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Software Engineering Manager Jobs in Bothell, WA

Apple

Software Engineering Manager - Games

Seattle, WA

$225K - $338K/yr

Apple Games is seeking a dynamic engineering manager to lead the Game Center team, driving the next generation of social and connected gaming experiences across Apple platforms. This role oversees ...

Unity Enterprise

Manager, Software Engineering

Seattle, WA · On-site

$150 - $200/hr

We are looking for a Software Engineering Manager to lead a new team delivering Unity platform support for a key platform partner bringing games to TV and mobile form factors. To reach every screen ...

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All JobsSoftware Engineering JobsSoftware Engineering Manager JobsSoftware Engineering Manager Jobs in Bothell, WA

Software Engineering Manager information

See Bothell, WA salary details

$113.1K

$192.5K

$227.9K

How much do software engineering manager jobs pay per year?

As of Sep 9, 2026, the average yearly pay for software engineering manager in Bothell, WA is $192,543.00, according to ZipRecruiter salary data. Most workers in this role earn between $196,700.00 and $196,700.00 per year, depending on experience, location, and employer.

What does a software engineering manager do?

A software engineering manager oversees a team of people who are working on the development of new computer software or the enhancement of existing computer programs. Because this is a management job, your duties may include coordinating and planning with other departments within the company and with company executives. In addition to management skills, you need a firm understanding of the technical aspects of software engineering. Another aspect of this career involves understanding the market and competitor’s products so that your software can compete and meet market demands.

What does a software engineering manager do?

A Software Engineering Manager oversees a team of software engineers, guiding the development of software projects from planning to implementation. They are responsible for managing the team's workflow, ensuring high-quality code, and meeting project deadlines. In addition to technical leadership, they also handle hiring, mentoring, and performance reviews. Their role bridges the gap between technical execution and business objectives, ensuring that software solutions align with strategic goals.

What are the key skills and qualifications needed to thrive as a software engineering manager, and why are they important?

To thrive as a Software Engineering Manager, you need a solid background in software development, team leadership, and project management, often backed by a degree in computer science or a related field. Familiarity with development tools, agile methodologies, version control systems, and, in some cases, certifications like PMP or Scrum Master are valuable. Exceptional communication, problem-solving, and mentoring skills distinguish top performers in this role. These competencies are crucial for successfully guiding technical teams, delivering projects efficiently, and fostering a collaborative and innovative engineering culture.

What are some common challenges faced by software engineering managers when leading diverse development teams?

Software Engineering Managers often encounter challenges such as balancing technical leadership with people management, aligning team members with different backgrounds and skill sets, and ensuring effective communication across remote or cross-functional teams. Navigating these challenges involves fostering an inclusive environment, setting clear expectations, and adapting management styles to individual team members’ needs. Successful managers also prioritize regular check-ins and feedback to keep projects on track and support professional growth within the team.

What is the difference between Software Engineering Manager vs Software Developer?

AspectSoftware Engineering ManagerSoftware Developer
CredentialsBachelor's or Master's in CS or related field, often with leadership experienceBachelor's or higher in CS or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersFocuses on coding, debugging, and implementing features
Employer & Industry UsageUsed across tech companies, startups, and large enterprisesCommon in all software development settings
Search & Comparison IntentUnderstanding managerial roles, leadership responsibilitiesFocus on technical skills, coding tasks

The main difference between a Software Engineering Manager and a Software Developer lies in their roles and responsibilities. Managers oversee teams, coordinate projects, and handle strategic planning, while developers focus on coding and technical implementation. Both roles are essential in the software development lifecycle, but they serve different functions within an organization.

More about Software Engineering Manager jobs

What are the most commonly searched types of Software Engineering jobs in Bothell, WA?

The most popular types of Software Engineering jobs in Bothell, WA are:

What are popular job titles related to Software Engineering Manager jobs in Bothell, WA?

For Software Engineering Manager jobs in Bothell, WA, the most frequently searched job titles are:

What job categories do people searching Software Engineering Manager jobs in Bothell, WA look for?

The top searched job categories for Software Engineering Manager jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Software Engineering Manager jobs?

Cities near Bothell, WA with the most Software Engineering Manager job openings:

Software Engineering Manager jobs near you
Infographic showing various Software Engineering Manager job openings in Bothell, WA as of September 2026, with employment types broken down into 83% Full Time, 10% Part Time, and 7% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $192,543 per year, or $92.6 per hour.

Software Engineering Manager (Data Engineering)

Seattle, WA • On-site

McKinstry
Construction • 1 - 5K employees
Learn more about McKinstryexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago

McKinstry rating

9.7

Company rating: 9.7 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

Job description

Build the future, spark innovation and align your career with purpose.
McKinstry is innovating the waste and climate harm out of the built environment and creating lasting impact. Together, we're building a thriving planet.
Buildings are a leading contributor to the climate crisis, generating nearly 40% of total global energy-related carbon emissions. We're making a lasting impact on our industry and within our communities by addressing the climate, affordability and equity crises through:
  • renewables and energy services
  • engineering and design
  • construction and facility services

To get where we're going, we need big thinkers, problem solvers and collaborative mindsets. Does that sound like you?
The Opportunity with McKinstry
McKinstry is building a modern, scalable data platform to power analytics, reporting, and AI-driven decision-making-and we're looking for a Software Engineering Manager (Data Engineering) to lead the team at the center of that transformation.
In this role, you'll manage and develop a team of data engineers building and operating McKinstry's Azure Data Lakehouse. You'll guide the evolution from Azure Synapse Analytics to Microsoft Fabric, shaping the architecture and engineering practices that underpin enterprise-wide data access, governance, and insight. Your team's work will directly enable Power BI reporting, advanced analytics, and emerging AI capabilities across the organization.
This is a high-impact opportunity for a strong people leader who is also deeply technical in modern data platforms. Success requires proven management experience-coaching, mentoring, and growing engineers-combined with hands-on technical leadership in data engineering, data modeling, and cloud-based data services. You'll set the technical direction for McKinstry's data platform, drive governance and quality standards, and collaborate across analytics, application, and business teams.
This role is based in Seattle, WA and operates on a hybrid work schedule.
What You'll Be Doing
Technical Contribution
  • In collaboration with Business Technology leadership, lead the design, development, and operation of McKinstry's Azure Data Lakehouse, including data ingestion, transformation, storage, and serving layers.
  • Provide insights to guide the platform migration from Azure Synapse Analytics to Microsoft Fabric, ensuring continuity, performance, and scalability throughout the transition.
  • Oversee the development of robust ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, and Fabric Dataflows to move and transform data across the enterprise.
  • Ensure data models follow established patterns such as medallion architecture (bronze/silver/gold) and dimensional modeling (star schema) to support analytics and reporting.
  • Partner with Business Tech Analytics management and Power BI developers and analysts to ensure the data platform delivers reliable, performant semantic models and datasets for enterprise reporting.
  • Ensure solutions are designed with scalability, performance, security, and reliability in mind-particularly where data enables advanced analytics and AI initiatives.
  • Participate in Agile ceremonies, backlog grooming, sprint planning, and cross-functional coordination activities.

Technical Leadership
  • Act as a data platform subject matter expert within McKinstry's technology organization, providing technical guidance on Azure data services and architecture.
  • Define and guide data engineering standards, patterns, and best practices across the Lakehouse platform, including data pipeline design, data quality frameworks, and testing strategies.
  • Lead the adoption of Microsoft Purview for data governance, cataloging, lineage tracking, and compliance across the enterprise data estate.
  • Consult with Business Technology as they drive Master Data Management (MDM) strategy and implementation, ensuring consistent, trusted data entities across systems and platforms.
  • Evaluate and guide the use of Azure data services including Azure Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, and Azure Databricks where appropriate.
  • Partner closely with leadership to inform decisions related to people, tools, processes, and the data platform roadmap.
  • Establish and track metrics that ensure data platform stability, data quality, pipeline reliability, and business value.

People Management
  • Lead and mentor a team of data engineers focused on building and maintaining McKinstry's enterprise data platform.
  • Provide day-to-day technical direction, coaching, and feedback to team members working across data engineering, pipeline development, and data governance.
  • Foster a culture of continuous learning, encouraging skill development in Azure data services, Fabric, Purview, Power BI, and modern data engineering practices.
  • Communicate a clear data platform vision and technical strategy across IT, analytics, and business stakeholders.

Other duties as assigned.
What You Need to Succeed at McKinstry
  • Bachelor's degree in Information Technology, Computer Science, Data Science, or a related field, or equivalent work experience.
  • At least 8 years of experience with increasing responsibility in information technology and data systems, including 5 years in data engineering, data platform development, or applications management.
  • Proven experience managing and leading software or data engineering teams with a strong focus on cloud-based data platforms.
  • Deep experience with Azure data services, including Azure Synapse Analytics, Azure Data Factory, and Azure Data Lake Storage; experience with Microsoft Fabric is strongly preferred.
  • Strong understanding of data modeling concepts, including star schema, medallion architecture, and semantic modeling for analytics.
  • Experience with ETL/ELT pipeline development and data transformation at enterprise scale.
  • Familiarity with Microsoft Purview for data governance, cataloging, and lineage tracking.
  • Experience with or exposure to Master Data Management (MDM) concepts and tooling.
  • Working knowledge of Power BI, including how data engineering supports semantic models, datasets, and enterprise reporting.
  • Experience with Azure Databricks, Delta Lake, or Spark-based processing is a plus.
  • Experience working in Agile development environments.
  • Strong organizational, prioritization, and communication skills.
  • Ability to influence across teams and drive alignment on data standards and architecture decisions.
  • Experience with Azure DevOps and Microsoft SQL Server preferred.
  • Exposure to machine learning, AI-enabled systems, or advanced analytics preferred.
  • On-call availability 24 hours, 7 days a week.
  • Ability and willingness to travel regionally.
  • Provide personal transportation for meetings and job visits away from the office; reimbursed.

PeopleFirst Benefits
When it comes to the basics, we have you covered:
  • Competitive pay
  • 401(k) with employer match and profit-sharing plan
  • Paid time off and holidays
  • Comprehensive medical, prescription, dental, and vision with low or zero deductible options and low out of pocket maximums

People come first at McKinstry, and we go beyond the basic benefits with:
  • Family formation benefits, including adoption and IVF assistance
  • Up to 16 weeks paid parental leave
  • Transgender inclusive benefits
  • Commuter benefits
  • Pet insurance
  • "Building Good" paid community service time
  • Learning and advancement opportunities via McKinstry University
  • McKinstry Moves onsite gyms or reimbursement for remote workers

See benefit plan documents for complete details.
If you're driven by our vision to build a thriving planet together, McKinstry is the place to build your career.
The pay range for this position is $110,790 - $190,700 per year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A bonus may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. Base pay information is based on market location. A bonus may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered.
The McKinstry group of companies are equal opportunity employers. We are committed to providing equal employment opportunities to all employees and qualified applicants without regard to sex, gender identity, sexual orientation, age, race, color, creed, marital status, national origin, disability, veteran status, genetic information or any other basis protected by law. This policy applies to all terms and conditions of employment including, but not limited to employment, advancement, assignment, and training. This commitment to Equal Employment Opportunity is made equally as a social responsibility and as an economic and business necessity.
McKinstry is a drug-free workplace. Employment iscontingent upon successfully passing a pre-employment drug and alcohol test, complying with the requirements of the Immigration Reform and Control Act and a Confidentiality Agreement, in addition to successful outcomes of background and reference checks.
Applicants for this role will only be considered if they possess current US Work Authorization, and do not require employer-sponsored VISA support to begin or remain in this role.
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