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Temporary Amazon Data Engineer Jobs in Florida (NOW HIRING)

Sr. Data Engineer, Amazon Fuse

Miami, FL · On-site

$109K - $131K/yr

... Amazon, including millions of Prime products and our full catalog of Prime Video. The Fuse Data Analytics (DA) team is looking for a Sr. Data Engineer to influence Fuse's decisions and direction ...

Sr. Data Engineer, Amazon Fuse

Miami, FL · On-site

$109K - $131K/yr

... Amazon, including millions of Prime products and our full catalog of Prime Video. The Fuse Data Analytics (DA) team is looking for a Sr. Data Engineer to influence Fuse's decisions and direction ...

Data Engineer

Coral Springs, FL · On-site

$109K - $130K/yr

As a Data Engineer, you will be responsible for collecting, analyzing, and interpreting data to ... AWS (Amazon Web Services) * Redshift * EC2 * Solid understanding of statistical analysis and data ...

Data Engineer

Davie, FL · On-site

$104K - $126K/yr

Data Engineer (Core Data Engineer role) 1 year assignment.(Temp to perm: Based on openings and performance) Davie, FL (Onsite) Shift: Monday - Friday 8:00am - 5:00pm, 40 hours a week Core Essential ...

Sr. AWS Data Engineer

Jupiter, FL · On-site

$103K - $140K/yr

Cognizant is seeking an experienced Senior Data Engineer to join their team. This role involves ... Amazon RDS and Amazon Redshift for efficient data storage and retrieval ensuring data integrity ...

Databricks Data Engineer

Miami, FL

$109K - $131K/yr

Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

Databricks Data Engineer

Tampa, FL

$108K - $129K/yr

Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Leading teams in the strategic planning and execution of data-driven projects - Overseeing the deployment ...

Data Engineer - Manager

Jacksonville, FL · On-site

$99K - $232K/yr

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Leading teams in the strategic planning and execution of data-driven projects - Overseeing the deployment ...

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Leading teams in the strategic planning and execution of data-driven projects - Overseeing the deployment ...

Data Engineer - Manager

Miami, FL · On-site

$99K - $232K/yr

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Leading teams in the strategic planning and execution of data-driven projects - Overseeing the deployment ...

Data Engineer[Hybrid]- (W2 ROLE)

Orlando, FL · On-site

$106K - $128K/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 ...

... 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 ...

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

The Data Engineer will partner with a wide range of business teams to implement analytical and data ... Note: Temporary and/or seasonal associates are ineligible for Paid Time Off. * Medical * Dental

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Temporary Amazon Data Engineer information

What is the difference between Temporary Amazon Data Engineer vs Temporary Google Data Engineer?

AspectTemporary Amazon Data EngineerTemporary Google Data Engineer
Required CredentialsBachelor's in CS, Data Engineering certifications, AWS knowledgeBachelor's in CS, Data Engineering certifications, GCP knowledge
Work EnvironmentAmazon's cloud infrastructure, e-commerce, and logisticsGoogle Cloud Platform, advertising, and tech services
Employer & Industry UsageAmazon, retail, logistics, cloud servicesGoogle, tech, advertising, cloud services
Search & Comparison IntentHigh overlap in cloud data roles, certifications, and industrySimilar roles in cloud data engineering, but with different platform focus

Temporary Amazon Data Engineers and Temporary Google Data Engineers share similar skills, certifications, and work environments focused on cloud data platforms. The main difference lies in the cloud platform expertise—AWS for Amazon and GCP for Google—making each role suited to specific employer ecosystems and industry applications.

What are some common challenges Temporary Amazon Data Engineers face when onboarding to new projects?

Temporary Amazon Data Engineers often encounter challenges such as quickly adapting to existing data infrastructure, understanding proprietary tools and processes, and integrating with teams that may already have established workflows. Since the role is time-limited, it’s crucial to rapidly build relationships with stakeholders and clarify project goals early on. Proactive communication and leveraging available documentation can help overcome these hurdles, ensuring a smoother transition and effective project delivery.

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

To thrive as a Temporary Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with Amazon Web Services (AWS) data tools like Redshift, S3, Glue, and ETL pipelines, as well as relevant certifications like AWS Certified Data Analytics, is highly valuable. Excellent problem-solving skills, adaptability, and effective communication are crucial soft skills for collaborating on short-term projects and delivering timely results. These skills and qualifications ensure efficient data solutions, seamless integration with Amazon's platforms, and the ability to meet dynamic business needs in a fast-paced environment.

What does a Temporary Amazon Data Engineer do?

A Temporary Amazon Data Engineer is responsible for designing, building, and maintaining data pipelines and systems within Amazon on a short-term or contract basis. They work with large datasets, ensure data quality, and collaborate with other teams to support analytics and business intelligence initiatives. Their role includes tasks such as data extraction, transformation, and loading (ETL), as well as troubleshooting data issues and optimizing data workflows. Although the position is temporary, it often requires strong technical skills in SQL, Python, and cloud services like AWS. The work helps Amazon make data-driven decisions and improve its services.
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 Temporary Amazon Data Engineer jobs in Florida? For Temporary Amazon Data Engineer jobs in Florida, the most frequently searched job titles are:
What cities in Florida are hiring for Temporary Amazon Data Engineer jobs? Cities in Florida with the most Temporary Amazon Data Engineer job openings:
Sr. Data Engineer, Amazon Fuse

Sr. Data Engineer, Amazon Fuse

Amazon

Miami, FL • On-site

$109K - $131K/yr

Full-time

Posted 3 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,891 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Are you interested in using AI and data to drive the next phase of Amazon's growth?
Amazon Fuse (https://www.amazonfuse.com/) helps third party subscription-based businesses better serve their customers by offering the selection, convenience and value customers have come to know and love from Amazon, including millions of Prime products and our full catalog of Prime Video.
The Fuse Data Analytics (DA) team is looking for a Sr. Data Engineer to influence Fuse's decisions and direction using data insights. The ideal candidate is data-curious and possesses a strong analytical mindset

They excel at communicating with stakeholders and turning ambiguity and conjecture into actionable recommendations. They find opportunities where data will lead to better outcomes and mobilize the DA team to meet them.
In this role, you will be a technical expert with growing scope and impact. You will work with Product Managers, Software Engineers, Finance and Marketing Managers, as well as fellow Data Engineers and BI Engineers to build new data pipelines and datasets that optimize for business impact

We are seeking someone who can thrive in a fast-paced, high-energy work environment where we add value incrementally and frequently. We value highly technical people who know their subject matter deeply and are willing to learn new areas. We look for individuals who think like owners to develop themselves, their colleagues, and their team.
You use AI tools (e.g., coding assistants, generative AI) to accelerate pipeline development, improve code quality, and automate repetitive data engineering tasks while building and maintaining data pipelines that power AI-driven products and proactively identifying opportunities to embed AI into data workflows such as data validation, transformation logic, and documentation.
Key job responsibilities
- Architect, develop, and maintain scalable data infrastructure and data pipelines, leveraging AI tools to accelerate development and improve code quality.
- Extract, transform, and load data from a variety of sources using SQL, scripting, and AWS big data technologies.
- Design and implement ETL pipelines and BI solutions, identifying opportunities to embed AI into data workflows such as data validation and transformation logic.
- Collaborate with business owners, SDEs, and BI Engineers to explore new data sources and deliver insights.
- Stay up to date with advancements in big data and AI technologies and contribute to pilot projects.
- Proactively identify and resolve data-related issues reducing operational load on the team, using AI-assisted automation where applicable.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

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