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McKinstry

60 Mckinstry Data Jobs Hiring Near You

McKinstry

QA/QC Manager

Pasco, WA · On-site

$89K - $151K/yr

The Opportunity with McKinstry McKinstry is looking for a QA/QC Manager to join our Data Center Innovations group in Pasco, WA . The QA-QC Manager - Field Installation leads and standardizes quality ...

McKinstry

Manager, Enterprise Sustainability

Spokane, WA · On-site

$115K/yr

Build What Matters At McKinstry, we're on a mission To Build a Thriving Planet - and we're looking ... Experience engaging suppliers on emissions data, climate targets, or decarbonization initiatives.

McKinstry

Manager, Enterprise Sustainability

Golden, CO · On-site

$117K/yr

Build What Matters At McKinstry, we're on a mission To Build a Thriving Planet - and we're looking ... Experience engaging suppliers on emissions data, climate targets, or decarbonization initiatives.

McKinstry

QA/QC Manager

Pasco, WA · On-site

$89K - $151K/yr

The Opportunity with McKinstry McKinstry is looking for a QA/QC Manager to join our Data Center Innovations group in Pasco, WA . The QA-QC Manager - Field Installation leads and standardizes quality ...

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McKinstry Jobs Information

Do workers at McKinstry get paid breaks?

Yes. Most people get paid breaks.
85% of people say they get paid breaks.
Based on data from 13 people who took the Breakroom Quiz between December 2024 and July 2026.

Does McKinstry pay people when they’re sick?

Sometimes. Only some people get paid when they’re sick.
56% of people say they wouldn’t get paid if they were sick but scheduled to work.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and July 2026.

At McKinstry, are sick days and vacation days separate paid time off?

Only some people have separate paid time off for sick days and vacation.
67% of people say they have to use vacation days when they’re out sick.
Based on data from 6 people who took the Breakroom Quiz between June 2025 and March 2026.

Is the health insurance from McKinstry affordable enough for their workers?

Most people say the health insurance costs are okay.
100% of people say the health insurance costs are okay
Based on data from 12 people who took the Breakroom Quiz between April 2025 and July 2026.

Do people get paid time off at McKinstry?

Some people get paid time off from work.
46% of people say they don’t get paid time off.
Based on data from 13 people who took the Breakroom Quiz between June 2025 and July 2026.

Do workers at McKinstry worry about hours?

Most people don’t worry about getting enough hours.
89% of people report they don’t worry about getting enough hours.
Based on data from 9 people who took the Breakroom Quiz between December 2024 and August 2025.

Do McKinstry workers get to choose the shifts they work?

Some people don’t get to choose which shifts they work.
38% report that they don’t have enough control over which shifts they work.
Based on data from 8 people who took the Breakroom Quiz between December 2024 and August 2025.

How easy is it for McKinstry workers to change shifts?

Most people find it easy to change shifts.
80% of people report that it’s easy to change shifts if they need to.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and August 2025.

How easy is it to get time off at McKinstry?

Most people find it easy to get time off.
94% of people report it’s easy to get time off.
Based on data from 18 people who took the Breakroom Quiz between December 2024 and July 2026.

Do McKinstry managers change schedules at the last minute?

Most managers don’t change people’s schedules at the last minute.
89% of people say their manager doesn’t change their shift schedule at the last minute.
Based on data from 9 people who took the Breakroom Quiz between December 2024 and August 2025.

Do jobs at McKinstry spill into time workers aren’t paid for?

Rarely. The job doesn't usually spill into unpaid time.
0% of people report that their job takes up time that they don’t get paid for.
Based on data from 9 people who took the Breakroom Quiz between December 2024 and August 2025.

How easy is it to take sick days at McKinstry?

Most people find it easy to take sick days.
100% of people report that it’s easy to take time off if they are sick.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and July 2026.

Is working at McKinstry good if you’re a parent or caregiver?

Most parents and caregivers say this is a good place to work.
67% of people who care for a child or other relative report this is a good place to work.
Based on data from 6 people who took the Breakroom Quiz between December 2024 and July 2026.

Do people at McKinstry feel treated with respect by their managers?

Most people feel treated with respect by their managers.
94% of people say they’re treated with respect by their managers.
Based on data from 18 people who took the Breakroom Quiz between December 2024 and July 2026.

Do people at McKinstry get to take their breaks without interruption?

Most people get breaks without interruption.
88% of people report that they get to take their breaks without interruption.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and July 2026.

Is it stressful to work at McKinstry?

Some people feel stressed out here.
44% of people say they often feel stressed out at work.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and July 2026.

Do people at McKinstry enjoy their jobs?

Most people enjoy their job.
100% of people report they enjoy their job.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and July 2026.

Do people at McKinstry recommend working with their team?

Most people recommend working with their team.
79% of people report that they would recommend working with their immediate team to a friend.
Based on data from 19 people who took the Breakroom Quiz between December 2024 and July 2026.

Do people get enough training when they start at McKinstry?

Most people got enough training when they started.
78% of people report they got enough training when they started working here.
Based on data from 18 people who took the Breakroom Quiz between December 2024 and July 2026.

Do people get support to advance at McKinstry?

Most people are given support to advance their career here.
In the last year, 89% of people report being given support to advance their career here.
Based on data from 19 people who took the Breakroom Quiz between December 2024 and July 2026.

Do people think McKinstry’s headquarters understands what’s happening where they work?

Most people think headquarters understands what’s happening where they work.
71% of people think that this employer’s headquarters or owners have a good understanding of what’s really happening where they work.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and July 2026.

Do workers feel well informed about how McKinstry is doing?

Most people feel well informed about how the company is doing.
87% of people feel that they are kept well informed about how the company is doing as a whole.
Based on data from 15 people who took the Breakroom Quiz between December 2024 and July 2026.
What are the most popular job types at Mckinstry?
    What are the most popular jobs at Mckinstry?
    What are the most popular categories at Mckinstry?
    Infographic showing various Data job openings at Mckinstry in the United States as of July 2026, with employment types broken down into 1% Internship, 97% Full Time, 1% Part Time, and 1% Contract. Highlights an 98% Physical, and 2% Remote job distribution.
    Software Engineering Manager (Data Engineering)

    Software Engineering Manager (Data Engineering)

    McKinstry

    Seattle, WA • On-site

    Full-time

    Medical, Dental, Vision, Retirement, PTO

    Posted 27 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.
    #LI-NW1

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