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Amazon Bi Engineer Jobs (NOW HIRING)

Amazon

Sr. BI Engineer, AWS Regions Finance

Seattle, WA · On-site

$118K - $163K/yr

Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon ...

Amazon

Data Engineer II, Talent Development

Seattle, WA · On-site

$130K - $156K/yr

... with BI Engineers, Data Scientists, and Learning Scientists to build the right pipelines to answer key questions about how people learn and grow at Amazon. They will build efficient, flexible ...

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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 Sep 13, 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.

Does Amazon hire bioengineers?

Amazon does hire bioengineers for roles related to healthcare, biotechnology, and research initiatives. These positions often require expertise in biology, engineering, and data analysis, and may involve working with Amazon's healthcare or scientific divisions. Candidates typically need relevant education, experience, and familiarity with industry tools and regulations.
More about Amazon Bi Engineer jobs

What are popular job titles related to Amazon Bi Engineer jobs?

For Amazon Bi Engineer jobs, the most frequently searched job titles are:

Amazon Bi Engineer jobs near you
Infographic showing various Amazon Bi Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

Power BI Developer & Analytics Engineer

Atlanta, GA • On-site

Avcend
Analytics and Business Intelligence Systems • 51 - 200 employees
Learn more about Avcendexternal

Contractor

Re-posted 6 days ago

Job description

Key Responsibilities and Technical Contributions:

The candidate will play a critical role in supporting business insights, reporting modernization efforts, data engineering activities, and knowledge transfer for Freestyle analytics platforms.

Key responsibilities include:

• Designing, developing, and maintaining interactive Power BI dashboards and reports that communicate key business and operational metrics

• Building, optimizing, and supporting Power BI semantic models, measures, calculations, and row-level security (RLS)

• Leveraging DAX, Power Query (M), SQL, and data modeling techniques to create scalable and reusable analytical solutions

• Supporting data engineering activities, including data pipelines, ETL/ELT processes, data validation, troubleshooting, and migration efforts

• Partnering with business stakeholders to gather requirements, translate business needs into technical solutions, and deliver actionable insights

• Supporting ongoing reporting and analytics modernization initiatives, including Redshift and Microsoft Fabric-related activities

• Assisting with production support, root cause analysis, data reconciliation, and issue resolution across reporting and analytical platforms

• Creating and maintaining documentation for dashboards, data models, pipelines, business logic, and operational processes

• Participating in knowledge transfer activities to ensure continuity of critical reporting, analytics, and data engineering capabilities

Top Required Skills and Competencies:

• Strong Power BI experience, including dashboard development, data modeling, DAX, Power Query (M), semantic models, and report optimization

• Experience implementing and supporting Row-Level Security (RLS)

• Strong SQL skills, including querying, data validation, troubleshooting, and performance optimization

• Experience working with enterprise data platforms such as Amazon Redshift, Microsoft Fabric, Azure SQL, Azure Data Factory, Synapse, Databricks, or similar technologies

• Understanding of analytics engineering, data warehousing, and ETL/ELT concepts

• Experience troubleshooting data quality issues and supporting production reporting environments

• Familiarity with Artificial Intelligence (AI), predictive analytics, and how modern analytics platforms support AI use cases

 

Preferred Skills:

• Microsoft Fabric experience including Lakehouse, Warehouse, Semantic Models, and Data Factory components

• Experience supporting connected equipment, IoT, telemetry, operational, or high-volume event data

• Experience with Python, Spark, or automation scripting

• Experience supporting data migrations and platform modernization initiatives