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Weekend 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 III - AMZ9871476

Miami, FL · On-site

$165K - $209K/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 ...

Data Engineer

Lake Buena Vista, FL · On-site

$101K - $136K/yr

Familiarity with vector databases and/or graph databases (e.g., Qdrant, Neo4j, or Amazon Neptune ... Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Lake Buena ...

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 ...

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 · On-site

$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 · On-site

$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 ...

... 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 ...

... 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 ...

Data Engineer

Jacksonville, FL · On-site

$96K - $116K/yr

As a Data Engineer, you will act as a technical leader within the data engineering group. You will ... Occasional evening or weekend work may be required to support critical deliverables Preferred ...

Data Engineer

Jacksonville, FL · On-site

$106K - $127K/yr

As a Data Engineer, you will act as a technical leader within the data engineering group. You will ... Occasional evening or weekend work may be required to support critical deliverables Preferred ...

... 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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Weekend Amazon Data Engineer information

What are Weekend Amazon Data Engineers?

Weekend Amazon Data Engineers are professionals who work with Amazon's data infrastructure, usually on a part-time or flexible basis during weekends. They are responsible for building, maintaining, and optimizing data pipelines and systems that support data analysis and business decision-making. Their work often involves using Amazon Web Services (AWS) tools, programming languages such as Python or SQL, and collaborating with data scientists or analysts. Weekend roles are ideal for those seeking supplementary income, work-life balance, or an opportunity to gain experience in cloud-based data engineering.

What does a typical weekend look like for an Amazon Data Engineer, and how does the work schedule differ from weekday roles?

As a Weekend Amazon Data Engineer, you can expect to focus on monitoring data pipelines, addressing urgent data-related issues, and supporting critical deployments that often occur during lower-traffic periods on weekends. This role may involve collaborating with on-call engineers, data analysts, and product teams to ensure data infrastructure stability and resolve incidents quickly. The weekend schedule typically allows for more independent work, but you will still participate in virtual stand-ups or handoff meetings with weekday teams to maintain continuity. Flexibility and strong communication are important, as you'll often be the primary point of contact for data engineering concerns during your shift.

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

To thrive as a Weekend Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with AWS services (like Redshift, S3, and Glue), ETL tools, and data warehousing certifications is highly valuable. Excellent problem-solving skills, attention to detail, and effective collaboration are standout soft skills for this role. These competencies ensure the reliable and efficient processing of large datasets, supporting business needs even during off-peak times.

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

AspectWeekend Amazon Data EngineerWeekend Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, ETL processesData interpretation, reporting, visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesAmazon, retail, marketing teams

Weekend Amazon Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data and generate reports. Both roles often work in the same environment but serve different functions within Amazon's data ecosystem.

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 cities in Florida are hiring for Weekend Amazon Data Engineer jobs? Cities in Florida with the most Weekend 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

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


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,921 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.


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Benefits

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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