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Remote Amazon Data Engineer Jobs in Florida (NOW HIRING)

Data Engineer

Fort Walton Beach, FL · Remote

$79K - $134K/yr

Provide technical support for Amazon Redshift, including troubleshooting, performance optimization ... Experience with agile development methodologies such as Scrum or Kanban #LI-DM2 #LI-Remote Pay ...

Data Engineer

Fort Walton Beach, FL · Remote

$79K - $134K/yr

Provide technical support for Amazon Redshift, including troubleshooting, performance optimization ... Experience with agile development methodologies such as Scrum or Kanban #LI-DM2 #LI-Remote Pay ...

Lead Data Engineer

Tallahassee, FL · Remote

$108K - $130K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Amazon Kinesis, Qlik Replicate, Snow pipe Streaming, or equivalent platforms. * Experience ...

Lead Data Engineer

Tallahassee, FL · Remote

$108K - $130K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Amazon Kinesis, Qlik Replicate, Snow pipe Streaming, or equivalent platforms. * Experience ...

Senior Data Engineer

Tallahassee, FL · Remote

$100K - $136K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Amazon Kinesis, Apache Flink, Qlik Replicate, Snow pipe Streaming, or equivalent platforms.

Senior Data Engineer

Tallahassee, FL · Remote

$100K - $136K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Amazon Kinesis, Apache Flink, Qlik Replicate, Snow pipe Streaming, or equivalent platforms.

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud Data Engineer to join our global client's growing team of data experts. This is 100 REMOTE and a ...

Data Engineer II

Tallahassee, FL · On-site +1

$108K - $130K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas. We are seeking a motivated Data Engineer II to join our Data Platform ...

Data Engineer II

Tallahassee, FL · On-site +1

$108K - $130K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas. We are seeking a motivated Data Engineer II to join our Data Platform ...

Data Engineer (BI)

Tampa, FL · Remote

$108K - $129K/yr

Bridgeway is seeking a Data Engineer (BI) to design, develop, and maintain our data warehouse ... This is a remote position with occasional travel. Preference given to East Coast candidates. Key ...

Data Engineer

Florida City, FL · Remote

$105K - $126K/yr

Support data engineering execution across complex application development initiatives, ensuring ... Environment * US-based remote working within PT/ET time zones with the potential for occasional ...

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 ...

Lead, Data Engineer

Melbourne, FL · Remote

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... Data Engineer with experience in managing enterprise-level data life cycle processes. This role ...

Lead, Data Engineer

Tallahassee, FL · Remote

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... Data Engineer with experience in managing enterprise-level data life cycle processes. This role ...

Data Engineer, Senior

Tampa, FL · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247170 Location: Tampa,FL,US Share job via: Share Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

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Showing results 1-20

Remote Amazon Data Engineer information

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 Florida?

The most popular types of Amazon Data Engineer jobs in Florida are:

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

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

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

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

Infographic showing various Remote Amazon Data Engineer job openings in Florida as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Data Engineer

Fort Walton Beach, FL • Remote

BAE Systems
National Security and International Affairs • 10K+ employees

$79K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


BAE Systems rating

8.4

Company rating: 8.4 out of 10

Based on 151 frontline employees who took The Breakroom Quiz


Job description

Job Description
We are seeking an experienced Data Engineer to design, build, and maintain large-scale data warehouses, ETL pipelines, and AI/ML models that drive data-driven decision-making. The successful candidate will have a strong background in data warehousing, ETL, and AI/ML, with experience in working with various tools.
Key Responsibilities:
  • Design and implement data pipelines to ingest, extract, transform, load (ETL) data and store large data sets from various sources
  • Build and maintain data warehouses, including data modeling, data governance, and data quality
  • Ensure data quality, integrity, and security by implementing data validation, data cleansing, and data governance policies
  • Optimize data systems for performance, scalability, and reliability
  • Collaborate with customers to understand their technical requirements and provide guidance on best practices for using Amazon Redshift
  • Work with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver data solutions
  • Provide technical support for Amazon Redshift, including troubleshooting, performance optimization, and data modeling
  • Integrate AI/ML models with ETL pipelines and data warehouses to enable predictive analytics and machine learning
  • Develop and deploy AI/ML models using popular frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Work with data scientists to develop and deploy data-driven products and features
  • Identify and resolve data-related issues, including data pipeline failures, data quality issues, and performance bottlenecks
  • Develop technical documentation and knowledge base articles to help customers and AWS engineers troubleshoot common issues

Required Education, Experience, & Skills
  • Bachelor's or Master's degree in Computer Science or a related field, with at least 6 years of experience in Information Technology, or equivalent combination of education and work experience.
  • Proficiency in one or more programming languages (e.g., Python, Java, Scala)
  • 6+ years of experience in data engineering, with a focus on designing and implementing large-scale data systems
  • 5 + years of hands-on experience in writing complex, highly optimized queries across large data sets using AWS Redshift, Oracle and SQL Server.
  • 5 + years of hands-on experience using AWS Glue, python/spark to build ETL pipelines in a production setting, including writing test cases
  • Strong understanding of database design principles, data modeling, and data governance
  • Proficiency in SQL, including query optimization, indexing, and performance tuning
  • Experience with data warehousing concepts, including star and snowflake schemas
  • Strong analytical and problem-solving skills, with the ability to break down complex problems into manageable components
  • Experience with data storage solutions such as relational databases (Oracle, SQL Server), NoSQL databases and cloud-based data warehouses (Redshift)
  • Experience with data processing frameworks such as Apache Kafka, Fivetran
  • Experience in building ETL pipelines using AWS Glue, Apache Airflow, and programming languages including Python and PySpark
  • Understanding of data quality and governance principles and best practices
  • Experience with AWS services and best practices
Soft Skills:
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
  • Strong problem-solving and analytical skills, with the ability to break down complex problems into manageable components
  • Ability to work in a fast-paced environment and adapt to changing priorities
  • Strong attention to detail and ability to maintain high-quality documentation
  • Commitment to continuous learning and professional development

Preferred Education, Experience, & Skills
  • Experience with Dataiku
  • Experience with building reports using PowerBI and Tableau
  • Familiarity with agile development methodologies and version control systems such as Git
  • Certification in data warehousing, ETL, or AI/ML (e.g., Certified Data Warehouse Architect, Certified ETL Developer)
  • Experience with agile development methodologies such as Scrum or Kanban
#LI-DM2
#LI-Remote
Pay Information
Full-Time Salary Range: $79370 - $134929
Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.
Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.
About BAE Systems, Inc.
BAE Systems, Inc. is a defense, aerospace, and security company headquartered in Falls Church, Virginia, with more than 40,000 employees worldwide. We serve, supply, and protect those who protect us. As one of the most geographically diverse international defense companies, we deliver a full range of products and services spanning air, land, maritime, space, and cyber, including advanced electronics, intelligence solutions, and dedicated customer support.
Our culture is performance-driven and values-led, built on curiosity, creativity, and collaboration. Purpose isn't a tagline here. It's what drives us. We're developing breakthrough technologies that defend national security and make a lasting impact on our communities and our planet. When you join BAE Systems, you're not just building a career. You're contributing to a mission that truly matters.
This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.

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About BAE Systems

Sourced by ZipRecruiter

At BAE Systems, we provide some of the world's most advanced, technology-led defence, aerospace and security solutions. We employ a skilled workforce of more than 93,000 in around 40 countries. Working with customers and local partners, we develop, engineer, manufacture, and support products and systems to deliver military capability, protect national security and people, and keep critical information and infrastructure secure.

Industry

National security and international affairs and it services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US