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Remote Amazon Data Engineer Jobs in Arizona (NOW HIRING)

Data Engineer

Phoenix, AZ ยท On-site +1

$113K - $136K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

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Data Engineer

Phoenix, AZ ยท Remote

$114K - $137K/yr

Yes REMOTE WORK COMMENTS: Must be available during normal working hours in MST (AZ time) POSITION SUMMARY: We are looking for a savvy Data Engineer to join our growing team of analytics experts. The ...

Data Engineer

Phoenix, AZ ยท Remote

$114K - $137K/yr

Yes REMOTE WORK COMMENTS: Must be available during normal working hours in MST (AZ time) POSITION SUMMARY: We are looking for a savvy Data Engineer to join our growing team of analytics experts. The ...

Data Engineer (MedInsight)

Phoenix, AZ ยท On-site +1

$93K - $177K/yr

We are seeking a skilled and driven Data Engineer to design, build, and optimize scalable data ... Location This role can be remote within the U.S. The expected application deadline for this job is ...

Data Engineer (MedInsight)

Phoenix, AZ ยท On-site +1

$93K - $177K/yr

We are seeking a skilled and driven Data Engineer to design, build, and optimize scalable data ... Location This role can be remote within the U.S. The expected application deadline for this job is ...

Data Engineer AI

Phoenix, AZ ยท On-site +1

$113K - $136K/yr

You are a "day-one" builder who ensures that data is not just moved, but engineered for the ... LI-TS1 #remote Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

Data Engineer III

Chandler, AZ ยท Remote

$110K - $132K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... As a Data Engineer III, you'll be responsible for delivering high-quality work that advances ...

Data Engineer III

Chandler, AZ ยท Remote

$110K - $132K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... As a Data Engineer III, you'll be responsible for delivering high-quality work that advances ...

Senior, Data Engineer

Chandler, AZ ยท Remote

$140K - $160K/yr

Come join our amazing team and work remote from home! What you'll do: Under direct supervision ... Proficiency in programming languages is commonly used in data engineering, such as Python or Java ...

Lead Data Engineer - Primary Care

Phoenix, AZ ยท Remote

$101K - $134K/yr

Become a part of our caring community The Lead Data Engineer oversees data processing architectures ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Senior Data & AI Engineer

Phoenix, AZ ยท On-site +1

$50 - $60/hr

Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a Senior Data & AI Engineer to lead the design and delivery of secure, scalable data and AI solutions ...

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Remote Amazon Data Engineer information

Can I work remotely as a data engineer?

Remote work is common for data engineers, including those working with companies like Amazon. Many data engineering roles involve tasks such as data pipeline development, database management, and cloud platform usage, which can often be performed remotely with the right skills and tools. However, some positions may require on-site presence for collaboration or specific project needs.

How much do Amazon data engineers make?

Amazon data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill level. Senior roles or those with expertise in cloud platforms and big data tools may earn higher salaries, often exceeding $160,000.

What does a Remote Amazon Data Engineer do?

A Remote Amazon Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases for Amazon or companies using Amazon Web Services (AWS). They work remotely to process large volumes of data, ensure data quality, and enable efficient data analysis. Their tasks typically include extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytics platforms. They often use AWS tools such as Redshift, Glue, S3, and Lambda to manage infrastructure and automate workflows. Strong programming skills in languages like Python or SQL are essential for this role.

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

AspectRemote Amazon Data EngineerRemote Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing ETL processesInterpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, e-commerce, cloud servicesRetail, marketing, e-commerce
Common Search & ComparisonFocus on data infrastructure and pipelinesFocus on data insights and reporting

The main difference between a Remote Amazon Data Engineer and a Remote Amazon Data Analyst lies in their roles. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data to generate insights, focusing on analysis and reporting. Both roles are essential in data-driven companies but serve different functions within the data ecosystem.

Does Amazon hire for remote work?

Amazon offers remote work opportunities for various roles, including data engineers, depending on the position and team needs. Many remote positions require relevant skills, such as experience with cloud platforms like AWS, and may involve flexible schedules or specific technical requirements.

What are some common challenges faced by Remote Amazon Data Engineers, and how can they be addressed?

Remote Amazon Data Engineers often encounter challenges related to collaborating across time zones and ensuring clear communication with global teams. Effective use of collaboration tools, regular virtual meetings, and clear documentation can help bridge these gaps. Additionally, managing large-scale data pipelines on AWS requires staying updated on best practices for security, scalability, and cost optimization. Proactively participating in team stand-ups and engaging in continuous learning about AWS services can significantly enhance productivity and project outcomes.

What engineers make $500,000?

Senior data engineers, especially those working at large tech companies like Amazon, can earn $500,000 or more annually, including base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills in data architecture, cloud platforms, and programming, as well as a track record of impactful projects.

What are the key skills and qualifications needed to thrive as a Remote Amazon Data Engineer, and why are they important?

To thrive as a Remote Amazon Data Engineer, you need strong expertise in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, S3, Glue, and data pipeline tools, as well as certifications such as AWS Certified Data Analytics, are highly valued. Excellent problem-solving, communication, and self-management skills help remote engineers collaborate effectively and deliver reliable data solutions. These abilities are crucial for ensuring robust, scalable data infrastructure and supporting data-driven decision-making in a distributed work environment.
What are the most commonly searched types of Amazon Data Engineer jobs in Arizona? The most popular types of Amazon Data Engineer jobs in Arizona are:
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What cities in Arizona are hiring for Remote Amazon Data Engineer jobs? Cities in Arizona with the most Remote Amazon Data Engineer job openings:

Data Engineer -REMOTE

Techoundsllc

Phoenix, AZ โ€ข Remote

$113K - $136K/yr

Full-time

Posted 16 days ago


Job description

Must reside in PST time zone!

Job Overview
We are seeking a skilled Data Engineer with 3โ€“5 years of experience specializing in data analysis, writing queries, query optimization, reporting, and data solutions. The ideal candidate will have a strong background in MongoDB, MySQL, and SQL, coupled with experience in AWS RDS and tools like Jira, along with strong analytical and problem-solving skills. This role involves designing, building, and maintaining optimized, highly available data pipelines that facilitate deeper analysis and reporting by the Data and Analytics team and support business initiatives.

Key Responsibilities

ยท Develop and execute complex queries in MongoDB, MySQL, and SQL to analyze and extract meaningful insights from datasets.

ยท Create and maintain reporting solutions that support business needs, ensuring clarity and accuracy.

ยท Collaborate with stakeholders to understand reporting requirements and deliver actionable insights through dashboards or reports.

ยท Support ad-hoc analysis by providing timely and efficient query solutions to business teams.

ยท Leverage AWS services, such as RDS and S3, to support data integration and reporting workflows.

ยท Troubleshoot and resolve data-related issues to ensure smooth operations.

ยท Create and maintain documentation for data processes, queries, and reporting workflows.

Qualifications

ยท Experience: 3โ€“5 years of experience as a Data Engineer or similar role with a focus on data analysis and reporting.

ยท Strong proficiency in MongoDB, MySQL, and SQL for query design and optimization.

ยท Hands-on experience with AWS RDS and related AWS services.

ยท Ability to analyze and interpret data to provide actionable insights.

ยท Experience creating and maintaining reports, dashboards, and visualization tools.

Tools

ยท Proficiency with Jira for task and workflow management.

Preferred Qualifications

ยท Experience with Python or similar programming languages for advanced data manipulation.

ยท Knowledge of Agile methodologies and task tracking tools.

ยท Familiarity with reporting tools.

ยท Nice to have: Experience leveraging AI/ML technologies to enhance data analysis, automate workflows, or optimize reporting processes.

Work Location: Remote