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Temporary Amazon Data Engineer Jobs in Florida (NOW HIRING)

AWS/ DATA Engineer

Coral Springs, FL · On-site

$109K - $130K/yr

Amazon Bedrock / GenAI Solutions * Data Engineering & Data Warehousing * Agentic AI / LLM Framework Responsibilities * Design and operate data pipelines on AWS -- Glue, Step Functions, Lambda ...

Role This Data Engineer directly supports the Air Force Special Operations Command based at ... Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service ...

Data Engineer

Hurlburt Field, FL

$104K - $125K/yr

Role This Data Engineer supports Air Force Special Operations Command (AFSOC) at Hurlburt Field ... Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service ...

Data Engineer

Hurlburt Field, FL · On-site

$104K - $125K/yr

Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service ... Engineering. * Verifiable work experience working with data structures, database management ...

Data Engineer

Hurlburt Field, FL · On-site

$73K - $175K/yr

Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service ... Engineering. * Verifiable work experience working with data structures, database management ...

Data Engineer

Hurlburt Field, FL · On-site

$104K - $125K/yr

... Amazon Web Service (AWS). • Coordinate with stakeholders, including product, data and design ... Engineering. • Verifiable work experience working with data structures, database management ...

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 ...

Data Engineer - Manager

Orlando, 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 - Manager

Tampa, 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 ...

Lead Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Title and Summary Lead Data Engineer Overview We are seeking a Lead Data Engineer with expertise in ... such as Amazon S3, EMR, Glue, Lambda, ECS/EKS, and CloudWatch for developing, deploying, and ...

... 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 ...

Databricks Data Engineer II

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 ...

... 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 ...

Databricks Data Engineer II

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 ...

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Temporary Amazon Data Engineer information

How much do Amazon data engineers make?

Amazon data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill level. Senior roles or those with expertise in cloud platforms and big data tools may earn higher salaries, often exceeding $160,000. Compensation can also include bonuses and stock options.

Does Amazon have temporary jobs?

Amazon offers temporary jobs, including roles such as data engineers, which are often project-based or seasonal. These positions may require specific skills like data management and familiarity with cloud tools, and they typically have flexible schedules depending on the role and business needs.

What engineer makes $500,000 a year?

Senior data engineers or specialized software engineers with extensive experience, advanced skills in cloud platforms, and certifications can earn $500,000 or more annually, especially in high-demand industries or companies. Such roles often involve leadership responsibilities, complex data architecture, and working with large-scale systems.

Will Amazon pay you $28 an hour to work from home?

The pay rate for a Temporary Amazon Data Engineer can vary based on location, experience, and project requirements. While some data engineering roles at Amazon may offer around $28 an hour, actual compensation depends on the specific position and employment terms. Remote data engineering jobs often require skills in SQL, Python, and cloud platforms like AWS.

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:
AWS/ DATA Engineer

AWS/ DATA Engineer

JBS Technologies

Coral Springs, FL • On-site

$109K - $130K/yr

Other

Posted 3 days ago

New


Job description

W2 Role... No C2C resumes

AWS/ DATA Engineer 

Must be Local to Coral Springs , FL 

MUST HAVES: 

  • AWS (Glue, Lambda, Redshift, S3, ECS/Fargate)
  • Python & SQL Development
  • Amazon Bedrock / GenAI Solutions
  • Data Engineering & Data Warehousing
  • Agentic AI / LLM Framework

 Responsibilities

  • Design and operate data pipelines on AWS — Glue, Step Functions, Lambda, EventBridge, S3 — feeding the Redshift data warehouse.
  • Stand up and operate containerized production pipelines on AWS Fargate / ECS (scheduled ingest or scrape, enrich, deliver) with CloudWatch alarms and health monitoring.
  • Design dimensional data models — facts, conformed dimensions, and analytics marts — on Redshift over a zero-ETL replica of the operational source.
  • Implement document-extraction pipelines using Amazon Bedrock Data Automation blueprints and deliver structured output to downstream consumers via webhook or queue.
  • Build and operate Bedrock Knowledge Bases for retrieval-augmented generation: source preparation, indexing, retrieval evaluation, and cost / latency tuning.
  • Build agents using the Strands Agents SDK on Bedrock AgentCore — supervisor / sub-agent topologies, tool definitions, and deployment hardening.
  • Build applied-LLM data products for reporting, search, and agentic operations.
  • Deploy and operate services on AWS end to end, including internal web apps and demos.
  • Build internal tooling and integrations, including MCP servers.