77 Remote AWS Data Engineer Jobs

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AWS Data Engineer
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๐Ÿ†• Date Added

4 days ago

CMG is seeking a Data Engineer to build scalable data architecture and pipelines. Join a finance tech firm innovating in capital markets.

December 11

It's Prodigy

11 - 50

Join it's Prodigy as a Data Engineer, managing and transforming data solutions for various clients. Flexible working in a dynamic, innovative environment awaits you.

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Top Companies Hiring Remote AWS Data Engineers

Allata

Strategic Advisory Services โ€ข Transformational Program Management โ€ข Emerging Technology

201 - 500

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Brushfire

Online Ticketing & Registration โ€ข Assigned Seat Ticketing โ€ข Event App

11 - 50

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Cybernetic Controls Ltd

recruitment โ€ข remotehiring โ€ข offshore recruitment

51 - 200

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DataChef

AWS โ€ข Data Lake โ€ข Data Mesh

11 - 50

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Diverto

Information Security Assessments โ€ข Vulnerability Testing โ€ข Penetration Testing

51 - 200

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ForceMetrics

data science โ€ข machine learning โ€ข data visualization

11 - 50

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Remote AWS Data Engineer Salary Expectations

The average salary for remote aws data engineers is $85,700 per year. This is based on data from 1 job openings. Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate salary expectations.

Below is a breakdown of salary data by years of experience:

ExperienceNumber of roles analyzedAverage Salary

๐ŸŸข Junior AWS Data Engineer (1-2 yrs)

1$85,700

Frequently asked questions

You need strong skills in data modeling, ETL processes, and cloud-based solutions. Proficiency in AWS services like S3, Redshift, and Glue is essential, along with programming skills in Python, SQL, or Java. Knowledge of data warehousing and big data technologies is also important.

Typically, a degree in computer science, engineering, or a related field is preferred. Relevant certifications such as AWS Certified Data Analytics or AWS Certified Solutions Architect can enhance your profile. Practical experience with data engineering and cloud technologies is crucial.

Responsibilities include designing and maintaining data pipelines, ensuring data quality and integrity, collaborating with data scientists and analysts, and optimizing AWS resources for data processing. You'll also need to monitor and troubleshoot data workflows.

Benefits include flexible working hours, a remote work environment, the ability to collaborate with global teams, reduced commuting times, and potential for higher salary due to the demand for AWS skills. It also offers opportunities for continuous learning and professional growth.

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