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Remote Amazon Data Engineer Jobs in Boca Raton, FL

Senior Site Reliability Engineer II

Boca Raton, FL ยท On-site +1

$125K - $209K/yr

... Customer Data Management. You can learn more about LexisNexis Risk at the link below, About the ... If not, this role is fully remote. We do not restrict applicants based on job site or posting ...

Senior Software Engineer IV

Hollywood, FL ยท On-site +1

$112K - $147K/yr

Senior Software Engineer IV - STARLIMS Remote, U.S.| Full Time | R&D STARLIMS provides leading ... Design and build business rules, data management, and embedded system control applications for ...

Senior Software Engineer IV

Hollywood, FL ยท Remote

$125K - $165K/yr

Senior Software Engineer IV - STARLIMS Remote, U.S.| Full Time | R&D STARLIMS provides leading ... Design and build business rules, data management, and embedded system control applications for ...

Showing results 21-40

Remote Amazon Data Engineer information

See Boca Raton, FL salary details

$42.2K

$123.1K

$168.4K

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

As of Aug 18, 2026, the average yearly pay for remote amazon data engineer in Boca Raton, FL is $123,096.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,700.00 and $130,500.00 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 popular job titles related to Remote Amazon Data Engineer jobs in Boca Raton, FL?

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

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

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

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

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

Senior Site Reliability Engineer II

Lexisnexis Risk Solutions

Boca Raton, FL โ€ข On-site, Remote

$125K - $209K/yr

Full-time

Re-posted 14 days ago


Job description

About the Business:

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com

About the Role:

We are hiring a hands-on Senior Site Reliability Engineer (SRE) to actively build, operate, and improve the reliability of our production systems. This is not a purely advisory role you will be directly involved in designing infrastructure, writing Terraform, improving observability, and responding to real production incidents.

If you live near one of our offices, you may work a hybrid schedule. If not, this role is fully remote. We do not restrict applicants based on job site or posting location.

Job Title: Senior Site Reliability Engineer (SRE)

Location: Open (U.S.-based). No job site restrictions.
Work Model: Hybrid (if near an office) or Fully Remote
Employment Type: Full-time
Department: Engineering / Infrastructure

What You'll Do
  • Design, build, and operate highly available, scalable systems in AWS

  • Write, maintain, and review Terraform to provision and manage infrastructure

  • Own and improve monitoring, alerting, and observability using Grafana, Pingdom, and Uptrends

  • Participate in a rotating on-call schedule, responding to production incidents and driving issues to resolution

  • Lead incident response, root cause analysis, and post-incident reviews with a focus on prevention and automation

  • Define and manage SLOs, SLIs, and error budgets

  • Build and improve CI/CD pipelines and operational workflows using Azure DevOps and GitHub

  • Work directly with application teams to improve reliability, performance, and deployability

  • Automate manual operational tasks to reduce toil

  • Maintain clear, actionable runbooks and documentation in Confluence

  • Track work, incidents, and operational improvements using Jira and ServiceNow

  • Mentor other engineers and help set SRE standards and best practices

Required Qualifications
  • 5+ years of hands-on experience in SRE, DevOps, or Infrastructure Engineering roles

  • Strong production experience in AWS

  • Required: Significant hands-on experience with Terraform in real-world environments

  • Experience operating monitoring and uptime platforms such as Grafana, Pingdom, and Uptrends

  • Strong Linux systems, networking, and troubleshooting skills

  • Experience supporting production systems through incident response and on-call rotations

  • Proficiency with GitHub and modern Git workflows

  • Experience building or maintaining CI/CD pipelines with Azure DevOps

  • Familiarity with ITSM and incident workflows using ServiceNow

  • Strong written communication skills with experience documenting systems and processes in Confluence

  • Ability to work independently in a remote or hybrid environment

Preferred Qualifications
  • Experience defining and operating against SLOs and error budgets

  • Infrastructure-as-Code best practices beyond Terraform (modules, testing, CI integration)

  • Experience with containers and orchestration (Docker, Kubernetes)

  • Experience supporting large-scale, high-availability production systems

  • Prior experience mentoring engineers or serving as a technical lead

What We Offer
  • Competitive salary and comprehensive benefits

  • Flexible work location with hybrid or fully remote options

  • Real ownership of production systems and reliability outcomes

  • A culture that values automation, learning, and continuous improvement

U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. Base Pay Range for CO is $104,900 - $174,700. Base Pay Range for IL is $110,100 - $183,500. Base Pay Range for Chicago, IL is $115,400 - $192,200. Base Pay Range for MD is $110,100 - $183,500. Base Pay Range for NY is $115,400 - $192,200. Base Pay Range for New York City is $125,900 - $209,700. Base Pay Range for Rochester, NY is $104,900 - $174,700. Base Pay Range for OH is $99,700 - $166,000. Base Pay Range for NJ is $123,816- $197,784. This job is eligible for an annual incentive bonus. Application deadline is 08/24/2026.

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