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Amazon Bi Engineer Jobs (NOW HIRING)

TriOptus LLC

BI Engineer - AWS / Quick Sight

Redmond, WA · On-site

$58 - $75.25/hr

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 ...

Turing IT Labs

BI Engineer with QuickSight

Overland Park, KS

$48.25 - $62.75/hr

Business Intelligence & AI Automation Engineer Amazon Quick Suite / AWS Analytics Role Overview We are seeking a skilled Business Intelligence (BI) and AI Automation Engineer with strong expertise in ...

Prophecy Technologies

Power BI

Chicago, IL · On-site

Expertise in Power BI Dashboards and building Analysis Services reporting models * Proficient in ... Amazon Redshift * A good team player to lead and guide the team of developers * Excellent ...

NYSTEC

Business Intelligence Developer

Albany, NY

As a business intelligence (BI) developer in the Business Intelligence department, you will ... Similar experience in Google, Amazon Web Services (AWS), or Microsoft Azure Cloud is qualified.

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Amazon Bi Engineer information

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$39K

$101.8K

$137.5K

How much do amazon bi engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for amazon bi engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

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

AspectAmazon Bi EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, ETL, BI toolsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, data visualization
Work EnvironmentTech-focused, collaborative teams within Amazon's data infrastructureBusiness units, reporting teams, or analytics departments
Employer & Industry UsageAmazon, e-commerce, cloud servicesVarious industries including retail, finance, healthcare
Common Search & ComparisonOften compared for data infrastructure rolesCompared for data interpretation and reporting roles

Amazon Bi Engineers focus on designing and maintaining data pipelines and BI systems to support analytics, while Data Analysts interpret data and generate reports. Both roles require SQL skills and work within data-driven environments, but Bi Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on insights and visualization.

More about Amazon Bi Engineer jobs
What job categories do people searching Amazon Bi Engineer jobs look for? The top searched job categories for Amazon Bi Engineer jobs are:
Amazon Bi Engineer jobs near you
Infographic showing various Amazon Bi Engineer job openings in the United States as of May 2026, with employment types broken down into 40% Full Time, 35% Part Time, and 25% Contract. Highlights an 86% Physical, 9% Hybrid, and 5% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.
BI Engineer - AWS / Quick Sight

BI Engineer - AWS / Quick Sight

TriOptus LLC

Redmond, WA • On-site

$58 - $75.25/hr

Full-time

Posted 19 days ago

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

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