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

BI Engineer - AWS / Quick Sight

Redmond, WA ยท On-site

$58 - $75.25/hr

This role will be responsible for delivering data-driven insights across multiple enterprise ... Required Qualifications * 5+ years of experience in BI Engineering, Data Analytics, or Data ...

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. โ€ข Experience with Power BI - building reports and dashboards in Power BI using tabular ... developer โ€ข 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 ...

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

$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

$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 11, 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 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.

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 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.
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:
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 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $147,621 per year, or $71 per hour.

BI Engineer - AWS / Quick Sight

TriOptus LLC

Redmond, WA โ€ข On-site

$58 - $75.25/hr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Description:
Role Overview
  • Accenture is seeking a highly skilled Business Intelligence (BI) Engineer to support Amazon's Project Kuiper initiative. This role will be responsible for delivering data-driven insights across multiple enterprise systems to support program execution, risk visibility, and operational performance.
  • The ideal candidate will operate independently in a complex AWS environment, proactively identify and extract data from multiple systems (AWS databases, Jira, Testrail, and other internal platforms), and build scalable reporting solutions using Amazon QuickSight.
  • This role requires strong AWS data querying expertise, advanced BI capabilities, and the ability to work closely with Amazon program and engineering stakeholders.

Key Responsibilities
  • Independently identify, source, and integrate data from multiple enterprise systems including AWS databases, Jira, Testrail, and other operational tools.
  • Query AWS data platforms (e.g., Redshift, Athena, RDS, S3-backed datasets) to extract accurate data for reporting.
  • Design and develop robust dashboards and visualizations using Amazon QuickSight to support Kuiper program tracking.
  • Build reporting frameworks to provide visibility into program performance, risk metrics, operational KPIs, and delivery timelines.
  • Partner with Amazon program managers, engineering teams, and business stakeholders to gather reporting requirements and translate them into actionable BI solutions.
  • Ensure data accuracy, reconciliation, and governance across reporting outputs.
  • Support executive-level reporting, program reviews, and risk communication efforts.
  • Proactively identify data gaps, inconsistencies, or process inefficiencies and recommend improvements.

Required Qualifications
  • 5+ years of experience in BI Engineering, Data Analytics, or Data Engineering roles.
  • Strong hands-on experience querying AWS data platforms (Redshift, Athena, RDS, etc.).
  • Proven experience building production dashboards in Amazon QuickSight.
  • Advanced SQL skills and ability to work with large, complex datasets.
  • Experience integrating data from systems such as Jira, Testrail, and other program management tools.
  • Strong understanding of data modeling, ETL logic, and data validation processes.
  • Excellent stakeholder management and communication skills.
  • Experience supporting program management, risk management, and executive reporting in large enterprise environments.

Preferred Experience
  • Prior experience supporting Amazon or large-scale technology programs.
  • Experience working within Accenture delivery models or consulting environments.
  • Familiarity with Agile/Scrum frameworks.
  • Exposure to aerospace, satellite, or hardware-driven programs (Kuiper context preferred but not required).

Key Skills
  • AWS Data Querying & Integration
  • Amazon QuickSight
  • SQL (Advanced)
  • BI Dashboard Development
  • Data Visualization
  • Stakeholder & Program Reporting
  • Risk & KPI Tracking
  • Multi-System Data Integration