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

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Job Title: Data Engineer Job Location: Redmond WA Job Type: Contract * Design, develop, and ... Collaborate with business analysts and BI teams to support reporting needs, including DAX queries ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Cosmos SQL experience Azure Power BI * Knowledge of Azure Data Factory ADLS * Individuals with strong technical background in SQL SQL Server data engineering BI Kusto Data Analysis * and strong ...

Senior BI Consultant

Redmond, WA · Remote

$49.25 - $67.25/hr

With close to 300 engineers and consultants in 4 countries, ABCloudZ has expertise with modernizations to Azure, AWS, and GCP, BI, Advanced Analytics, AI, Big Data, IoT, Application Development ...

Sr. BI Engineer, AWS Regions Finance

Seattle, WA · On-site

$118K - $163K/yr

We are looking for someone who's an expert with SQL, ETL and, more generally, data wrangling. A track record of moving fast to adopt GenAI tools with a passion and proven ability to teach others are ...

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 ...

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 ...

Senior BI Consultant

Redmond, WA · Remote

$49.25 - $67.25/hr

With close to 300 engineers and consultants in 4 countries, ABCloudZ has expertise with modernizations to Azure, AWS, and GCP, BI, Advanced Analytics, AI, Big Data, IoT, Application Development ...

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

Senior Data Engineer Location: Remote JD: Key Responsibilities * Design and implement ETL pipelines ... Enable interactive data consumption via Power BI, Azure OpenAI, and other analytics tools. * Ensure ...

Associate Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... BI standards. • Implement unit tests, data quality checks, and reconciliation for assigned work ... Engineering, Information Management, or equivalent experience in field plus 1+ years of related ...

Sr. BI Engineer, AWS Regions Finance

Seattle, WA · On-site

$118K - $163K/yr

We are looking for someone who's an expert with SQL, ETL and, more generally, data wrangling A track record of moving fast to adopt GenAI tools with a passion and proven ability to teach others are ...

We are looking for someone who's an expert with SQL, ETL and, more generally, data wrangling A track record of moving fast to adopt GenAI tools with a passion and proven ability to teach others are ...

Showing results 41-60

Data Bi Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do data bi engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data bi engineer in Seattle, WA is $147,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 per year, depending on experience, location, and employer.

What is a Data BI engineer?

Data BI (Business Intelligence) Engineers are professionals who design, build, and maintain systems that transform raw data into meaningful business insights. They develop data pipelines, integrate various data sources, and create reports or dashboards to support decision-making processes. Their work ensures that companies have accurate, timely, and actionable information to drive strategy and operations. Data BI Engineers typically work closely with data analysts, data scientists, and business stakeholders.

What are the key skills and qualifications needed to thrive as a Data BI engineer?

To thrive as a Data BI Engineer, you need strong skills in data modeling, SQL, ETL processes, and a background in computer science or a related field. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as experience with data warehouses and cloud platforms like AWS or Azure, is typically required. Critical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities are essential for building reliable data solutions that empower organizations to make informed, data-driven decisions.

How does a Data BI engineer typically collaborate with business stakeholders and data analysts?

A Data BI Engineer frequently works with business stakeholders and data analysts to understand data requirements, translate business needs into technical specifications, and ensure data solutions align with organizational goals. This role often involves participating in meetings to gather requirements, sharing progress updates, and iterating on dashboards or data pipelines based on feedback. Effective communication is key, as Data BI Engineers must bridge the gap between technical data structures and actionable business insights. Regular collaboration helps ensure that the data solutions provided are both technically sound and valuable for decision-making.

What is the difference between Data Bi Engineer vs Data Analyst?

AspectData Bi EngineerData Analyst
Primary FocusBuilding data pipelines, data warehousing, and integrating data systemsAnalyzing data to generate reports and insights
Skills & ToolsSQL, ETL processes, data modeling, cloud platformsExcel, SQL, visualization tools like Tableau or Power BI
Work EnvironmentData engineering teams, IT departments, cloud environmentsBusiness units, analytics teams, management
CredentialsData engineering certifications, SQL, cloud certificationsData analysis certifications, SQL, visualization skills

While both roles work with data, Data Bi Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right responsibilities and professionals for their data needs.

What are popular job titles related to Data Bi Engineer jobs in Seattle, WA?

For Data Bi Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Data Bi Engineer jobs in Seattle, WA look for?

The top searched job categories for Data Bi Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Data Bi Engineer jobs?

Cities near Seattle, WA with the most Data Bi Engineer job openings:

Infographic showing various Data Bi Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $147,621 per year, or $71 per hour.

Data Engineer

Staffingine LLC

Redmond, WA • On-site

$128K - $154K/yr

Contractor

Re-posted 26 days ago


Job description

Job Title: Data Engineer 
Job Location: Redmond WA  
Job Type: Contract 

Job Description:  

  • Design, develop, and maintain scalable data pipelines using Azure Data Factory, PySpark, and Databricks. 

  • Work with large-scale data lake and data warehouse solutions using Azure Synapse Analytics and Microsoft Fabric. 

  • Develop and optimize SQL queries, stored procedures, and ETL workflows for performance and reliability. 

  • Integrate data from multiple sources and ensure data quality, consistency, and accuracy across systems. 

  • Collaborate with business analysts and BI teams to support reporting needs, including DAX queries, tabular models, and data cubes in Power BI or Analysis Services. 

  • Contribute to architecture discussions and recommend best practices for data management, governance, and security. 

  • Troubleshoot data issues and optimize performance across data layers. 

Required Skills & Experience: 

  • 6+ years of experience in Data Engineering or related roles. 

  • Strong proficiency in SQL (complex queries, tuning, and optimization). 

  • Hands-on experience with PySpark for data transformation and processing. 

  • Proven experience with Azure Data Factory, Azure Data Lake, Azure Databricks, Synapse Analytics, and Microsoft Fabric. 

  • Experience building data models, tabular models, and writing DAX queries. 

  • Solid understanding of ETL/ELT design, data warehousing concepts, and modern data architecture. 

  • Strong analytical and problem-solving skills with attention to detail. 

  • Excellent communication and collaboration skills. 

  • Must be local to Washington State and available to work in a hybrid environment. 

Preferred Qualifications: 

  • Experience with Power BI or Azure Analysis Services. 

  • Familiarity with CI/CD pipelines and version control (Git). 

  • Exposure to DataOps or MLOps practices is a plus. 

  • Azure Data Engineer or related Microsoft certification preferred.