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

BI Engineer

Seattle, WA · On-site

$58 - $75.50/hr

BI Engineer Role Summary responsible for designing, developing, and maintaining scalable data models, pipelines, dashboards, and reporting solutions that enable data-driven decision-making across the ...

ClifyX is a company seeking a Power BI Developer to create reports and dashboards. The role ... data using agile methods. Responsibilities : • Creating Power BI Report • PLSQL Query tuning ...

BI Developer Location: Redmond, WA Job Type: Contract Roles and Responsibilities: * Develop ... Strong experience working with tabular cubes, ETLs, handling large amount of data. Experience with ...

... data. • Experience with Power BI - building reports and dashboards in Power BI using tabular ... developer • Prior experience working in Microsoft and/or Marketing. Please list your TOP 3 ...

Renton, WA : * 2+ years working experience with AWS data services (e.g. Redshift, RDS, Kinesis) * 3+ years working experience in BI development * 3+ years data modeling experience (e.g. E/R Studio ...

ClifyX is seeking a Power BI Developer for a modernization program in Costco. The role involves ... Responsibilities : • Minimum 8 years of total experience on Data warehousing projects with min 3 ...

AWS BI Developer Location: Renton, WA Duration: 1 + year Interview ... Phone and Skype - 2+ years working experience with AWS data services (e.g. Redshift, RDS, Kinesis ...

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 ...

They are seeking a Power BI Developer to design and develop dashboards and reports, ensuring data accuracy and translating complex processes into intuitive visualizations for stakeholders.

Data Engineer, Amazon Fuse

Seattle, WA · On-site

$130K - $156K/yr

You will work with Product Managers, Software Engineers, Finance and Marketing Managers, as well as fellow Data Engineers and BI Engineers to build new data pipelines and datasets that optimize for ...

Data Engineer, Amazon Fuse

Seattle, WA · On-site

$130K - $156K/yr

You will work with Product Managers, Software Engineers, Finance and Marketing Managers, as well as fellow Data Engineers and BI Engineers to build new data pipelines and datasets that optimize for ...

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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 30, 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 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.

BI Engineer

Seattle, WA • On-site

Apex 2000
IT Services • 1 - 10 employees

$58 - $75.50/hr

Other

Posted 10 days ago


Job description

Assuming you mean a Business Intelligence (BI) Engineer job description, here s a solid standard version you can adapt.

BI Engineer Job Description

Role Summary
responsible for designing, developing, and maintaining scalable data models, pipelines, dashboards, and reporting solutions that enable data-driven decision-making across the organization. The role partners closely with business stakeholders, data engineering, analytics, and technology teams to translate business requirements into reliable and actionable insights.

Key Responsibilities

Design and develop BI solutions, dashboards, reports, and analytical data products.
Build and maintain dimensional data models, semantic layers, and reporting datasets.
Develop and optimize SQL queries, ETL/ELT pipelines, and data transformations.
Integrate data from multiple enterprise systems and ensure consistency across reporting.
Partner with business stakeholders to define KPIs, metrics, and reporting requirements.
Develop dashboards using tools such as Power BI, Tableau, Looker, or similar platforms.
Establish data quality checks, validation processes, and monitoring.
Optimize BI solutions for performance, scalability, usability, and maintainability.
Implement appropriate data security, access controls, and governance standards.
Troubleshoot data discrepancies and perform root-cause analysis.
Maintain technical documentation, data dictionaries, and metric definitions.
Collaborate with Data Engineers, Data Scientists, Business Analysts, and Product teams.

Qualifications

Bachelor s degree in Computer Science, Information Systems, Engineering, Data Analytics, or related field.
3 7+ years of experience in BI, analytics engineering, data engineering, or related roles.
Advanced SQL skills and strong understanding of relational databases.
Experience with Power BI, Tableau, Looker, or comparable BI platforms.
Experience with ETL/ELT technologies and modern data platforms such as Snowflake, Databricks, BigQuery, Redshift,
Understanding of dimensional modeling, star schemas, data warehousing, and semantic modeling.
Experience with Python is preferred.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Strong analytical, problem-solving, communication, and stakeholder-management skills.