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Amazon Data Engineer Jobs in Florida (NOW HIRING)

Solomon Page

Senior Data Engineer

Orlando, FL · On-site

$85/hr

We are seeking a Senior Data Engineer - B2B AI & Data Products to design and build scalable data ... Familiarity with AI technologies/frameworks such as Amazon Bedrock, Snowflake Cortex AI, Databricks ...

BAE Systems

Data Eng Sr

Fort Walton Beach, FL · On-site +1

$94K - $112K/yr

We are seeking an experienced Data Engineer to design, build, and maintain large-scale data ... Provide technical support for Amazon Redshift, including troubleshooting, performance optimization ...

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Showing results 21-40

All JobsAmazon Data Engineer JobsAmazon Data Engineer Jobs in Florida

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 Sep 15, 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?

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 do Amazon data engineers do?

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 key skills and qualifications needed to thrive as an Amazon data engineer?

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.

Is an Amazon Data Engineer in demand?

Amazon Data Engineers are in high demand due to the company's extensive data infrastructure needs, with skills in cloud platforms like AWS, data pipelines, and SQL being highly sought after. The role offers strong job growth prospects as organizations increasingly rely on data-driven decision making.

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:

What job categories do people searching Amazon Data Engineer jobs in Florida look for?

The top searched job categories for Amazon Data Engineer jobs in Florida are:

What cities in Florida are hiring for Amazon Data Engineer jobs?

Cities in Florida with the most Amazon Data Engineer job openings:

Infographic showing various Amazon Data Engineer job openings in Florida as of August 2026, with employment types broken down into 64% Full Time, and 36% Contract. Highlights an 86% In-person, 5% Hybrid, and 9% Remote job distribution, with an average salary of $96,936 per year, or $46.6 per hour.

Data Engineer[Hybrid/Remote]-(W2 ROLE)

Orlando, FL • On-site

SmartIPlace
IT Services • 51 - 200 employees
Learn more about SmartIPlaceexternal

$77/hr

Contractor

Re-posted 4 days ago

Job description

Tile: Data Engineer

Main technologies needed is experience with Gen AI, SQL, Python. 

  • 12 month contract, can extend to 24 months
  • Pay rate Candidate $77/hr. on W2
  • Visa: USC, GC, GC_EAD, H4-EAD
  • Hybrid, 3 days onsite, 2 remote
  • Orlando Locals Highly preferred 

Team/Business Segment:
The Disney Decision Science and Integration (DDSI) team leverages advanced technologies, data analytics, and scientific approaches such as optimization, and statistical modeling to build innovative tools that shape business decisions across The Walt Disney Company.

Responsibilities/What You Will Do:
-Planning and leading research and development related to advanced analytic data solutions, leveraging GenAI.
-Work with business and technology leaders to understand scope and requirements, business needs, and data from across the company in order to design and deliver the data pipelines necessary for best solutions.
-Consult and collaborate with project team members, lead design reviews, do hands-on development, and communicate with colleagues and leaders.

Requirements:

  • 7+ years experience in data engineering development using multiple environments (Dev, QA, Prod, etc.) and DevOps procedures for code deployment
  • Experience with a variety of GenAI models, tools, and concepts
  • 5+ years of shown experience and expertise using SQL and Python
  • 3+ years using, designing and building relational databases (preferably Snowflake or PostgreSQL)
  • Experience translating project scope and high-level requirements into technical data engineering tasks
  • Experience defining solutions to sophisticated data engineering problems in support of advanced analytic processes
  • Understanding of Knowledge Graphs, Data Mesh, and other data sharing platforms
  • 3+ years of experience leading and deploying code using a source control product such as GitLab/GitHub
  • 2+ years of experience with job scheduling software like Apache Airflow, Amazon MWAA, GitLab Runners or UC4
  • Multiple years of experience with ELT/ETL data pipeline development and maintenance
  • Experience using containerization technologies such as Docker or Kubernetes

Education:

  • Bachelor’s degree (Computer Science, Mathematics, Software Engineering or related field, or equivalent experience)
Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media

Facebook

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