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Amazon Business Intelligence Engineer Jobs (NOW HIRING)

Business Intelligence Engineer

Brea, CA · On-site

$100K - $125K/yr

Business Intelligence Engineer Job Location: Brea, CA - Hybrid Position Job Summary: (list 5 primary responsibilities) In this role, your primary responsibilities are (but not limited to): * Build ...

ABOUT THIS ROLE As a Business Intelligence Engineer at Audible, you'll serve as a data-driven decision enabler for our senior leadership team. You'll be responsible for designing, implementing, and ...

Business Intelligence Engineer

Montvale, NJ · On-site

$53.25 - $69.25/hr

As a Business Intelligence Engineer at Balchem, you will play a key role in the company's enterprise analytics strategy by designing, developing, and supporting modern data and reporting solutions ...

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Amazon Business Intelligence Engineer information

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How much do amazon business intelligence engineer jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for amazon business intelligence engineer in the United States is $57.05, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $63.70 per hour, depending on experience, location, and employer.

What are some typical projects or responsibilities for Amazon Business Intelligence Engineers?

As an Amazon Business Intelligence Engineer, you will typically design and implement data pipelines, build dashboards and reports, and analyze large datasets to identify patterns and insights that inform business strategies. You’ll frequently collaborate with product managers, software engineers, and business teams to define requirements and deliver solutions that drive operational efficiency and enhance customer experiences. Common projects include automating reporting processes, developing predictive models, and optimizing business processes based on analytical findings. This role offers variety and the opportunity to directly impact business decisions and performance, making it both challenging and rewarding.

What are the key skills and qualifications needed to thrive in the Amazon Business Intelligence Engineer position, and why are they important?

To thrive as an Amazon Business Intelligence Engineer, you need a solid background in data analysis, SQL, data modeling, and a related degree such as computer science, engineering, or mathematics. Expertise in tools like Amazon Redshift, Tableau, QuickSight, Python, and advanced Excel, as well as familiarity with AWS data services, is commonly required. Strong problem-solving, effective communication, and the ability to work cross-functionally are key soft skills for this position. These abilities support data-driven decisions, ensure clear stakeholder collaboration, and enable innovative solutions in a fast-paced environment.

What does a business intelligence engineer do at Amazon?

A Business Intelligence Engineer at Amazon designs and develops data analytics solutions, creates dashboards, and provides insights to support business decision-making. They work with large datasets, use tools like SQL and data visualization software, and collaborate with teams to improve operational efficiency and strategy.

What is an Amazon Business Intelligence Engineer job?

An Amazon Business Intelligence Engineer (BIE) analyzes complex datasets, builds dashboards, and develops scalable solutions to support data-driven decision-making. They collaborate with business leaders, data engineers, and software developers to provide insights that drive operational efficiency and business growth. BIEs use SQL, Python, and data visualization tools like Tableau or Quicksight to identify trends and optimize performance. The role requires strong analytical skills, business acumen, and the ability to translate data into actionable recommendations.

What is the salary of business intelligence engineer 2 in Amazon?

The salary for a Business Intelligence Engineer 2 at Amazon typically ranges from $100,000 to $130,000 annually, depending on experience and location. Compensation may also include bonuses and stock options, with the role requiring proficiency in data analysis tools like SQL and AWS services.

How much do business intelligence engineers make at Amazon?

Business Intelligence Engineers at Amazon typically earn between $100,000 and $150,000 annually, depending on experience, location, and level. Senior roles or those with specialized skills in data analysis, SQL, and cloud tools like AWS may have higher compensation. Total pay can also include bonuses and stock options.

What engineer makes $500,000 a year?

Senior-level engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or in executive roles.
More about Amazon Business Intelligence Engineer jobs
What cities are hiring for Amazon Business Intelligence Engineer jobs? Cities with the most Amazon Business Intelligence Engineer job openings:
What are the most commonly searched types of Amazon Business Intelligence Engineer jobs? The most popular types of Amazon Business Intelligence Engineer jobs are:
What states have the most Amazon Business Intelligence Engineer jobs? States with the most job openings for Amazon Business Intelligence Engineer jobs include:
Infographic showing various Amazon Business Intelligence Engineer job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 94% Full Time, 2% Part Time, 2% Contract, and 1% Summer. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $118,660 per year, or $57 per hour.
Business Intelligence Engineer

Business Intelligence Engineer

Proponent, Inc

Brea, CA • On-site

$100K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago


Job description

About Proponent:

Proponent is the world’s largest independent, employee-owned distributor of aircraft parts, serving customers worldwide. With more than 600 employees across 14 global locations, we take pride in helping keep thousands of aircraft flying safely and efficiently every day. For over 50 years, we’ve built the systems, relationships, and expertise that aviation relies on, from responsive quoting and on-time shipments to data-driven improvements that reduce turnaround time and cost. As a 100% employee-owned company, everyone at Proponent is an owner, which means we share responsibility for our success, look out for one another, and bring dedication and creativity to aviation logistics. Guided by our core values, empathy, intelligence, agility and integrity, we work as a trusted partner to keep aircraft in service and customers moving forward. At Proponent, you’ll join a global team committed to doing things right and supporting each other, helping keep aircraft flying and the world connected.


Business Intelligence Engineer

Job Location: Brea, CA - Hybrid Position

Job Summary: (list 5 primary responsibilities)

In this role, your primary responsibilities are (but not limited to):

  • Build and maintain data pipelines that ingest, transform, and deliver data for reporting and analytics
  • Design and develop data models and semantic layers optimized for business intelligence consumption
  • Translate reporting and analytics requirements into performant, well-structured data solutions
  • Implement solutions within the architectural standards and patterns defined by the Data Architect
  • Monitor and tune data systems and models for performance, reliability, and accuracy
  • Document pipeline configurations, data models, and processes to support maintenance and troubleshooting
  • Apply data security and governance standards in alignment with organizational policies
  • Collaborate with analysts and business stakeholders to ensure data meets reporting needs
  • Serve as a technical resource for the analyst team on data modeling and pipeline questions

Requirements for Success: (list 4 – 5 primary requirements)

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience
  • 5–7 years of experience in data engineering, business intelligence, or related technical roles
  • Proficiency in SQL Server and the Microsoft data platform
  • Experience building data models and reports in Power BI
  • Proficiency in Python for data processing and automation
  • Experience with version control (Git) and collaborative development practices
  • Familiarity with data security and governance best practices

Benefits and Perks of joining the team:

  • Medical, Dental, and Vision plan options
  • Employee Stock Ownership Plan
  • 401k Plan
  • Vacation, Sick, and Holidays
  • Good work-life balance
  • WFH Hybrid available for most positions