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Remote Amazon Business Intelligence Engineer Jobs in Tennessee

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Structural Engineer - Remote/Hybrid

Oak Ridge, TN · On-site +1

... intelligence, energy, and civilian sectors. Our people are our competitive advantage, driven by ... This timeline may change based on business needs. Amentum is proud to be an Equal Opportunity ...

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Remote Amazon Business Intelligence Engineer information

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.

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.
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Remote Amazon Business Intelligence Engineer jobs near you

GCP Infrastructure Automation Engineer - Remote

micro1 AI

Nashville, TN • Remote

$20 - $300/hr

Part-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

GCP DevOps Engineer


Job Type: Full-time


Location: Remote - US


Job Summary:

Join our team as a GCP DevOps Engineer and play a crucial role in designing, building, and maintaining modern cloud infrastructure solutions. You will collaborate closely with talented engineers and stakeholders to deliver scalable, reliable, and secure environments on Google Cloud Platform (GCP). We are seeking a proactive professional with a passion for infrastructure automation and a strong commitment to clear, effective communication.


Key Responsibilities:

• Design, implement, and manage scalable cloud infrastructure solutions on GCP.

• Automate deployment, monitoring, and management processes using industry-leading DevOps practices.

• Administer and optimize Kubernetes clusters for maximum reliability and performance.

• Collaborate with development teams to streamline CI/CD pipelines and refine workflows.

• Ensure the security and compliance of cloud environments by applying best practices.

• Proactively identify and resolve infrastructure bottlenecks and incidents.

• Document solutions and processes with a focus on clarity and thoroughness to support team knowledge sharing.


Required Skills and Qualifications:

• Strong hands-on experience with Google Cloud Platform (GCP).

• Deep expertise in implementing and operating cloud infrastructure in production settings.

• Proficiency with Kubernetes administration and orchestration.

• Solid understanding of DevOps methodologies, tools, and best practices.

• Experience building and maintaining CI/CD pipelines.

• Competence with infrastructure-as-code tools (e.g., Terraform, Deployment Manager).

• Excellent written and verbal communication skills; ability to convey complex concepts clearly.


Preferred Qualifications:

• GCP certifications such as Associate Cloud Engineer or Professional DevOps Engineer.

• Experience with hybrid or multi-cloud environments.

• Familiarity with security best practices and compliance standards relevant to cloud-native architectures.


Compensation & Benefits Notice


The national pay range for this full-time position is base salary of $160,000-$220,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.


micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.


Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.


Disclaimer


The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.

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