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Climate Data Analytics Jobs in Seattle, WA (NOW HIRING)

Climate Pledge Arena

Risk and Safety Specialist

Seattle, WA · On-site

$34 - $38/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Climate Pledge Arena, located at Seattle Center, is the complete redevelopment of an historic ... Ability to analyze, interpret, summarize, and present safety data * Must be able to develop strong ...

Amazon

Data Engineer, AWS Sustainability Technology

Seattle, WA · On-site

$104K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

In 2019, Amazon co-founded The Climate Pledge and made a commitment to achieve net-zero carbon by ... analytics using ETL/ELT processes experience - 1+ years of developing and operating large-scale ...

McKinstry

Payroll Analyst

Seattle, WA

$72K - $119K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

McKinstry is innovating the waste and climate harm out of the built environment and creating ... analytics - where deep subject matter knowledge, data integrity, and continuous process improvement ...

McKinstry

Payroll Analyst

Seattle, WA · On-site

$72K - $119K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

McKinstry is innovating the waste and climate harm out of the built environment and creating ... analytics - where deep subject matter knowledge, data integrity, and continuous process improvement ...

BKF

Utility Planner - Pacific Northwest

Seattle, WA · On-site

  • Retirement

  • PTO

... about climate resilience, public infrastructure, and collaborative problem solving. Potential ... Conduct technical and policy research, data analysis, and infrastructure assessments * Assist with ...

BKF

Utility Planner - Pacific Northwest

Seattle, WA · On-site

$79K - $155K/yr

  • Retirement

  • PTO

... about climate resilience, public infrastructure, and collaborative problem solving. Potential ... Conduct technical and policy research, data analysis, and infrastructure assessments * Assist with ...

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Showing results 21-40

All JobsClimate Data Analytics JobsClimate Data Analytics Jobs in Seattle, WA

Climate Data Analytics information

What is climate data analytics?

Climate data analytics is the process of collecting, processing, and interpreting large volumes of climate and weather-related data to identify patterns, trends, and insights. Professionals in this field use statistical analysis, machine learning, and data visualization tools to study factors such as temperature changes, precipitation, extreme weather events, and greenhouse gas emissions. The insights gained help inform policy decisions, support climate change mitigation and adaptation strategies, and improve weather forecasting. This field is important for governments, businesses, and researchers aiming to understand and address the impacts of climate change.

What are the key skills and qualifications needed to thrive as a climate data analyst, and why are they important?

To thrive as a Climate Data Analyst, you need a solid background in environmental science, statistics, and data analysis, often supported by a relevant degree such as environmental science, meteorology, or data science. Familiarity with programming languages (like Python or R), GIS software, and climate modeling tools is typically required, along with experience in handling large datasets. Attention to detail, problem-solving abilities, and strong communication skills help analysts interpret complex data and convey findings to diverse audiences. These skills are crucial for generating accurate climate insights that inform policy, research, and sustainability initiatives.

What are the main challenges faced by professionals working in climate data analytics, and how can they be addressed?

Professionals in climate data analytics often encounter challenges such as working with large, complex datasets from diverse sources, ensuring data accuracy, and translating analytical findings into actionable insights for stakeholders. To address these challenges, it's important to develop strong programming skills, stay current with data processing tools, and maintain rigorous data validation protocols. Collaboration with climate scientists, policy experts, and IT professionals is also key to ensuring the analysis is both scientifically robust and relevant to decision-making.

What are popular job titles related to Climate Data Analytics jobs in Seattle, WA?

For Climate Data Analytics jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Climate Data Analytics jobs in Seattle, WA look for?

The top searched job categories for Climate Data Analytics jobs in Seattle, WA are:

Climate Data Analytics jobs near you
Infographic showing various Climate Data Analytics job openings in Seattle, WA as of August 2026, with employment types broken down into 62% Full Time, and 38% Part Time. Highlights an 75% In-person, and 25% Remote job distribution.

Software Engineering Manager (Data Engineering)

McKinstry Company

Seattle, WA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New

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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