ZipRecruiter

Log In

1

Amazon Data Engineer Jobs in Miami, FL (NOW HIRING)

Amazon

Sr. Product Manager, Amazon Fuse and MBD

Miami, FL · On-site

$121K - $159K/yr

... engineering to build and ship, measure outcomes against success metrics, operate and iterate post ... In any given week, you might be analyzing funnel data to identify drop-off points, brainstorming ...

Deloitte

Lead Forward Deployed Engineer - AWS

Miami, FL

$98K - $129K/yr

... AI&Data including hands on experience with one of the following key platforms/products: Amazon ... Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ...

Deloitte

Senior Forward Deployed Engineer- AWS

Miami, FL

$99K - $137K/yr

... AI&Data including hands on experience with one of the following key platforms/products: Amazon ... Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ...

Deloitte

Forward Deployed Engineer- AWS

Miami, FL · On-site

... AI&Data including hands on experience with one of the following key platforms/products: Amazon ... Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ...

Trax USA Corp

Data Scientist - Airvoyant

Miami, FL · On-site

You will work cross-functionally with product, engineering, marketing, and business leaders to ... Hands-on experience with Amazon Redshift for data warehousing, high-performance querying, and large ...

next page

Showing results 1-20

All JobsAmazon Data Engineer JobsAmazon Data Engineer Jobs in Miami, FL

Amazon Data Engineer information

See Miami, FL salary details

$42.5K

$123.9K

$169.5K

How much do amazon data engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for amazon data engineer in Miami, FL is $123,871.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $131,300.00 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 Miami, FL?

The most popular types of Amazon Data Engineer jobs in Miami, FL are:

What are popular job titles related to Amazon Data Engineer jobs in Miami, FL?

For Amazon Data Engineer jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Amazon Data Engineer jobs in Miami, FL look for?

The top searched job categories for Amazon Data Engineer jobs in Miami, FL are:

What cities near Miami, FL are hiring for Amazon Data Engineer jobs?

Cities near Miami, FL with the most Amazon Data Engineer job openings:

Amazon Data Engineer jobs near you
Infographic showing various Amazon Data Engineer job openings in Miami, FL as of August 2026, with employment types broken down into 65% Full Time, and 35% Contract. Highlights an 86% In-person, 5% Hybrid, and 9% Remote job distribution, with an average salary of $123,871 per year, or $59.6 per hour.

AWS Glue / Snowflake Data Engineers

Expert Technology Services

Doral, FL • On-site

$105K - $127K/yr

Contractor

Posted 6 days ago

Job description

Job Summary (List Format) – Senior Data Engineer (AWS Glue and Snowflake Specialist):
- Lead the integration of AWS cloud-native infrastructure with Snowflake data warehouse.
- Design, build, and maintain robust, scalable ETL/ELT data pipelines.
- Develop high-performance data processing layers to support business intelligence and advanced analytics.
- Optimize and tune data solutions for performance and scalability.
- Implement and manage data pipelines using AWS Glue, Snowflake, and other cloud data platforms.
- Collaborate with stakeholders to support data-driven decision-making across the organization.
- Utilize advanced SQL for data modeling, querying, and optimization.
- Work with PostgreSQL, Amazon DocumentDB, and related technologies.
- Ensure best practices in ETL/ELT development and cloud-native solution implementation.
- Apply Agile methodologies to deliver high-quality data solutions.