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Remote Amazon Business Intelligence Engineer Jobs

$39.25 - $51/hr

Hands-on experience with AWS data services, particularly Amazon Redshift, S3, Glue, Athena, and ... Fully remote working opportunity. * Competitive compensation. * Significant ownership across the ...

Business Intelligence Engineer

OR · On-site +1

$115K - $145K/yr

What You'll Do Reporting to the Manager, Business Intelligence, the Business Intelligence Engineer is responsible for working cross-functionally with stakeholders across the organization (e.g ...

Business Intelligence Engineer

$52.25 - $67.75/hr

What You'll Do Reporting to the Manager, Business Intelligence, the Business Intelligence Engineer is responsible for working cross-functionally with stakeholders across the organization (e.g ...

Senior Business Intelligence Engineer

OR · On-site +1

$51 - $66.25/hr

What we need We are looking for an Advanced Business Intelligence Engineer to join our Business ... Remote. Up to 10% travel may be required to client and customer locations; a valid driver's license ...

Senior Business Intelligence Engineer

VA · Remote

$140K - $170K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... business intelligence, analytics engineering, data analytics, or related disciplines. * Expert ...

Senior Business Intelligence Engineer

VA · Remote

$140K - $170K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... business intelligence, analytics engineering, data analytics, or related disciplines. * Expert ...

Business Intelligence Engineer

San Antonio, TX · On-site +1

$46 - $59.75/hr

EXPERIENCE * 3+ years of experience in Business Intelligence, Data Engineering, Data Warehousing, Analytics Engineering, Software Development, or related technical disciplines. * 3+ years of hands-on ...

Senior Business Intelligence Engineer

OR · On-site +1

$51 - $66.25/hr

The Business Intelligence Engineer plays a vital role in driving our data and analytics infrastructure forward. You will partner closely with data engineers, analysts, product managers, and business ...

Senior Business Intelligence Engineer

$52.25 - $67.75/hr

The Business Intelligence Engineer plays a vital role in driving our data and analytics infrastructure forward. You will partner closely with data engineers, analysts, product managers, and business ...

Our dedication to remote-first work, and strong culture of connection and global inclusion means ... The Staff, Business Intelligence Engineer will play a mission-critical role in our evolution from ...

Our dedication to remote-first work, and strong culture of connection and global inclusion means ... The Staff, Business Intelligence Engineer will play a mission-critical role in our evolution from ...

The Staff, Business Intelligence Engineer will play a mission-critical role in our evolution from ... Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA.

The Staff, Business Intelligence Engineer will play a mission-critical role in our evolution from ... Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA.

Business Intelligence Engineer - Remote

$52.25 - $67.75/hr

Perform business analysis activities to gather required reporting, dashboard, and data store ... Knowledge of or willingness to learn Agile / DevOps values. * Take initiative and participate in ...

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Remote Amazon Business Intelligence Engineer information

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$29

$57

$79

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

As of Sep 2, 2026, the average hourly pay for remote 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 does a remote Amazon Business Intelligence Engineer do?

A Remote Amazon Business Intelligence Engineer is responsible for designing, developing, and maintaining data solutions that help Amazon make data-driven decisions. They work with large datasets, build dashboards, create data models, and generate reports to support different business teams. Their role often involves using tools like SQL, Python, and AWS services to extract and analyze data. Working remotely, they collaborate with stakeholders across Amazon to deliver insights that improve processes and drive business growth.

What are the main collaboration methods for a remote Amazon Business Intelligence Engineer working with cross-functional teams?

As a Remote Amazon Business Intelligence Engineer, effective collaboration is essential, especially when working with data scientists, product managers, and software engineers across different time zones. Most communication occurs through virtual meetings, project management platforms, and regular status updates via email or chat tools. You'll often participate in sprint planning sessions, data review meetings, and code reviews to ensure data solutions align with business objectives. Building strong remote relationships and maintaining clear, proactive communication are key to overcoming the challenges of working in a distributed team environment.

What are the key skills and qualifications needed to thrive as a remote Amazon Business Intelligence Engineer, and why are they important?

To thrive as a Remote Amazon Business Intelligence Engineer, you need strong analytical skills, expertise in data modeling, and proficiency in SQL and data visualization, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with Amazon Web Services (AWS), business intelligence tools like Tableau or QuickSight, and ETL systems is commonly required. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for remote collaboration and translating business needs into actionable insights. These skills are crucial for driving data-informed decision-making and delivering impactful business solutions in a distributed work environment.

What is the difference between Remote Amazon Business Intelligence Engineer vs Remote Amazon Data Analyst?

AspectRemote Amazon Business Intelligence EngineerRemote Amazon Data Analyst
Required SkillsData modeling, SQL, BI tools, AWS servicesData querying, Excel, SQL, visualization tools
Work EnvironmentCross-functional teams, cloud-based platformsData-focused roles, reporting environments
Industry UsageTech, retail, e-commerceRetail, marketing, e-commerce

The Remote Amazon Business Intelligence Engineer focuses on designing and maintaining data systems and dashboards to support business decisions, often working with cloud platforms like AWS. In contrast, the Remote Amazon Data Analyst primarily interprets data, creates reports, and provides insights. Both roles require SQL and data visualization skills but differ in scope and technical depth.

More about Remote Amazon Business Intelligence Engineer jobs

What cities are hiring for Remote Amazon Business Intelligence Engineer jobs?

Cities with the most Remote 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 Remote Amazon Business Intelligence Engineer jobs?

States with the most job openings for Remote Amazon Business Intelligence Engineer jobs include:

Infographic showing various Remote Amazon Business Intelligence Engineer job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $118,660 per year, or $57 per hour.

Business Intelligence Engineer

Jobgether

Remote

$39.25 - $51/hr

Full-time

Posted 8 days ago


Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Business Intelligence Engineer based in Netherlands.

This is a high-impact data role within a fast-moving AI technology environment, with ownership spanning the full business intelligence stack.
You will design and maintain the data infrastructure that powers reliable reporting, analytics, and decision-making across the business.
The role combines data engineering, business intelligence, dashboard development, and hands-on analysis.
You will work closely with business stakeholders and leadership to understand critical KPIs and turn complex datasets into actionable insights.
Your work will directly influence operational priorities, product decisions, and commercial performance.
As part of a lean and ambitious team, you will have significant autonomy and the opportunity to shape data practices from the ground up.
This position is ideal for a technically strong data professional who combines engineering expertise with commercial awareness and a passion for clear, impactful storytelling.

Accountabilities
  • Design, build, and maintain robust data pipelines, data warehouse infrastructure, and data lake environments using AWS services.
  • Establish reliable and scalable data flows across business systems while maintaining high standards for data quality, availability, and consistency.
  • Optimise data infrastructure for performance, reliability, scalability, and effective data governance.
  • Develop and maintain data models and transformation processes that support reporting, analytics, and business intelligence use cases.
  • Build high-quality, intuitive, and actionable dashboards in Looker or comparable business intelligence platforms.
  • Work closely with business stakeholders to understand operational requirements, define KPIs, and translate business questions into effective analytical solutions.
  • Explore and analyse datasets to identify trends, patterns, opportunities, and areas for operational or commercial improvement.
  • Partner with leadership to deliver data-driven analysis that supports strategic decision-making and measurable business change.
  • Translate complex analytical findings into clear, concise, and actionable recommendations for technical and non-technical audiences.
  • Continuously improve the data stack, reporting environment, and analytical processes to increase the accessibility and business value of data.
  • Take end-to-end ownership of business intelligence initiatives, from underlying data pipelines through dashboards and actionable insights.
Requirements
  • Strong professional experience with Python and SQL, with the ability to develop reliable data transformation and analytical workflows.
  • Hands-on experience with AWS data services, particularly Amazon Redshift, S3, Glue, Athena, and Lambda.
  • Proven ability to design, model, transform, and visualise data effectively.
  • Experience building and maintaining dashboards in Looker or a comparable BI platform.
  • Solid understanding of data warehousing, data lakes, data pipelines, and modern data architecture principles.
  • Ability to work across the data stack and take ownership from data ingestion and transformation through reporting and business analysis.
  • Strong analytical mindset with the ability to identify meaningful patterns, trends, and commercial opportunities within complex datasets.
  • Commercial awareness and the ability to distinguish between data that is technically interesting and data that is genuinely valuable to the business.
  • Excellent communication skills, with the ability to explain complex analytical concepts clearly and tell compelling stories with data.
  • High attention to accuracy, clarity, reliability, and detail.
  • Self-directed and comfortable working with significant autonomy in a small, fast-paced environment.
  • Collaborative approach and ability to work effectively with stakeholders across technical, operational, and leadership functions.
  • Availability to work fully remotely, ideally within approximately 2 hours of GMT.
Benefits
  • Fully remote working opportunity.
  • Competitive compensation.
  • Significant ownership across the end-to-end data and business intelligence stack.
  • Opportunity to work with modern AWS data technologies and business intelligence tooling.
  • Direct exposure to leadership and the ability to influence important business decisions through data.
  • Small, fast-moving, ambitious team with minimal bureaucracy and clear individual ownership.
  • Opportunity to shape data infrastructure, reporting practices, and analytics capabilities from an early stage.
  • High-impact environment where your work can directly influence business strategy, operations, and growth.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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