ZipRecruiter

Log In

1

Power Bi Data Engineer Jobs in Seattle, WA (NOW HIRING)

1 point system

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Hands-on expertise with Power BI, Data Modeling, and DAX. * Experience with Grafana or similar ... Strong programming skills in Python, C#, and PowerShell. * Experience with AI-assisted engineering ...

1 point system

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Hands-on expertise with Power BI, Data Modeling, and DAX. * Experience with Grafana or similar ... Strong programming skills in Python, C#, and PowerShell. * Experience with AI-assisted engineering ...

Costco

BI Engineer - Data Analytics

Issaquah, WA · On-site

$58.75 - $76.50/hr

BI Engineers identify ways to improve data reliability, efficiency, and quality of data management ... Microsoft Power BI, Power Apps, Power Automate, Microsoft Power Platforms, IBM Cognos, Tableau ...

Costco IT

BI Engineer - Data Analytics

Issaquah, WA

$58.75 - $76.50/hr

BI Engineers identify ways to improve data reliability, efficiency, and quality of data management ... Microsoft Power BI, Power Apps, Power Automate, Microsoft Power Platforms, IBM Cognos, Tableau ...

Costco IT

BI Engineer - Data Analytics

Issaquah, WA

$58.75 - $76.50/hr

BI Engineers identify ways to improve data reliability, efficiency, and quality of data management ... Microsoft Power BI, Power Apps, Power Automate, Microsoft Power Platforms, IBM Cognos, Tableau ...

Staffingine LLC

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Job Title: Data Engineer Job Location: Redmond WA Job Type: Contract * Design, develop, and ... Power BI or Analysis Services. * Contribute to architecture discussions and recommend best ...

Shannon & Wilson Inc

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data platform (Microsoft Fabric, Azure SQL, Power BI, etc.). This role will be instrumental in ensuring that our ...

Shannon & Wilson Inc

Data Engineer

Seattle, WA

$90K - $120K/yr

We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data platform (Microsoft Fabric, Azure SQL, Power BI, etc.). This role will be instrumental in ensuring that our ...

CyberProof

Associate Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... Power BI visualizations and reports following the design specifications and the team's BI standards ... data engineering or software engineering experience, including internships and academic project ...

Noblesoft Technologies

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

Senior Data Engineer Location: Remote JD: Key Responsibilities • Design and implement ETL ... via Power BI, Azure OpenAI, and other analytics tools. • Ensure data quality, lineage, and ...

krg technology inc

Power BI Developer

Redmond, WA

Power BI Developer Location: Redmond WA Duration: Full Time 1. At least 5-7 years of experience in ... data. 5. Excellent communication skills 6. Self-motivated , self-taught and agile Additional ...

Shannon & Wilson, Inc.

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data platform (Microsoft Fabric, Azure SQL, Power BI, etc.). This role will be instrumental in ensuring that our ...

INSPYR Solutions

Data Engineering Manager

Seattle, WA · On-site

$150K - $160K/yr

Data Engineering & Analytics Manager Location: Seattle, WA - 3 days onsite Duration: Direct Hire ... Promote best practices across Azure services, Microsoft Fabric, Power BI, data governance, and ...

next page

Showing results 1-20

All JobsPower Bi Data Engineer JobsPower Bi Data Engineer Jobs in Seattle, WA

Power Bi Data Engineer information

See Seattle, WA salary details

$98.4K

$144K

$182.7K

How much do power bi data engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for power bi data engineer in Seattle, WA is $143,960.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,200.00 and $155,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Power BI Data Engineer, and why are they important?

To thrive as a Power BI Data Engineer, you need expertise in data modeling, ETL processes, SQL, and a strong understanding of business intelligence concepts, typically backed by a degree in computer science or a related field. Proficiency in Power BI, DAX, Power Query, and experience with cloud platforms like Azure are crucial, and certifications such as Microsoft Certified: Data Analyst Associate can be advantageous. Strong analytical thinking, problem-solving, and effective communication help in translating business requirements into actionable data insights. These skills ensure the delivery of accurate, impactful dashboards and reports that drive informed decision-making within organizations.

What is a Power BI Data Engineer?

A Power BI Data Engineer is a professional who specializes in designing, building, and managing data solutions using Microsoft Power BI and related technologies. Their primary responsibilities include data modeling, transforming raw data into insightful reports and dashboards, and ensuring data quality and security. They work closely with business analysts and stakeholders to understand data requirements and deliver actionable business intelligence. Power BI Data Engineers often utilize various data sources, integrate them with Power BI, and optimize performance for reporting and analytics.

What is the difference between Power Bi Data Engineer vs Power BI Developer?

AspectPower Bi Data EngineerPower BI Developer
Primary FocusBuilding data pipelines, data architecture, and integrating data sourcesCreating reports, dashboards, and visualizations for end-users
Skills & CertificationsData modeling, ETL processes, SQL, Azure Data servicesPower BI, DAX, data visualization, report design
Work EnvironmentData warehouses, backend data systems, cloud platformsBusiness units, end-user reporting, front-end visualization
Common UsageData engineering teams, BI infrastructure setupBusiness analysts, report creators, end-user support

While both roles work with Power BI, the Power Bi Data Engineer primarily focuses on data infrastructure, pipelines, and integration, whereas the Power BI Developer concentrates on designing and developing reports and dashboards for business insights.

How do Power BI Data Engineers typically collaborate with business analysts and stakeholders during a project?

Power BI Data Engineers work closely with business analysts and stakeholders to understand reporting needs, translate requirements into technical solutions, and ensure data models support actionable insights. They often participate in requirement-gathering sessions, clarify data sources, and provide expertise on data integration and visualization best practices. Regular communication and feedback loops are essential to ensure the final dashboards and reports meet business objectives and remain scalable for future enhancements.
What are popular job titles related to Power Bi Data Engineer jobs in Seattle, WA? For Power Bi Data Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Power Bi Data Engineer jobs in Seattle, WA look for? The top searched job categories for Power Bi Data Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Power Bi Data Engineer jobs? Cities near Seattle, WA with the most Power Bi Data Engineer job openings:
Power Bi Data Engineer jobs near you
Infographic showing various Power Bi Data Engineer job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $143,960 per year, or $69.2 per hour.

AI Data Engineer

1 point system

Redmond, WA • On-site

$128K - $154K/yr

Contractor

Re-posted 27 days ago

Job description

Requirement - AI Data Engineer

Location- Redmond WA 98052-Hybrid

Contract W2

Top 3 Must-Have Hard Skills

 

1. Reporting & Analytics – 5+ Years

  • Minimum 5 years of experience designing and developing reporting and analytics solutions.
  • Hands-on expertise with Power BI, Data Modeling, and DAX.
  • Experience with Grafana or similar reporting/dashboard platforms.
  • Ability to develop and maintain HTML/web-based reports.

2. Automation, AI & Agentic Solutions – 3+ Years

  • Minimum 3 years of experience in automation and AI-driven engineering solutions.
  • Strong programming skills in Python, C#, and PowerShell.
  • Experience with AI-assisted engineering tools, Copilot/Agentic platforms, and automated report generation.

3. Data Engineering – 5+ Years

  • Minimum 5 years of experience in data engineering and data integration.
  • Strong proficiency in SQL, ETL processes, and data pipeline development.

Typical Day in the Role

  • Purpose of the Team: The purpose of this team is to provide telemetry reporting, analytics, automation, and AI-driven insights that improve visibility into service health, availability, and operational performance through dashboards, reporting solutions, and data engineering capabilities.
  • Key projects: This role will contribute to telemetry and service health initiatives by developing reporting, analytics, and automation solutions. Responsibilities include building Power BI reports and Grafana dashboards, creating Kusto-based analytics, supporting telemetry monitoring, and improving data-driven insights related to availability and operational health.

Candidate Requirements

  • Disqualifiers: Candidates with limited or no experience in reporting and analytics, automation, AI-assisted solutions, data engineering, Power BI, Grafana, or Kusto-based data analysis will not be eligible for the role.
  • Best vs. Average: The ideal resume will contain hands-on experience with telemetry and analytics platforms, including Power BI, Grafana, SQL/Kusto, Python, PowerShell, or C#, along with expertise in data engineering, ETL/data pipelines, automation, and AI-assisted reporting solutions. Experience supporting telemetry health, availability monitoring, operational dashboards, and enterprise-scale reporting environments is highly preferred.

Description

The main function of an AI Data Engineer is to design, develop, enhance, validate, maintain, and support telemetry reporting, data solutions, automation, and AI-assisted solutions. The role develops reports, dashboards, data models, automation, reporting & analytics agent components, and supporting data solutions to improve telemetry coverage, telemetry availability, clean telemetry, and telemetry data quality.

 

Job Responsibilities

  • Design, develop, and maintain telemetry reporting, data solutions, automation, and AI-assisted solutions.
  • Design, develop, and enhance Power BI reports, Grafana dashboards, semantic models, and analytics solutions to deliver actionable business insights.
  • Develop and optimize Azure Data Explorer (Kusto/ADX) queries, functions, data models, scheduled tables, materialized tables, snapshot tables, and supporting datasets.
  • Integrate enterprise data sources and develop supporting SQL queries, ETL processes, and data pipelines required for analytics and reporting solutions.
  • Develop automation solutions using Python, PowerShell, C#, or similar scripting/programming languages to automate operational tasks and support business requirements.
  • Develop AI-enabled reporting and analytics agent components, including Copilot Agents, Agency CLI skills, prompt assets, and supporting knowledge files.
  • Validate data quality, business logic, report accuracy, dashboards, and scheduled refreshes to ensure reliable production solutions.
  • Monitor, troubleshoot, and resolve data pipeline, query, reporting, and production issues to maintain solution reliability and performance.
  • Create and maintain technical documentation, reusable components, and engineering best practices to support long-term solution maintainability.
  • Collaborate with cross-functional engineering teams to deliver scalable, high-quality analytics and reporting solutions.