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Aws Big Data Engineer Jobs (NOW HIRING)

Amazon

Data Engineer II, DBS BI

Bellevue, WA

In this role, you will be building complex data engineering and business intelligence applications using AWS big data stack You should have deep expertise and passion in working with large data sets ...

Amazon

Data Engineer II, DBS BI

Bellevue, WA

In this role, you will be building complex data engineering and business intelligence applications using AWS big data stack You should have deep expertise and passion in working with large data sets ...

Ruri Software Technologies LLC

Big Data Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Big Data Engineer City :Tampa State :FL : TOP REQUIREMENTS: Big Data (Spark, Scala, Hive, Hadoop ... Experience building and deploying applications to the cloud (AWS, Azure, etc.). * Experience ...

J.P. Morgan

AWS Big Data Lead Software Engineer

Columbus, OH

$53.75 - $71.25/hr

Experience with Big Data / Distributed / cloud technology (AWS Big data services like lambda, glue ... Certified AWS Cloud Practitioner, Developer or Solutions Architect strongly preferred ABOUT US ...

Ruri Software Technologies LLC

Data Engineer

$117K - $140K/yr

Data Engineer JOB RESPONSIBILITIES The primary focus of a Data Engineer will be expanding and ... and AWS 'big data' technologies. * Work with stakeholders teams to assist with data-related ...

Apton inc

Big Data Engineer/Cloud Data Engineer

Richmond, VA · On-site

$55.25 - $73/hr

Big Data Engineer/Cloud Data Engineer in Richmond, VA Qualifications * 9+ years of experience in ... AWS - 2+ years * Java - 6+ years Additional Information All your information will be kept ...

Apton Inc

Big Data Engineer/Cloud Data Engineer

Richmond, VA · On-site

$55.25 - $73/hr

Big Data Engineer/Cloud Data Engineer in Richmond, VA Qualifications * 9+ years of experience in ... AWS - 2+ years * Java - 6+ years Additional Information All your information will be kept ...

TriOptus LLC

Big Data Engineer

Houston, TX · On-site

$53.25 - $70.50/hr

AWS experience. * Green Plum experience. * Proficient in Big Data application development skills as well as multiple design techniques * Working proficiency in Big Data development toolset to design ...

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How much do aws big data engineer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for aws big data engineer in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

What is an AWS Big Data Engineer job?

An AWS Big Data Engineer designs, builds, and maintains big data solutions on Amazon Web Services (AWS). They work with technologies like AWS Glue, Redshift, EMR, S3, and Lambda to process, analyze, and store large datasets. Their responsibilities include data pipeline development, optimizing data workflows, and ensuring scalability. They collaborate with data scientists, analysts, and developers to support business intelligence and machine learning initiatives. Strong knowledge of AWS services, SQL, Python, and big data frameworks like Apache Spark is essential for this role.

What are the main challenges an AWS Big Data Engineer might face on the job?

One of the main challenges for AWS Big Data Engineers is efficiently processing and managing large volumes of diverse data while ensuring high availability and performance across cloud-based platforms. You’ll often need to troubleshoot complex data pipelines, optimize costs, and maintain data security in a constantly evolving cloud environment. Collaboration with data scientists, analysts, and DevOps teams is essential to align technical solutions with business needs and objectives. Overcoming these challenges requires continuous learning and adaptability, but it also provides excellent opportunities to develop advanced technical skills and gain exposure to innovative projects.

What are the key skills and qualifications needed to thrive in the Aws Big Data Engineer position, and why are they important?

To thrive as an AWS Big Data Engineer, you need strong expertise in data modeling, ETL processes, and distributed data systems, typically backed by a degree in computer science or a related field. Proficiency with AWS services like EMR, Redshift, S3, Glue, and holding relevant AWS certifications is highly valuable. Excellent problem-solving skills, effective communication, and the ability to work collaboratively within cross-functional teams are essential soft skills. These competencies ensure robust and scalable big data solutions that drive meaningful insights and value for organizations.

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What states have the most Aws Big Data Engineer jobs? States with the most job openings for Aws Big Data Engineer jobs include:
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Aws Big Data Engineer jobs near you
Infographic showing various Aws Big Data Engineer job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.
Data Engineer II, DBS BI

Data Engineer II, DBS BI

Amazon

Bellevue, WA

Full-time

Re-posted 26 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,972 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

AWS Databases, Analytics and AI/ML Products and Services is one of the largest and fast-growing business unit within AWS. We are working to rebuild and revolutionize data engineering and business intelligence systems within database, analytics and AI/ML organization to support fast growing business needs.
We are looking for experienced, self-driven Data Engineer. In this role, you will be building complex data engineering and business intelligence applications using AWS big data stack

You should have deep expertise and passion in working with large data sets, data visualization, building complex data processes, performance tuning, bringing data from disparate data stores and programmatically identifying patterns. You should have excellent business acumen and communication skills to be able to work with business owners to develop and define key business questions and requirements. You will provide guidance and support for other engineers with industry best practices and direction.

Amazon Web Services (AWS) has culture of data-driven decision-making, and demands timely, accurate, and actionable business insights.
Key job responsibilities
Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark/Scala, Athena etc.
Develop and manage ETLs to source data from various commercial, sales and operational systems and create unified data model for analytics and reporting.
Use business intelligence and visualization software (e.g., QuickSight.) to develop dashboards those are used by senior leadership.
Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.
Develop deep understanding of vast data sources and know exactly how, when, and which data to use to solve particular business problems.
Work with Product Managers, Finance, Service Engineering Teams and Sales Teams on day-to-day basis to support their new analytics requirements.
Manage numerous requests concurrently and strategically, prioritizing when necessary
Partner/collaborate across teams/roles to deliver results.
Mentor other engineers, influence positively team culture, and help grow the team.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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