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Nesting Engineer Jobs in Seattle, WA (NOW HIRING)

Geico

Senior Engineer

Seattle, WA

$100K - $215K/yr

GEICO is seeking an experienced Engineer with a passion for building high-performance,low ... Proficiency with SQL and NoSQL databases, including working with structured and nested data formats ...

TMMG

(C) Senior Marine Designer IV

Seattle, WA · On-site

$89K - $112K/yr

... nests, bills of material, and technical documentation needed to move work efficiently from engineering into fabrication and construction. The ideal candidate will bring strong shipyard design ...

Sinclair Broadcast Group

Broadcast Engineer

Seattle, WA · On-site

$31.53 - $33.53/hr

KOMO in Seattle, WA is currently seeking a Broadcast Engineer to provide technical support to KOMO ... The Nest. Sinclair's AMP Media produces a growing portfolio of digital content and original ...

Digital Remedy

Broadcast Engineer

Seattle, WA · On-site

$31.53 - $33.53/hr

KOMO in Seattle, WA is currently seeking a Broadcast Engineer to provide technical support to KOMO ... The Nest. Sinclair's AMP Media produces a growing portfolio of digital content and original ...

Brinc Drones Inc

Software Engineer, Embedded

Seattle, WA · On-site

$110K - $250K/yr

... nests, and a variety of support equipment & accessories. Key Responsibilities: * Own end-to-end ... Experience with C, C++, Python and related programming and scripting languages * Experience working ...

Seaworthy

Programmer

Seattle, WA

$30.25 - $41.25/hr

Programmer Seaworthy is looking for a CNC Operator / Programmer to develop and run the wood ... part nesting, waste reduction, and stock tracking • Work with the broader team to flag design ...

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Showing results 1-20

All JobsNesting Engineer JobsNesting Engineer Jobs in Seattle, WA

Nesting Engineer information

See Seattle, WA salary details

$44.4K

$115.8K

$156.5K

How much do nesting engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for nesting engineer in Seattle, WA is $115,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $132,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Nesting Engineer position, and why are they important?

A successful Nesting Engineer needs a strong background in mechanical engineering, CAD/CAM software proficiency, and a solid understanding of manufacturing processes and materials. Familiarity with specialized nesting software such as SigmaNEST, AutoCAD, or TruTops, and often certifications in CAD or sheet metal fabrication are typically required. Attention to detail, excellent problem-solving skills, and effective teamwork abilities help Nesting Engineers excel in optimizing production layouts. These skills ensure efficient material usage, minimize waste, and contribute to streamlined manufacturing operations.

What are the typical daily responsibilities of a Nesting Engineer?

Nesting Engineers spend their days preparing and optimizing cutting patterns for sheet metal or other raw materials using advanced CAD/CAM and nesting software. They collaborate closely with production planners, machine operators, and quality assurance teams to ensure that designs are not only efficient but also manufacturable to required specifications. Regular tasks include analyzing job orders, updating project files, troubleshooting design issues, and making real-time adjustments for manufacturing constraints. This role involves both independent technical work and active communication with various departments to keep production running smoothly.

What is a Nesting Engineer job?

A Nesting Engineer is responsible for optimizing the arrangement of parts on raw materials, such as metal sheets, to minimize waste and improve manufacturing efficiency. They use specialized CAD/CAM software to generate cutting patterns for CNC machines. This role requires knowledge of manufacturing processes, material properties, and cost optimization. Nesting Engineers work closely with production teams to ensure accuracy and efficiency in fabrication.

What are popular job titles related to Nesting Engineer jobs in Seattle, WA? For Nesting Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Nesting Engineer jobs in Seattle, WA look for? The top searched job categories for Nesting Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Nesting Engineer jobs? Cities near Seattle, WA with the most Nesting Engineer job openings:
Nesting Engineer jobs near you
Infographic showing various Nesting Engineer job openings in Seattle, WA as of June 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $115,797 per year, or $55.7 per hour.
Principal Software Engineer, Data Engineering

Principal Software Engineer, Data Engineering

Highspot

Seattle, WA

$153K - $206K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

About Highspot
Highspot is pioneering the category that is fundamentally changing the way companies increase sales productivity. On a mission to transform the way millions of people work with sales enablement, Highspot is committed to building breakthrough software with a spark of magic. We believe a great place to work is about more than the work - it's about what the company stands for, and how it authentically represents its values in the real world. To this end, we have put intentional focus on creating equitable workspaces for each of our employees. Our goal is to create a culture where everyone feels a deep sense of belonging and is empowered to be an agent of change, with the ability to transform themselves, their workplace, and their world.

About the Role

We are looking for a Principal Data Engineer to join our growing Data Platform team. This is a rare opportunity to define the technical vision for high-scale data products that power customer-facing analytics, intelligent AI agents, and core product capabilities.

Highspot's data engineering challenges are uniquely interesting: our platform generates rich, deeply nested document-oriented data from millions of enterprise interactions - content engagement, CRM activity, sales workflows - and our job is to make all of it available, trustworthy, and fast for radically different consumption patterns. Customer-facing analytics dashboards need pre-aggregated, low-latency reads. Scorecards and reports need flexible dimensional models. AI agents need fresh, contextually assembled data with retrieval characteristics that look nothing like traditional BI. You'll own the architecture that serves all three from a unified foundation.

As a Principal Data Engineer, you will shape our overarching data architecture direction and fundamentally influence our data strategy. Your impact will extend well beyond your immediate crew - acting as a vital bridge that coordinates directly with upstream software engineering teams (data producers) as well as downstream engineering and AI teams (data consumers) across multiple organizational pillars. You will lead the technical execution of a high-performing engineering crew, balancing deep architectural pipeline design with advanced data modeling, query optimization, and data trust.
What You'll Do

  • Architect the data platform - drive the technical direction for a scalable, reliable data platform built on a medallion architecture that serves customer-facing analytics, reporting, and agentic AI from a unified foundation.

  • Build and optimize ingestion pipelines - design robust CDC, real-time streaming (Kafka, Flink), and batch processing pipelines that transform complex, nested document-oriented operational data into clean analytical models at enterprise scale.

  • Tame schema complexity - build resilient ingestion and transformation layers that gracefully handle deeply nested, continuously evolving document schemas - deciding where to absorb complexity (ingestion, transformation, or query time) and making those tradeoffs explicit and sustainable.

  • Serve AI and analytics consumption patterns - architect data products that support both traditional BI workloads (pre-aggregated dashboards, dimensional models for scorecards and reports) and emerging AI consumption patterns (low-latency retrieval, contextual assembly, freshness-sensitive agent queries).

  • Own data quality, contracts, and observability - establish the data trust infrastructure that makes cross-team data consumption reliable: schema contracts with upstream producers, data quality monitoring, lineage tracking, freshness SLAs, and clear escalation paths when things break.

  • Drive cost-aware architecture - own Snowflake warehouse optimization, compute governance, and cost-efficient pipeline design. Build the practices and visibility so the team makes principled cost/performance tradeoffs rather than discovering them on the invoice.

  • Bridge producers and consumers - collaborate across organizational boundaries to align upstream software engineering teams and downstream analytics and AI teams around unified data strategies, shared contracts, and engineering standards.

  • Lead and grow the team - technically lead and growth-coach a diverse crew of data engineers. Champion best practices across the full spectrum of data engineering disciplines, from low-level pipeline architecture to sophisticated data modeling and analytical query performance.

Your Background
What will set you apart:

  • Demonstrated depth in building production data platforms that serve multiple consumption patterns - you've gone beyond traditional BI to support real-time product features, AI/ML workloads, or customer-facing analytics from the same data foundation.

  • Deep experience with the impedance mismatch between document-oriented operational stores and analytical systems - you've dealt with nested, schema-evolving source data (MongoDB, DynamoDB, or similar) and have opinions on where flattening and transformation should live.

  • Hands-on experience with data quality and trust at scale - you've built or operated schema registries, data contracts, quality monitoring, or lineage systems in an environment where multiple teams depend on shared data products.

  • Track record of cost-conscious data architecture - you've optimized Snowflake (or comparable) warehouse spend, designed compute governance policies, or re-architected pipelines to materially reduce cost without sacrificing reliability.

  • Strong instinct for the bridge role: you're as comfortable pushing back on an upstream team's schema change as you are negotiating freshness SLAs with a downstream AI consumer.

Foundations:

  • 8+ years of professional software engineering experience, with significant time spent on distributed, data-intensive production systems -  including substantial depth in data pipeline and platform architecture.

  • Deep hands-on expertise with modern data technologies: Snowflake, Apache Kafka, Apache Flink, and CDC tooling (Debezium or similar).

  • Experience developing and operating cloud data infrastructure at enterprise scale (AWS preferred), including infrastructure-as-code (Terraform) and CI/CD automation.

  • Strong programming skills in Python, Java, and SQL. You write production-grade code, not just scripts.

  • A track record of designing performant data models that support fast, efficient querying for analytical and product-facing use cases.

  • Strong cross-functional communication skills - you work effectively with software engineers, data scientists, AI teams, and business stakeholders across organizational boundaries.

  • Experience mentoring engineers and building collaborative, high-performing teams.

Base salary range: $188,696 - $258,391
Employees may also be eligible for bonuses and other forms of compensation.
The above represents total expected compensation for this role. Actual compensation will depend on various job-related factors, including, but not limited to, location, experience, and job qualifications.


Highspot also offers the following employee benefits for this position:
-Comprehensive medical, dental, vision, disability, and life benefits
-Health Savings Account (HSA) with employer contribution
-401(k) Matching with immediate vesting on employer match
-Flexible PTO
-8 paid holidays and 5 paid days for Annual Holiday Week
-Quarterly Recharge Fridays (paid days off for mental health recharge)
-18 weeks paid parental leave
-Access to Coaches and Therapists through Modern Health
-2 volunteer days per year
-Commuting benefits

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Equal Opportunity Statement
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of age, ancestry, citizenship, color, ethnicity, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or invisible disability status, political affiliation, veteran status, race, religion, or sexual orientation.

Did you read the requirements as a checklist and not tick every box? Don't rule yourself out! If this role resonates with you, hit the 'apply' button.
Use of Artificial Intelligence (AI) in our Hiring Process: To help our recruiting team review the applications we receive, we use third-party AI-assisted tools as one input during early screening. To reduce the risk of bias, identifying details - including your name and information that could indicate age, race, gender, or disability - are removed before your resume is analyzed. This tool supports our recruiters; it does not replace them. Our team independently reviews applications, no candidate is rejected solely on the basis of the tool's output, and all hiring decisions are made by people. You may ask for your application to be reviewed without AI-assisted tools, and you may request a reasonable accommodation at any time. To do either, or to ask how your personal information is processed, contact [[email protected]]. Making a request will not affect your candidacy.
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