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

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Data Platform Engineer

Orlando, FL · Remote

$117K - $140K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Remote Commissioning Engineer III Company Overview At Mitsubishi Power, we're not just building ... Monitor plant operating data and alarms to identify issues proactively. * Lead troubleshooting and ...

Azure Data Engineer Associate or AWS equivalent * Oracle Certified Professional (OCP) * Oracle ... Skill using cloud platforms, including Microsoft Azure and Amazon Web Services * Skill using data ...

Senior Engineer, Remote Commissioning

Lake Mary, FL · On-site +1

$91K - $125K/yr

Senior Engineer, Remote Commissioning Company Overview At Mitsubishi Power, we're not just building ... Perform advanced diagnostics and analysis of DCS, historian, and monitoring system data across gas ...

Senior Transmission Line Engineer - REMOTE

Orlando, FL · Remote

$97K - $134K/yr

Title: Senior Transmission Line Engineer Location: Remote US Ready to make a difference? We are ... Prepare and review technical documentation such as specifications, data sheets, RFQs, bid ...

This opportunity is remote and/or hybrid-friendly that can be performed from a wide range of ... Analyze data and review project work products, including site specific technical data, engineering ...

Remote (Must be in driving distance to Orlando for Quarterly travel) Network Engineer - 12-month ... Monitor network performance and analyze data to identify bottlenecks, latency issues, and other ...

Full Stack Engineer

Orlando, FL · Remote

$130K - $170K/yr

This is a fully remote position open to candidates across the United States. Responsibilities ... Strong understanding of software engineering fundamentals -- data structures, algorithms, system ...

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Remote Amazon Data Engineer information

See Orlando, FL salary details

$41.5K

$121.1K

$165.7K

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

As of Aug 16, 2026, the average yearly pay for remote amazon data engineer in Orlando, FL is $121,092.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,900.00 and $128,400.00 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 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 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 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 the most commonly searched types of Amazon Data Engineer jobs in Orlando, FL?

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

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

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

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

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

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

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

Data Engineer - Cloud Data Platform (Snowflake & dbt)

AssistRx

Maitland, FL • Remote

$106K - $127K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

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


AssistRx rating

7.2

Company rating: 7.2 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

137th of 224 rated it services


Job description

Data Engineer - Cloud Data Platform (Snowflake & dbt) Remote Information Technology Full time Maitland, Florida, United States Description About AssistRx AssistRx transforms the patient journey through technology—helping patients access life-saving therapies faster and more efficiently. Our platform connects patients, providers, payers, and manufacturers through secure, scalable, data-driven solutions that power better decisions and better outcomes across the healthcare ecosystem. If you’re passionate about building modern data platforms, working with large-scale cloud data systems, and applying data engineering best practices in a regulated healthcare environment, we’d love to talk. Role Overview AssistRx is seeking a Senior Data Engineer to join our Cloud Data Platform (CDP | Architecture) team. This role is highly hands-on and focused on designing, building, and scaling our modern data platform—with Snowflake and dbt as core, non-negotiable technologies. You will play a critical role in shaping AssistRx’s enterprise data architecture, owning transformation logic, performance optimization, and data modeling patterns that support analytics, reporting, and downstream products across the organization. This is not an entry-level or tool-learning role. We are looking for someone who can contribute immediately in a production Snowflake + dbt environment and help set technical standards for the broader data organization. What You’ll Do Cloud Data Platform & Architecture Design, build, and optimize Snowflake-centric data architectures to support enterprise analytics, reporting, and operational use cases Own dbt transformation layers, including model design, testing, documentation, and deployment best practices Implement scalable data modeling patterns (star schemas, data vault, dimensional models) aligned to business needs Data Engineering & Pipelines Develop and maintain reliable data pipelines integrating sources such as Salesforce, application databases, and external client data Ensure data quality through validation, testing, monitoring, and observability frameworks Optimize Snowflake performance and cost through query tuning, warehouse design, and efficient data modeling Collaboration & Enablement Partner closely with Analytics, BI, Product, and Engineering teams to deliver trusted, analytics-ready datasets Contribute to architectural standards, code reviews, and best practices across the CDP team Document data flows, models, and platform decisions to support long-term scalability and knowledge sharing Governance, Security & Compliance Ensure data pipelines and models meet PHI / PII / HIPAA compliance requirements Support secure access patterns, role-based permissions, and data governance controls Requirements Required Qualifications This role requires strong, hands-on experience in the following areas: 6+ years of experience in data engineering, analytics engineering, or backend data development Advanced Snowflake expertise in a production environment (performance tuning, architecture, optimization) Strong dbt experience building and maintaining transformation layers at scale Expert-level SQL skills, including complex transformations and performance optimization Experience designing and supporting cloud-based data platforms (Snowflake preferred) Hands-on experience integrating data from SaaS platforms (e.g., Salesforce) and operational systems Familiarity with CI/CD concepts for analytics engineering (version control, deployments, testing) Strong understanding of data modeling best practices for analytics and reporting Nice to Have (Not Required) Experience in healthcare, life sciences, or regulated environments Python experience for data engineering or automation Familiarity with Azure-based data tooling (ADF, storage, compute) Exposure to BI tools such as Power BI, Tableau, or ThoughtSpot Why This Role Matters You’ll help define AssistRx’s enterprise data foundation Your work will directly impact executive decision-making, client reporting, and patient-centric solutions You’ll join a team that values clean architecture, strong engineering standards, and real ownership Benefits Supportive, progressive, fast-paced environment Competitive pay structure Matching 401(k) with immediate vesting Medical, dental, vision, life, & short-term disability insurance Opportunity to impact patient outcomes through data-driven healthcare technology. Collaborative and mission-driven culture that values innovation and continuous learning. Access to cutting-edge cloud technologies and modern data engineering tools. Competitive compensation, comprehensive benefits, and career growth opportunities AssistRx, Inc. is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non

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