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

Senior Data Engineer - REMOTE

Sunrise, FL ยท On-site +1

$99.10K - $134.60K/yr

Senior Data Engineer - Direct Hire - 100% Remote - Will not support Corp to Corp candidates Our Florida based healthcare client is seeking a highly skilled Senior Data Engineer to lead the next phase ...

Azure Cloud Data Engineer

Weston, FL ยท Remote

$108.90K - $130.80K/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 ...

Sr Data Engineer

Plantation, FL ยท Remote

$109.10K - $131K/yr

PRIMARY FUNCTION The Senior Data Engineer is responsible for architecting and implementing reliable ... TYPICAL WORKING CONDITIONS โ€ข Full time remote/telework OTHER PHYSICAL REQUIREMENTS โ€ข Vision โ€ข ...

Sr Data Engineer

Plantation, FL ยท Remote

$113.70K - $136.60K/yr

PRIMARY FUNCTION The Senior Data Engineer is responsible for architecting and implementing reliable ... TYPICAL WORKING CONDITIONS โ€ข Full time remote/telework OTHER PHYSICAL REQUIREMENTS โ€ข Vision โ€ข ...

Data Engineer II

Miami, FL ยท On-site +1

$109.50K - $131.50K/yr

Data Engineer Opportunity Our client has a one year + contract role for a Data Engineer in Miami ... This is a remote role at this time but will require hybrid work in Miami, Florida by end of this ...

... 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.

Cloud Platform Engineer

Miami, FL ยท Remote

$53.25 - $71.25/hr

Miami, FL (4 days onsite 1 day remote) Type: 6 month contract Notes: * 5+ years of experience in a ... Implement and manage containerized workloads in Amazon Elastic Kubernetes Service (EKS) utilizing ...

Cloud Platform Engineer

Boca Raton, FL ยท Remote

$52.75 - $70.50/hr

Miami, FL (4 days onsite 1 day remote) Type: 6 month contract Notes * 5+ years of experience in a ... Implement and manage containerized workloads in Amazon Elastic Kubernetes Service (EKS) utilizing ...

Experience working with Shopify, Amazon, and SPINS Data * Experience working with Airbyte ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

Experience working with Shopify, Amazon, and SPINS Data * Experience working with Airbyte ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

Data Protection Engineer

Miami, FL ยท On-site +1

$109.50K - $131.50K/yr

Overview The Data Protection Engineer (DPE) is responsible for designing, implementing, and ... This role can be remote anywhere in the country. The salary range for this role is $130,000 to $175 ...

... data engineering could directly shape how the world's most advanced AI systems reason and solve ... This is a fully remote, flexible contract role. No prior AI industry experience needed - just deep ...

We have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located ... Partner with Data Engineering to: - define financial data requirements, - validate pipelines and ...

Staff Software Engineer, Data Platform

Miami, FL ยท Remote

$195K - $257.50K/yr

Data Platform Engineering Team Circle is committed to visibility and stability in everything we do ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

We have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located ... Partner with Data Engineering to: define financial data requirements, validate pipelines and ...

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Remote Amazon Data Engineer information

See Sunrise, FL salary details

$42.4K

$123.7K

$169.3K

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

As of May 28, 2026, the average yearly pay for remote amazon data engineer in Sunrise, FL is $123,702.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $131,100.00 per year, depending on experience, location, and employer.

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 popular job titles related to Remote Amazon Data Engineer jobs in Sunrise, FL? For Remote Amazon Data Engineer jobs in Sunrise, FL, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Data Engineer jobs in Sunrise, FL look for? The top searched job categories for Remote Amazon Data Engineer jobs in Sunrise, FL are:
What cities near Sunrise, FL are hiring for Remote Amazon Data Engineer jobs? Cities near Sunrise, FL with the most Remote Amazon Data Engineer job openings:
Infographic showing various Remote Amazon Data Engineer job openings in Sunrise, FL as of May 2026, with employment types broken down into 1% Internship, 83% Full Time, 6% Part Time, 9% Contract, and 1% Nights. Highlights an 93% Physical, 6% Hybrid, and 1% Remote job distribution, with an average salary of $123,702 per year, or $59.5 per hour.
Senior Data Engineer - REMOTE

Senior Data Engineer - REMOTE

BravoTech

Sunrise, FL โ€ข On-site, Remote

$99.10K - $134.60K/yr

Full-time

Posted 11 days ago


Job description

Job Description
Senior Data Engineer
- Direct Hire
- 100% Remote
- Will not support Corp to Corp candidates
Our Florida based healthcare client is seeking a highly skilled Senior Data Engineer to lead the next phase in the evolution of their data environment - from pipelines to platform. In this role, you will build the infrastructure that powers everything from customer insights to financial reporting and self-serve analytics. The ideal candidate will have a strong technical background and a vision for what is possible.
As a Senior Data Engineer, you will play a critical role in ensuring our client's data is ready to meet the needs of internal and external stakeholders. You will act as architect for data warehouse and data pipeline design, working with Product, Engineering, and Data Analytics teams to build a reliable and performant data platform.
Job Responsibilities
  • Design and implement scalable data pipelines and platform components, leveraging tools such as Databricks, Airflow, and AWS Aurora.
  • Partner with Product and Engineering to build scalable systems that help unlock the value of data from a wide range of sources such as backend databases and marketing platforms.
  • Lead technical vision and architecture with a holistic point of view on both short-term and long-term horizons.
  • Define and implement data quality frameworks and monitoring systems to ensure ongoing trust in data assets. Enable real-time data presentation to facilitate management of a world-wide workforce.
  • Enable external use cases like customer-facing dashboards, self-serve analytics, and bulk data transfer.
  • Devise migration strategies to ensure data integrity and minimize downtime.
  • Define data quality frameworks to measure and monitor data quality across the enterprise.
  • Implement and maintain robust security measures to protect sensitive data. Ensure compliance with relevant data privacy regulations.
  • Collaborate with technical leadership and contribute to the evolution of data engineering best practices.
  • Serve as a subject matter expert on data engineering technologies, including Databricks, Airflow, and AWS Aurora. Provide guidance and support to development teams on data engineering best practices to ensure efficient data access and integration.
  • Collaborate with database engineers, data analysts, and application developers to understand data requirements and ensure data platform alignment.
  • Stay up to date with the latest data engineering technologies and trends.
  • Preferred: Candidates who demonstrate strong cross-functional communication skills and an interest in developing into leadership roles over time.

Job Requirements
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Minimum of 5 years of experience as a Data Engineer.
  • Proven experience in data warehouse design, implementation, and maintenance using Databricks (Delta Lake, Autoloader, Unity Catalog, Jobs) and dbt.
  • Python + SQL (Spark) development experience.
  • Knowledge of data pipeline tools like Apache Airflow and Kafka (MSK).
  • Experience working with AWS cloud infrastructure, including S3, IAM/KMS, Aurora Postgres and RDS Postgres.
  • Postgres DBA depth: query tuning, autovacuum/fillfactor, EXPLAIN, Liquidbase familiarity.
  • Proficient with BI tools like Sisense, Power BI, or Tableau
  • Real-time ETL - Kafka streaming, (MSK/SQS)
  • Comfortable standardizing metrics and enabling trusted, consistent access to data
  • Excellent problem-solving and troubleshooting skills.
  • Strong communication and interpersonal skills.
  • Ability to work independently and as part of a team.
  • Preferred - Experience in a highly regulated industry (healthcare, banking, etc.)
  • Preferred - Experience with database performance tuning and optimization techniques.
  • Preferred - Knowledge of scripting languages (e.g., Python, PowerShell).
  • Preferred - Familiarity with Salesforce and its data structures.

Meet Your Recruiter
Perry Gross
Text me about this job - 972-419-1628
Please include your name and Job Title in your Text.
Thanks!
  • 972-419-1628
  • pgross@bravotech.com