassifications and false negatives, categorize root causes, and identify patterns across customers and yards.
Curate, label, and prioritize datasets for model retraining, partnering closely with our ML and CV engineers.
Build and improve the continuous learning pipeline so new models ship weekly with minimal manual engineering effort.
Define functional acceptance criteria for CV accuracy per customer and track progress against them.
Translate accuracy findings into decisions the engineering team and customer-facing stakeholders can act on.
As the pipeline matures, expect to move from flagging issues to fixing them directly; building the labeling/preprocessing tooling, running retraining jobs, and owning fixes for the error patterns you find, not just reporting them.

What You Can Expect:

Direct ownership over the metric that decides whether our product works in the real world.
A small team that moves fast, argues in good faith, and trusts engineers to make decisions.
Real influence on what the ML team builds next; your findings drive the roadmap, not the other way around.
Problems grounded in the physical world: gates, cameras, trucks, and yards.

Qualifications:

3+ years in a data quality, ML data engineering or applied ML role.
Experience working with computer vision or object detection systems in production.
Comfortable writing Python for data analysis, pipeline automation, and dataset tooling.
Strong analytical rigor, comfortable digging into large volumes of imagery/data to find patterns, not just running a script and reporting a number.
Experience with dataset annotation/labeling tools and workflows (Roboflow, Labelbox, CVAT, or similar).
Strong communication skills.

Preferred Qualifications:

Experience with continuous learning or active learning pipelines for production ML systems.
Familiarity with OCR systems and identifier recognition (plates, container numbers, etc.).
Experience partnering with customer success or support teams on quality metrics.
Background in QA/test engineering for ML systems.
Experience with Roboflow specifically.

Our Stack:

Python · Roboflow · VLM/OCR pipelines · GCP (GCS) · PostgreSQL · Snowflake · Node.js/TypeScript

Benefits:

Title Commensurate with Experience
Comprehensive Benefits Package including Health, Dental, and Vision Insurance
401(k) Retirement Plan Matching
18 Paid Holidays
Unlimited PTO
Friday Team Lunches
Base salary range: $130,000 – $160,000 annually, depending on experience and qualifications. Total compensation includes a discretionary bonus; a complete compensation and benefits summary will be provided during the interview process.

Outpost is an Equal Opportunity Employer and Prohibits Discrimination of Any Kind.

Apply Now

Refine Your Search

data engineer jobs in kirkland wa

Machine Learning Data Engineer

Data Engineer

Data Engineer, Specialist Technology Team (STT), Centralized Data & Analytics

Data Engineer, E-Commerce

Software Data Operations Engineer

Staff Software Engineer - Distributed Data Systems

Senior Software Engineer - Distributed Data Systems

Data Engineer

Systems Engineer, Controls Fleet, Data Center Capacity Delivery

Data Engineer - AI Trainer

Senior Data Engineer

Data Engineer, Data Engineering and Analytics - USDS

Data Platform Engineer

Data Engineer II, AWS Analytics Engineering

Data Engineer

Data Com Engineer

Data Engineer II

Data Engineer II

Data Engineer

Data Engineer 1, Insights Delivery Finance (Hybrid - Seattle, WA)

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