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Engineering Manager Transformer Jobs in Spokane, WA

Corporate Tools

Senior Data Engineer

Post Falls, ID · On-site +1

$150K/yr

... to manage everything that has to do with data. This role will help get large datasets into the ... cleans, transforms, and aggregates unorganized and messy data into databases or data sources.

Levitek LLC

Teamcenter Migration Tech Lead

Spokane, WA · On-site

$100 - $130/hr

Extract, transform, validate, and load engineering data into Teamcenter. Develop migration ... Data Management Understanding of Engineering Data Structures Strong Relational Database & SQL ...

New

ROCKWOOL

Sr. Mechanical Engineer (C)

Spokane, WA

$115K - $135K/yr

Master's degree in Mechanical Engineering and/or Project Management is preferred * 10+ years ... Founded in 1937 in Denmark, we transform volcanic rock into safe, sustainable products that help ...

OpenEye

Software QA Specialist II

Liberty Lake, WA · On-site

$22 - $28/hr

... transform insight into action-enhancing safety, streamlining operations, and enabling smarter ... Collaborate with Product Managers, Software Engineers, and stakeholders throughout Agile ...

OpenEye

Senior Software QA Specialist

Liberty Lake, WA · On-site

$81K - $111K/yr

... transform insight into action, enhancing safety, streamlining operations, and enabling smarter ... Partner with Product Managers, Software Engineers, Technical Support, and stakeholders to identify ...

OpenEye

Senior Software QA Specialist

Liberty Lake, WA · On-site

$81K - $111K/yr

... transform insight into action, enhancing safety, streamlining operations, and enabling smarter ... Partner with Product Managers, Software Engineers, Technical Support, and stakeholders to identify ...

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Showing results 21-40

All JobsEngineering Transformer JobsEngineering Manager Transformer JobsEngineering Manager Transformer Jobs in Spokane, WA

Engineering Manager Transformer information

See Spokane, WA salary details

$47K

$148.5K

$175.9K

How much do engineering manager transformer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for engineering manager transformer in Spokane, WA is $148,501.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,800.00 and $174,900.00 per year, depending on experience, location, and employer.

What is an engineering manager transformer?

An Engineering Manager Transformer is a leadership position focused on managing teams that develop, implement, and maintain transformer models, which are a type of machine learning model commonly used in natural language processing and other AI applications. This role combines technical expertise in transformer architectures with management responsibilities such as team coordination, project oversight, and mentoring engineers. Engineering Manager Transformers play a crucial role in setting technical direction, ensuring best practices, and facilitating collaboration across cross-functional teams. Their work impacts the successful deployment of large-scale AI solutions and helps organizations stay at the forefront of machine learning innovation.

What are the key skills and qualifications needed to thrive as an engineering manager transformer?

To excel as an Engineering Manager Transformer, you need a deep understanding of electrical engineering principles, transformer design, and manufacturing processes, usually backed by a bachelor’s or master’s degree in electrical engineering. Familiarity with CAD software, power system analysis tools, and industry standards such as IEEE or IEC, along with relevant certifications like Professional Engineer (PE), is highly valuable. Strong leadership, problem-solving abilities, and effective communication distinguish top performers in this role. These competencies are crucial for ensuring technical excellence, team productivity, and the successful delivery of complex transformer projects.

What are some typical challenges an engineering manager transformer faces when leading cross-functional teams?

Engineering Manager Transformers often navigate complex project requirements that require close collaboration between electrical, mechanical, and software engineering teams. One common challenge is aligning diverse technical perspectives and ensuring effective communication to meet project deadlines. Additionally, balancing resource allocation while maintaining high standards for safety and compliance can be demanding. Successful managers foster a collaborative environment and proactively address any knowledge gaps within the team to deliver high-quality transformer solutions.

What is the difference between Engineering Manager Transformer vs Data Engineer?

AspectEngineering Manager TransformerData Engineer
Required CredentialsBachelor's/Master's in Engineering, Computer Science; leadership experienceBachelor's in Computer Science, Data Science, or related field; technical skills in data systems
Work EnvironmentLeading teams, project management, cross-department collaborationBuilding and maintaining data pipelines, data modeling, database management
Employer & Industry UsageTech companies, AI/ML firms, organizations deploying Transformer modelsData-driven companies, analytics firms, AI/ML organizations

While both roles involve technical expertise, the Engineering Manager Transformer focuses on leading teams developing Transformer-based AI models, whereas Data Engineers build and maintain the data infrastructure supporting such models. The former emphasizes leadership and project management, while the latter concentrates on data pipeline development.

What are popular job titles related to Engineering Manager Transformer jobs in Spokane, WA?

For Engineering Manager Transformer jobs in Spokane, WA, the most frequently searched job titles are:

What job categories do people searching Engineering Manager Transformer jobs in Spokane, WA look for?

The top searched job categories for Engineering Manager Transformer jobs in Spokane, WA are:

What cities near Spokane, WA are hiring for Engineering Manager Transformer jobs?

Cities near Spokane, WA with the most Engineering Manager Transformer job openings:

Engineering Manager Transformer jobs near you
Infographic showing various Engineering Manager Transformer job openings in Spokane, WA as of July 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $148,501 per year, or $71.4 per hour.

Senior Data Engineer

Corporate Tools

Post Falls, ID • On-site, Remote

$150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago

Key responsibilities

  • Build and manage data services and platforms from scratch using OpenSource technology.

  • Create and maintain ETL pipelines that clean, transform, and load data from multiple sources into databases or data sources.

  • Collaborate with Data Analysts to provide necessary data and implement process improvements for scalability and automation.

Job description

Overview
Corporate Tools is hiring a Senior Data Engineer for up to $150,000/year. You will be a traditional company employee. This is a remote position, but if you're near one of our local offices, you're welcome to come hangout with us in-office as well. Our main offices are in Post Falls, ID, and Spokane, WA; we also have satellite offices in Austin, TX, and Salt Lake City, UT. You'll be working 40 hours a week and, of course, enjoy great company benefits.
As a Senior Data Engineer at Corporate Tools, you will work closely with our Software and Analyst teams to manage everything that has to do with data. This role will help get large datasets into the hands of people that need it while also making sure it doesn't adversely impact other things we have going on in our software ecosystem. There will be a heavy focus on infrastructure, data pipelines and scalable database design - we want someone who can help us improve our current databases and infrastructure and maintain it in a cost-effective manner. This is more than just building and maintaining ETL pipelines. We need innovation, creativity, and solutions that will have a significant impact on how our data is handled and created.
Wage
$150,000 / year
Benefits
  • 100% employer-paid medical, dental and vision for employees
  • Annual review with raise option
  • 22 days Paid Time Off accrued annually, and 4 holidays
    • After 3 years, PTO increases to 29 days. Employees transition to flexible time off after 5 years with the company-not accrued, not capped, take time off when you want
    • The 4 holidays are: New Year's Day, Fourth of July, Thanksgiving, and Christmas Day
  • Paid Parental Leave
  • Up to 6% company matching 401(k) with no vesting period
  • Quarterly allowance
    • Use to make your remote work set up more comfortable, for continuing education classes, a plant for your desk, coffee for your coworker, a massage for yourself... really, whatever
  • Open concept office with friendly coworkers
  • Creative environment where you can make a difference
  • No dumb benefits like free dog walking on the weekends that snobby hipster places have to make you feel cool, but mathematically won't cost the company much money because you won't use it
  • Trail Mix Bar - oh yeah

Responsibilities
  • Focus on data infrastructure. Lead and build out data services/platforms from scratch (using OpenSource tech).
  • Creating and maintaining transparent, bulletproof ETL (extract, transform, and load) pipelines that cleans, transforms, and aggregates unorganized and messy data into databases or data sources.
  • Consume data from roughly 40 different sources
  • Collaborate closely with our Data Analysts to get them the data they need.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Improve existing data models while implementing new business capabilities and integration points.
  • Creating proactive monitoring so we learn about data breakages or inconsistencies right away.
  • Maintaining internal documentation of how the data is housed and transformed.
  • Improve existing data models, and design new ones to meet the needs of data consumers across Corporate Tools.
  • Stay current with latest cloud technologies, patterns, and methodologies; share knowledge by clearly articulating results and ideas to fellow engineers, data analysts, and stakeholders.

Requirements
  • Bachelor's (BA or BS) in computer science, or related field.
  • 2+ years in a full stack development role
  • 4+ years of experience working in a data engineer role, or related position.
  • 2+ years of experience standing up and maintaining a Redshift warehouse
  • 4+ years of experience with Postgres, specifically with RDS.
  • 4+ years of AWS experience, specifically S3, Glue, IAM, EC2, DDB, and other related data solutions.
  • Experience working with Redshift, DBT, Snowflake, Apache Airflow, Azure Data Warehouse, or other industry standard big data or ETL related technologies.
  • Experience working with both analytical and transactional databases.
  • Advanced working SQL (Preferably PostgreSQL) knowledge and experience working with relational databases.
  • Experience with Grafana or other monitoring/charting systems.
  • Proven knowledge of data platforms and tangible examples of designing and developing complex data pipelines to support better decision making in the business.
  • Experience hosting and operating data platforms in cost efficient manner.
  • Ability to translate business requirements into non-technical, lay terms.
  • Proven expertise with data architecture design and deployment, data modeling, and database development.

Apply