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

Senior Software Engineer (Remote)

Miami, FL · Remote

$125K - $165K/yr

Work with SQL (PostgreSQL): data modeling, migrations, and consistency guarantees * Take full ... the Engineering Manager. No direct people management responsibilities. Location Remote. USA ...

Senior Software Engineer (Remote)

Miami, FL · On-site +1

$117K - $154K/yr

Work with SQL (PostgreSQL): data modeling, migrations, and consistency guarantees * Take full ... the Engineering Manager. No direct people management responsibilities. Location Remote. USA ...

Ability to read and write basic SQL queries for data investigation * Ability to inspect application ... Previous engineering experience (QA, developer, or similar) is a strong plus * Experience working ...

Ability to read and write basic SQL queries for data investigation * Ability to inspect application ... Previous engineering experience (QA, developer, or similar) is a strong plus * Experience working ...

Senior Software Engineer (Remote)

Miami, FL · Remote

$117K - $154K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Work with data technologies such as PostgreSQL, MySQL, and Redis to support reliable, scalable ...

Data Scientist

Miami, FL · On-site +1

... and software engineering. Identifies patterns and looks for opportunities for optimization ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Proficiency in programming languages such as Python or R * Experience working with large datasets ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

Mental Health Expert - Remote

Miami, FL · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ...

PowerPoint Expert - Remote

Miami, FL · Remote

$30 - $50/hr

Use prompt engineering and AI tools to test and improve model performance. * Collaborate with ... Experience with financial modeling, data analysis, reporting, and executive presentations. * Strong ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Word Expert - Remote

Miami, FL · Remote

$30 - $50/hr

Use prompt engineering and AI tools to test and improve model performance. * Collaborate with ... Experience with financial modeling, data analysis, reporting, and executive presentations. * Strong ...

Excel Expert - Remote

Miami, FL · Remote

$30 - $50/hr

Use prompt engineering and AI tools to test and improve model performance. * Collaborate with ... Experience with financial modeling, data analysis, reporting, and executive presentations. * Strong ...

Showing results 41-60

Remote Amazon Data Engineer information

See Miami, FL salary details

$42.6K

$124.1K

$169.8K

How much do remote amazon data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for remote amazon data engineer in Miami, FL is $124,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What does a remote Amazon data engineer do?

A Remote Amazon Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases for Amazon or companies using Amazon Web Services (AWS). They work remotely to process large volumes of data, ensure data quality, and enable efficient data analysis. Their tasks typically include extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytics platforms. They often use AWS tools such as Redshift, Glue, S3, and Lambda to manage infrastructure and automate workflows. Strong programming skills in languages like Python or SQL are essential for this role.

What are the key skills and qualifications needed to thrive as a remote Amazon data engineer, and why are they important?

To thrive as a Remote Amazon Data Engineer, you need strong expertise in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, S3, Glue, and data pipeline tools, as well as certifications such as AWS Certified Data Analytics, are highly valued. Excellent problem-solving, communication, and self-management skills help remote engineers collaborate effectively and deliver reliable data solutions. These abilities are crucial for ensuring robust, scalable data infrastructure and supporting data-driven decision-making in a distributed work environment.

What are some common challenges faced by remote Amazon data engineers, and how can they be addressed?

Remote Amazon Data Engineers often encounter challenges related to collaborating across time zones and ensuring clear communication with global teams. Effective use of collaboration tools, regular virtual meetings, and clear documentation can help bridge these gaps. Additionally, managing large-scale data pipelines on AWS requires staying updated on best practices for security, scalability, and cost optimization. Proactively participating in team stand-ups and engaging in continuous learning about AWS services can significantly enhance productivity and project outcomes.

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

AspectRemote Amazon Data EngineerRemote Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing ETL processesInterpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, e-commerce, cloud servicesRetail, marketing, e-commerce
Common Search & ComparisonFocus on data infrastructure and pipelinesFocus on data insights and reporting

The main difference between a Remote Amazon Data Engineer and a Remote Amazon Data Analyst lies in their roles. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data to generate insights, focusing on analysis and reporting. Both roles are essential in data-driven companies but serve different functions within the data ecosystem.

Can I work remotely as a remote amazon data engineer?

Yes, many Amazon Data Engineer roles are available as remote positions, allowing professionals to work from home or other locations. These roles typically require strong skills in data pipelines, cloud platforms like AWS, and relevant certifications, with companies often providing remote work options depending on the team and project needs.

How much do remote Amazon data engineers make?

Remote Amazon data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill set. Salaries can vary based on factors such as certifications, expertise in tools like AWS and Spark, and the level of seniority in the role.

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

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

Senior Python / Machine Learning Engineer - Ft Lauderdale

Fort Lauderdale, FL • On-site, Remote

$45 - $50/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago


Job description

Summary

The role of the Senior Python Engineer is to design, develop, and deploy machine learning solutions that transform data into actionable insights, while ensuring scalability, performance, and integration into production systems. This role focuses on building and operationalizing machine learning models, supporting end-to-end data workflows, and integrating AI capabilities into broader application ecosystems. The individual will work closely with engineering and data teams to deliver reliable, production-ready solutions.

Key Responsibilities

  • Develop and maintain machine learning models using Python, leveraging techniques such as regression, classification, clustering, and ensemble methods
  • Design and deploy scalable AI/ML solutions utilizing deep learning frameworks (e.g., TensorFlow, PyTorch, Keras)
  • Perform data preparation activities including cleansing, transformation, and feature engineering to support model accuracy
  • Evaluate model performance and iterate to improve reliability and predictive outcomes
  • Build and integrate RESTful APIs (e.g., Flask, FastAPI) to enable model consumption within applications
  • Collaborate with cross-functional teams to embed ML solutions into production environments

Required Qualifications

  • 6-8 + years of experience in Python-based development roles and AI/ML
  • Strong proficiency in Python and core data science libraries such as NumPy, Pandas, and Scikit-learn
  • Hands-on experience implementing machine learning and deep learning models in real-world applications
  • Solid understanding of data engineering concepts, including preprocessing, feature engineering, and model evaluation techniques
  • Experience working with SQL or NoSQL databases
  • Familiarity with version control systems (e.g., Git) and collaborative development practices

Additional / Preferred Skills

  • Experience deploying models into production environments
  • Familiarity with scalable ML pipelines and MLOps concepts
  • Exposure to cloud-based AI/ML services (AWS, Azure, GCP)

Location

  • This role is a Hybrid role that requires candidate to go onsite 3 days in office/2 days remote. Candidates are preferred in Fort Lauderdale, FL. Candidates must reside within the physical US. 
  • Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa currently.
  • To be considered for this position, candidates must reside in one of the following U.S. states: FL. 
  • Candidates residing outside these states are not eligible for consideration currently.  
  • Not open to 3rd party/C2C engagement

We are committed to pay equity and transparency. The compensation range for this position represents our good faith estimate of the range we reasonably expect to pay for this role at the time of posting. The actual compensation offered will be determined based on factors such as the candidate's experience, skills, education, work location, and internal equity. 

In addition to hourly pay, employees may be eligible for discretionary bonuses, commissions, or other incentive programs, as well as a comprehensive benefits package that includes medical, dental, vision, 401(k), paid time off, etc. 

Estimated hourly Compensation Range:
$45—$50 USD

FormativGroup operates within the critical middle layer of business technology, where applications and systems connect infrastructure to business processes. We are specialists who help the middle market take full advantage of their technology investments with deep, industry-centric expertise, all in one place, to unify fragmented systems. With deep technical expertise across cloud architecture, system integration, AI, and data strategy, we bridge the gap between business goals and modern platforms.  

FormativGroup is an equal opportunity employer providing opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

ADA Specifications: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. 

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