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Amazon Data Engineer Jobs in Florida (NOW HIRING)

Data Engineer III - AMZ9871476

Miami, FL · On-site

$165.78K - $209.10K/yr

AMAZON.COM SERVICES LLC Offered Position: Data Engineer III Job Location: Miami, Florida Job Number: AMZ9871476 Position Responsibilities: Design, develop, implement, test, document, and operate ...

Starburst Developer/ Data Engineer

Tampa, FL · On-site

$104.20K - $125.10K/yr

... Engineer As a Starburst developer, you will be responsible for leveraging Starburst Enterprise ... Amazon S3 and other enterprise data sources. Your expertise will play a crucial role in analytics ...

Sr Databricks Data Engineer

Miami, FL · On-site

$109.30K - $131.30K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data ... Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) • 5+ years of ...

Sr Databricks Data Engineer

Tampa, FL

$98.80K - $135.60K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Senior Consultant ...

Sr Databricks Data Engineer

Miami, FL · On-site

$99.90K - $137.20K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Senior Consultant ...

Sr Databricks Data Engineer

Tampa, FL · On-site

$98.80K - $135.60K/yr

... data engineering solutions. The role involves leading the implementation of enterprise data ... Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) • 5+ years of ...

Sr Data Engineer

Miami, FL · On-site

$109.50K - $131.50K/yr

Sr. Data Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to ... Experience with data streaming technologies, such as Apache Kafka, Apache Flink, or Amazon Kinesis ...

Data Engineer

West Palm Beach, FL · On-site

$99.60K - $156.50K/yr

Amazon Web Services - Preferred * Apache Hadoop - Preferred Candidates must be legally authorized to work in the United States on a permanent basis. We do not offer visa sponsorship now or in the ...

Data Engineer

Saint Petersburg, FL · On-site

$99.60K - $156.50K/yr

Amazon Web Services - Preferred * Apache Hadoop - Preferred Candidates must be legally authorized to work in the United States on a permanent basis. We do not offer visa sponsorship now or in the ...

Data Engineer

West Palm Beach, FL · On-site

$99.60K - $156.50K/yr

Amazon Web Services - Preferred * Apache Hadoop - Preferred Candidates must be legally authorized to work in the United States on a permanent basis. We do not offer visa sponsorship now or in the ...

Data Engineer

Saint Petersburg, FL · On-site

$99.60K - $156.50K/yr

Amazon Web Services - Preferred * Apache Hadoop - Preferred Candidates must be legally authorized to work in the United States on a permanent basis. We do not offer visa sponsorship now or in the ...

Data Engineer[Hybrid]- (W2 ROLE)

Orlando, FL · On-site

$106.90K - $128.40K/yr

Title: Data Engineer- W2 ROLE Duration: 12-month contract, can extend to 24 months Role Type ... Amazon MWAA, GitLab Runners or UC4 * Multiple years of experience with ELT/ETL data pipeline ...

Spark Engineer

Jacksonville, FL · On-site

$106.10K - $127.40K/yr

Data Engineer The Data Engineer's primary role is to write Spark pipelines to ETL data within our ... Amazon EMR - Big Data processing * Unit testing experience * Must have experience with SQL and ...

Business Intel Engineer III - AMZ9713501

Miami, FL · On-site

$144.48K - $176.30K/yr

Business Intel Engineer III Job Location: Miami, Florida Job Number: AMZ9713501 Position ... Research, design, and develop new forecasting technologies to help Amazon leverage its data to ...

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

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Amazon Data Engineer information

See Florida salary details

$33.3K

$96.9K

$132.6K

How much do amazon data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for amazon data engineer in Florida is $96,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $102,800.00 per year, depending on experience, location, and employer.

What is an Amazon Data Engineer job?

An Amazon Data Engineer is responsible for designing, building, and maintaining data infrastructure to support business intelligence and analytics. They work with large-scale datasets, optimize data pipelines, and ensure efficient data processing. Engineers collaborate with data scientists, analysts, and software teams to enable data-driven decision-making. Key skills include SQL, Python, ETL development, and experience with AWS services like Redshift, S3, and Glue.

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

To thrive as an Amazon Data Engineer, you need strong proficiency in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically accompanied by a degree in computer science or a related field. Familiarity with AWS cloud services (like Redshift, S3, and Glue), big data tools, and relevant certifications such as AWS Certified Data Analytics are highly valued. Strong problem-solving skills, effective communication, and the ability to work collaboratively in cross-functional teams set standout candidates apart. These skills and qualities ensure data is accurately managed, integrated, and made accessible for analytics and business decisions in Amazon's complex environment.

What types of projects and data challenges do Amazon Data Engineers typically work on in their day-to-day roles?

As an Amazon Data Engineer, you can expect to work on projects involving the design, development, and maintenance of large-scale data pipelines and data warehouses. Common challenges include optimizing data flows for efficiency, handling massive and complex datasets, and ensuring data quality and integrity across various sources. You'll frequently collaborate with data scientists, analysts, and other engineering teams to create scalable solutions that support business intelligence and machine learning initiatives. The fast-paced environment provides opportunities to solve unique technical problems and drive data-driven decision-making across Amazon’s diverse businesses.
What are the most commonly searched types of Amazon Data Engineer jobs in Florida? The most popular types of Amazon Data Engineer jobs in Florida are:
What are popular job titles related to Amazon Data Engineer jobs in Florida? For Amazon Data Engineer jobs in Florida, the most frequently searched job titles are:
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What cities in Florida are hiring for Amazon Data Engineer jobs? Cities in Florida with the most Amazon Data Engineer job openings:
Data Engineer III - AMZ9871476

Data Engineer III - AMZ9871476

Amazon

Miami, FL • On-site

$165.78K - $209.10K/yr

Full-time

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


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,779 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers


Job description

MULTIPLE POSITIONS AVAILABLE
Employer: AMAZON.COM SERVICES LLC
Offered Position: Data Engineer III
Job Location: Miami, Florida
Job Number: AMZ9871476
Position Responsibilities:
Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics. Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies. Provide on-line reporting and analysis using OBIEE business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture. Analyze source data systems and drive best practices in source teams. Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance. Produce comprehensive, usable dataset documentation and metadata. Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers. Evaluate and make decisions around the use of new or existing software products and tools. Mentor junior data engineers.
40 hours / week, 8:00am-5:00pm, Salary Range $165,776/year to $209,100/year.
Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit:
https://www.aboutamazon.com/workplace/employee-benefits.
Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000
BASIC QUALIFICATIONS
Position Requirements:
Master's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and three years of experience in the job offered, or as an Operations Research Analyst, Database Developer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and seven years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and three years of experience. Must have one year of experience in the following skill(s): (1) developing and operating large-scale data structures for business intelligence analytics using each of the following: (i.) ETL/ELT processes; (ii.) OLAP technologies; (iii.) data modeling; (iv.) SQL; and (v.) Oracle.#0000
PREFERRED QUALIFICATIONS
Please see job description and the position requirements above.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

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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