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Remote Amazon Data Engineer Jobs (NOW HIRING)

Protagona

Data Engineer

Dallas, TX · Remote

As a Data Engineer, you will be part of a talented team of engineers responsible for the deployment ... Amazon RDS, Cassandra, Snowflake, PostgreSQL, Databricks, etc.) * Experience in the design and ...

Magpie Health Analytics

Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

We are seeking a Data Engineer to support the development of cloud-native data solutions that ... Experience with Snowflake, Amazon RDS, or other cloud-native data warehouses. * Familiarity with ...

Magpie Health Analytics

Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

We are seeking a Data Engineer to support the development of cloud-native data solutions that ... Experience with Snowflake, Amazon RDS, or other cloud-native data warehouses. * Familiarity with ...

Prometheus Federal Services

Data Engineer

Fairfax, VA · On-site +1

$130K - $155K/yr

The Data Engineer will collaborate with developers, data scientists, and program stakeholders to ... Amazon or Azure cloud certifications Compensation & Benefits PFS offers a benefits package that may ...

Prometheus Federal Services

Data Engineer

Fairfax, VA · Remote

The Data Engineer will collaborate with developers, data scientists, and program stakeholders to ... Amazon or Azure cloud certifications Compensation & Benefits PFS offers a benefits package that may ...

Dtn

Sr. Data Engineer

$117K - $140K/yr

Architect and manage high-throughput event streaming solutions utilizing Apache Kafka and Amazon ... Remote work model (position dependent) * Competitive Medical, Dental and Vision Insurance Plans ...

DTN

Sr. Data Engineer

$117K - $140K/yr

Architect and manage high-throughput event streaming solutions utilizing Apache Kafka and Amazon ... Remote work model (position dependent) * Competitive Medical, Dental and Vision Insurance Plans ...

Noblesoft Technologies

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:

Noblesoft Technologies

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:

Navtech, Inc.

URGENT NEED - Data Engineer ___ REMOTE

$117K - $140K/yr

I have an opportunity for " Data Engineer ___ REMOTE" and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated resume or if you could refer ...

Addison Group

Data Engineer

Oklahoma City, OK · Remote

$50 - $65/hr

Data Engineer Industry: Energy / Utilities Location (city, state): Oklahoma City, OK Assignment ... Remote candidates will be considered, with preference for local candidates who can work a hybrid ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Location: Remote Project Duration: 6-12 months Responsibilities: * Analysis, design, coding, performance tuning, and implementation of new data warehousing solutions. * Evaluation ...

First Citizens Bank

Senior Data Engineer

Carolina, RI · Remote

$106K - $144K/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.

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Remote Amazon Data Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Sep 11, 2026, the average yearly pay for remote amazon data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 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.
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Remote Amazon Data Engineer jobs near you
Infographic showing various Remote Amazon Data Engineer job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Dallas, TX • Remote

Protagona
See more jobs at Protagonaexternal

Full-time

Medical, Dental, Vision, PTO

Re-posted 15 days ago

Job description

As a Data Engineer, you will be part of a talented team of engineers responsible for the deployment and configuration of cloud resources to meet individual client business needs in AWS. Client engagements cover a wide variety of business requirements and require our engineers to adapt quickly and stay on top of recent cloud technology trends. Candidates should be able to identify and remediate issues within cloud-based systems, based on their knowledge of industry standards and best practices.
Responsibilities
  • Work with the team to evaluate business needs and priorities, liaise with key business partners and address team needs related to data systems and management 
  • Translate business requirements into technical specifications; establish and define details, definitions, and requirements of applications, components and enhancements
  • Participate in project planning; identifying milestones, deliverables and resource requirements; tracks activities and task execution
  • Generate design, development, test plans, detailed functional specifications documents, user interface design, and process flow charts for execution of programming
  • Develop data pipelines / APIs using a variety of tools, including but not limited to Python, SQL, Spark and various AWS services
  • Use an analytical, data-driven approach to drive a deep understanding of fast changing business 
  • Build large-scale batch and real-time data pipelines with data processing frameworks in AWS
  • Moving data from on-prem to cloud and cloud data conversions
Desired Skills & Experience
  • Experience in data engineering with an emphasis on data pipelines, analytics and reporting
  • Exposure to the AWS Cloud Platform
  • Experience in SQL, data transformations, and troubleshooting across at least one database Platform (Redshift, Amazon RDS, Cassandra, Snowflake, PostgreSQL, Databricks, etc.)
  • Experience in the design and build of data extraction, transformation, and loading processes by writing custom data pipelines
  • Experience in a scripting languages such as Python
  • Experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc.
Nice to Haves
  • AWS Certification - Solutions Architect Pro or Data Specialty
  • Machine Learning experience
  • Advanced GenAI experience


Compensation:
The expected base salary range for this position is $115,000 – $130,000 USD annually, plus eligibility for an annual performance bonus.

Actual compensation will depend on experience, skill set, and location.

Benefits:
We offer a comprehensive benefits package that includes medical, dental, and vision coverage, and paid time off.

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