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Remote Amazon Data Engineer Jobs in Florida (NOW HIRING)

Senior Data Engineer

Orlando, FL · Remote

$99K - $134.40K/yr

Senior Data Engineer Software Resources has an immediate, contract job opportunity for a Senior ... Onsite M-Th, and remote on Fridays. Must haves: (no exceptions) * Tech Stack: Heavy Snowflake/SQL ...

Lead, Data Engineer

Tallahassee, FL · On-site +1

$125K - $232K/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

Melbourne, FL · On-site +1

$125K - $232K/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 - Healthcare

Tallahassee, FL · Remote

$99.20K - $119.20K/yr

Become a part of our caring community The Data Engineer 2 will develop scalable data processing ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Staff Software Engineer - Data Platform

Tampa, FL · On-site +1

$217.57K - $260K/yr

Staff Data Engineer (SDE-V) ID.me is seeking a Staff Data Engineer (SDE-V) to lead the design ... Certain roles -- such as field-based sales or other remote-by-design positions -- may have ...

Senior, Data Engineer

Jacksonville, FL · Remote

$140K - $160K/yr

Come join our amazing team and work remote from home! What you'll do: Under direct supervision ... Proficiency in programming languages is commonly used in data engineering, such as Python or Java ...

AI Data Architect

Tallahassee, FL · On-site +1

$83.20K - $178.80K/yr

You will bridge advanced data engineering, governance, and AI/ML model lifecycle requirements to ... However, the remote location must within the US. How you'll spend your time: * Define and implement ...

... remote client service delivery. Recruiting for this role ends on 06/30/2026 ... Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for.

... remote client service delivery. Recruiting for this role ends on 06/30/2026 ... Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for.

... remote client service delivery. Recruiting for this role ends on 06/30/2026 ... Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for.

... remote client service delivery. Recruiting for this role ends on 06/30/2026 ... Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for.

... remote client service delivery. Recruiting for this role ends on 06/30/2026 ... Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for.

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Remote Amazon Data Engineer information

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 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 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.

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:

$93.30K - $122.90K/yr

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This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Lead Data Engineer
Location- Remote (EST)
Contract: 6+ months Ongoing (possible contract to hire/must be eligible for conversion)
Summary:
As a Lead Data Engineer, you will play a critical role in designing, developing, and maintaining our data infrastructure. You will be responsible for data integration, migration, and analysis using a variety of Microsoft technologies. This role requires a deep understanding of Azure Data Factory, Logic Apps, Azure Service Bus, Databricks, and advanced SQL and Python . You will work closely with the Data Lead and Technical Analyst to translate business requirements into technical solutions and ensure the seamless flow of data across our systems.
Key Responsibilities:
* Lead Data Engineer will design, develop, and maintain data pipelines using Azure Data Factory, Logic Apps, and Azure Service Bus
* Implement and manage Databricks for advanced data processing and analytics
* Develop complex SQL queries and stored procedures for data extraction, transformation, and loading (ETL)
* Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications
* Ensure data quality and integrity across various data sources and systems
* Manage data integrations and migrations between diverse systems, ensuring minimal disruption to business operations
* As a Lead Data Engineer, you will utilize Azure CI/CD pipelines for continuous integration and delivery of data solutions
* Create and maintain data workflows using Power Automate
* Conduct data analysis to support business decision-making processes
* Work independently and as part of a team to deliver high-quality data solutions
* Communicate effectively with stakeholders to understand their data needs and provide technical guidance