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Remote Amazon Data Engineer Jobs in Raleigh, NC (NOW HIRING)

Data Engineer

Durham, NC · On-site +1

$110K - $132K/yr

Position Summary The Data Engineer sits within the Data & Analytics organization and supports the ... Office setting with remote/hybrid flexibility * Minimal travel required (occasional team meetings ...

Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

* Tier One Technologies is seeking a Data Engineer to support our US Government client with data ... SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning ...

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

Tier One Technologies is seeking a Data Engineer to support our US Government client with data ... SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning ...

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · On-site +1

$111K - $133K/yr

Tier One Technologies is seeking a Data Engineer to support our US Government client with data ... SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning ...

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

Tier One Technologies is seeking a Data Engineer to support our US Government client with data ... SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning ...

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional certification is a plus. * Bachelor Degree in ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional certification is a plus. * Bachelor Degree in ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional certification is a plus. * Bachelor Degree in ...

AI and Data Science Engineer III

Raleigh, NC · On-site +1

$111K - $133K/yr

... using Amazon Web Services, Microsoft Azure, or Google Cloud Platform for data platforms and ... AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ...

Sr. Data Engineer

Raleigh, NC · Remote

$108K - $147K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Our Data Engineering team builds and maintains the operational data foundation that powers real ...

Sr. Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Our Data Engineering team builds and maintains the operational data foundation that powers real ...

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Showing results 1-20

Remote Amazon Data Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

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

As of Jun 19, 2026, the average yearly pay for remote amazon data engineer in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

Can I work remotely as a data engineer?

Remote work is common for data engineers, including those working with companies like Amazon. Many data engineering roles involve tasks such as data pipeline development, database management, and cloud platform usage, which can often be performed remotely with the right skills and tools. However, some positions may require on-site presence for collaboration or specific project needs.

How much do Amazon data engineers make?

Amazon data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill level. Senior roles or those with expertise in cloud platforms and big data tools may earn higher salaries, often exceeding $160,000.

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.

Does Amazon hire for remote work?

Amazon offers remote work opportunities for various roles, including data engineers, depending on the position and team needs. Many remote positions require relevant skills, such as experience with cloud platforms like AWS, and may involve flexible schedules or specific technical requirements.

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 engineers make $500,000?

Senior data engineers, especially those working at large tech companies like Amazon, can earn $500,000 or more annually, including base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills in data architecture, cloud platforms, and programming, as well as a track record of impactful projects.

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 Raleigh, NC? The most popular types of Amazon Data Engineer jobs in Raleigh, NC are:
What are popular job titles related to Remote Amazon Data Engineer jobs in Raleigh, NC? For Remote Amazon Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Remote Amazon Data Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Amazon Data Engineer jobs? Cities near Raleigh, NC with the most Remote Amazon Data Engineer job openings:
Infographic showing various Remote Amazon Data Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.

$50/hr

Contractor

Posted 14 days ago


Job description

Data Analysts , Sr Data Engineers , Lead Data Architects
Remote EST Hours
DURATION
6 months+
PAY RATE
Market RATE $50 Hour 
GCP Data Architect with Clean room and retail media Analytics - Mandatory Experience 

INTERVIEW TYPE  : Video
VISA RESTRICTIONS
 
REQUIRED SKILLS
6–8 years in data engineering or analytics 
Strong SQL and Python skills 
Experience in Python, SQL, and GCP tools (BigQuery, Dataflow, Composer) 
Exposure to clean rooms and retail media analytics 
Bonus: Familiarity with Databricks, Kafka, or campaign reporting tools