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Amazon Bi Engineer Jobs (NOW HIRING)

E Logic

BI Developer

Washington, DC · On-site

E-logic is seeking a versatile BI Developer to translate complex compliance, contract evaluation ... Design, build, and automate interactive dashboards using IBM Cognos, Amazon QuickSight, and Power ...

Amazon

Data Engineer, Amazon Fuse

Seattle, WA · On-site

$130K - $156K/yr

Amazon Fuse ( helps third party subscription-based businesses better serve their customers by ... BI Engineers to build new data pipelines and datasets that optimize for business impact. We are ...

E Logic

BI Developer

Washington, DC · On-site

$85K/yr

E-logic is seeking a versatile BI Developer to translate complex compliance, contract evaluation ... Design, build, and automate interactive dashboards using IBM Cognos , Amazon QuickSight , and Power ...

Amazon

Data Engineer, Amazon Fuse

Seattle, WA · On-site

$130K - $156K/yr

Amazon Fuse ( helps third party subscription-based businesses better serve their customers by ... BI Engineers to build new data pipelines and datasets that optimize for business impact. We are ...

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All JobsTechnology JobsData JobsData Software Engineer JobsAmazon Bi Engineer Jobs

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.

Business Intelligence (BI) Engineer

Seattle, WA • On-site

Spruce Infotech
IT Services • 1 - 10 employees
Learn more about Spruce Infotechexternal

$58 - $75.50/hr

Other

Posted 17 days ago

Job description

We are seeking a highly skilled Business Intelligence (BI) Engineer with strong experience in Tableau, AWS cloud technologies, and data warehousing to design, develop, and maintain scalable analytics and reporting solutions. The ideal candidate will possess expertise in transforming complex datasets into actionable business insights, building interactive dashboards, and enabling data-driven decision-making across the organization.
Key Responsibilities
  • Design, develop, and maintain enterprise BI solutions using Tableau.
  • Create interactive dashboards, scorecards, and reports to support business stakeholders.
  • Develop and optimize data models, ETL/ELT processes, and reporting architectures.
  • Build and maintain data pipelines using AWS services.
  • Integrate data from multiple sources including databases, cloud platforms, APIs, and enterprise applications.
  • Collaborate with business users to gather requirements and translate them into analytical solutions.
  • Perform data validation and ensure data accuracy, integrity, and governance.
  • Monitor and optimize Tableau dashboard performance and underlying queries.
  • Support data warehouse design and implementation activities.
  • Document data flows, business rules, and reporting requirements.
  • Partner with cross-functional teams to identify opportunities for automation and analytics enhancements.

Required Qualifications
  • 5+ years of experience in Business Intelligence, Data Analytics, or Data Engineering.
  • Strong hands-on experience with Tableau Desktop and Tableau Server/Cloud.
  • Advanced SQL development and query optimization skills.
  • Experience developing BI solutions in AWS environments.
  • Strong understanding of data warehousing concepts, dimensional modeling, and ETL processes.
  • Experience working with large-scale datasets and complex reporting environments.

Required Technical Skills
Tableau
  • Tableau Desktop
  • Tableau Server / Tableau Cloud
  • Dashboard Development
  • Data Visualization Best Practices
  • LOD Expressions
  • Calculated Fields
  • Parameters & Actions
  • Performance Optimization

AWS
  • Amazon Redshift
  • AWS Glue
  • Amazon S3
  • Amazon Athena
  • AWS Lambda
  • Amazon RDS
  • IAM and Security Controls
  • CloudWatch

Data & Analytics
  • Advanced SQL
  • Data Modeling (Star/Snowflake Schema)
  • Data Warehousing
  • ETL/ELT Development
  • Data Quality Management
  • Business Reporting & Analytics

Preferred Skills
  • Python or PySpark development experience.
  • Experience with Power BI, QuickSight, or other visualization tools.
  • Knowledge of AWS Lakehouse/Data Lake architectures.
  • Experience with CI/CD and DevOps practices.
  • Familiarity with Agile/Scrum methodologies.
  • Tableau certification and/or AWS certification preferred.

Key Competencies
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management abilities.
  • Ability to translate business requirements into technical solutions.
  • Strong attention to detail and commitment to data quality.
  • Ability to work independently in a fast-paced environment.

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