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Remote Amazon Data Engineer Jobs (NOW HIRING)

Senior Data Engineer

$117K - $146K/yr

... Amazon Agent Core) and Azure DevOps * Builds APIs and file upload mechanisms for client data ... All full-time positions are hybrid, with many eligible to be completely remote * Fully Paid by ...

Data Engineer

$100K - $115K/yr

The Data Engineer is a full-time, remote, exempt position and reports to the Sr. Director, Data Engineering & Architecture. Specific Responsibilities Data Engineering & Architecture * Build and ...

Senior Data Engineer

$117K - $146K/yr

... Amazon Agent Core) and Azure DevOps * Builds APIs and file upload mechanisms for client data ... All full-time positions are hybrid, with many eligible to be completely remote * Fully Paid by ...

Data Engineer

$117K - $140K/yr

Most of our positions are remote, providing flexibility while working on impactful federal projects. Key Skills amp; Qualifications We're Looking For: * Data Engineering amp; ETL: Experience ...

DATA ENGINEER

$117K - $140K/yr

Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads complex data engineering ...

Data Engineer

$117K - $140K/yr

Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads complex data engineering ...

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

Data Engineer Job Summary: We are seeking a skilled and motivated Data Engineer to join our growing ... Flexible work hours and remote work options. * Opportunity to work with a talented and passionate ...

Data Engineer

Emeryville, CA · Remote

$132K - $159K/yr

TITLE: DATA ENGINEER LOCATION: 100% remote Skillsets/experience: * Engineer background * Google Applications/Analytics experience required * Google Search console experience required * Google Tag ...

"DATA ENGINEER"

Cupertino, CA · Remote

$117K - $140K/yr

Remote Duration: 6 month contract Note: Client is looking for someone with experience on more of SQL and limited on Tableau. Required Skills: Data Engineering Expertise: * Experienced in building and ...

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... Flexible work environment and remote work options. Join us and be part of a team building ...

Data Engineer IV (Remote)

Spokane, WA · Remote

$115K - $139K/yr

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a team we have successfully supported for a few years. This is hands-on engineering position requiring ...

AWS Data Engineer

$117K - $140K/yr

We are seeking a seasoned Data Engineer to join our Sports Analytics & Engineering Practice. This ... Amazon Redshift * Collaborate with cross-functional teams to gather requirements and deliver ...

Showing results 41-60

Remote Amazon Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Aug 1, 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 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.
More about Remote Amazon Data Engineer jobs
What cities are hiring for Remote Amazon Data Engineer jobs? Cities with the most Remote Amazon Data Engineer job openings:
What are the most commonly searched types of Amazon Data Engineer jobs? The most popular types of Amazon Data Engineer jobs are:
What states have the most Remote Amazon Data Engineer jobs? States with the most job openings for Remote Amazon Data Engineer jobs include:
Infographic showing various Remote Amazon Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 95% Full Time, 2% Part Time, and 2% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$117K - $146K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Overview

The Senior Data Engineer plays a pivotal role within our expanding Data and AI team. This person helps build and scale our next-generation data platform, starting with our modernization initiative; transitioning from legacy ingestion processes embedded in C# .NET code to a scalable, cloud-native architecture on AWS and expanding into our Databricks analytical data platform for advanced processing and analytics. This is a highly impactful, hands-on role responsible for designing and implementing AI-assisted data pipelines and distributed systems that power data product, analytics, data science, and operational use cases.

Starting base pay for this role is between $117,000 and $146,000. The actual base pay is dependent upon many factors, such as transferable skills, work experience, business needs, training, location, and market demands. The base pay range is subject to change and may be modified in the future. This role will be eligible for a bonus as well as competitive medical, dental, and vision benefits, wellness reimbursement, life insurance, and a 401(k) with company match. We offer vacation and sick leave benefits (under a flexible time off policy in most states).

Responsibilities
  • Designs and implements scalable data-ingestion pipelines using AWS services (e.g., S3, Lambda, API Gateway, Glue, Step Functions, Amazon Bedrock, Amazon  Agent Core) and Azure DevOps
  • Builds APIs and file upload mechanisms for client data ingestion
  • Develops data mapping and transformation workflows for loading into SQL Server client databases
  • Contributes to the design and implementation of a data Lakehouse architecture leveraging Databricks
  • Enables seamless data flow from the SaaS platform to the analytical platform
  • Optimizes ETL/ELT processes for performance and reliability
  • Collaborates with analytics teams to ensure data availability and quality for reporting and machine learning use cases
  • Provides operational support for existing ingestion processes integrated into C# .NET code and UI
  • Troubleshoots and resolves data pipeline issues across environments
  • Works closely with Software Engineers, Architects, and Product teams to align data solutions with business needs
  • Implements best practices for data governance, security, and compliance in a multi-tenant environment
  • Documents architecture, workflows, and operational procedures
Qualifications
  • Bachelor's degree in Computer Science, Information Technology, or a related field required
  • 7+ years in Data Engineering or related role
  • Strong experience with AWS services for data engineering (S3, Lambda, Glue, Step Functions, API Gateway)
  • Proficiency in Python and/or C# .NET for data processing and integration
  • Hands-on experience with SQL Server and relational database concepts
  • Familiarity with Databricks, Spark, and Lakehouse architectures
  • Knowledge of ETL/ELT design patterns and data modeling
  • Experience building APIs and file-based ingestion solutions
  • Exposure to multi-tenant SaaS environments is a plus
  • Strong problem-solving and analytical skills
  • Ability to work collaboratively in a cross-functional team
  • Excellent communication and documentation skills

Preferred Qualifications:

  • Experience with CI/CD pipelines for data workflows
  • Knowledge of data governance and security best practices in cloud environments
  • Familiarity with modern data integration tools and frameworks
  • Exposure to machine learning pipelines and real-time data processing
Benefits
  • Medical and Dental coverage available for employees, dependents, domestic partners, and spouses
  • Paid Time Off - Flexible options plus 10 paid company holidays where available**
  • All full-time positions are hybrid, with many eligible to be completely remote
  • Fully Paid by Origami Risk - Vision insurance, Short & Long-Term Disability Insurance, and Basic Life Insurance
  • Generous family leave options-including adoption and foster care placements
  • Pre-Tax Savings Accounts - Flexible Spending Account, Health Savings Account, Commuter Benefits, Dependent Care Savings Account
  • Retirement Savings - 401(k) with company match up to 4%
  • Employee Assistance Program (EAP) - Confidential & Free support offered to colleagues facing personal or work-related complications
  • Education Assistance Program - to help colleagues pursue industry/role-specific certifications
  • Wellness Benefits - reimbursement program to invest in healthy habits as well as support better colleague productivity and stress management
  • Additional coverages available - Pet Insurance, Critical Illness Insurance, and Voluntary Life & AD&D coverage
**Flexible PTO not available in California or the UKWho We Are

Origami Risk delivers single-platform SaaS solutions that help organizations best navigate the complexities of risk, insurance, compliance, and safety management.

Founded by industry veterans who recognized the need for risk management technology that was more configurable, intuitive, and scalable, Origami continues to add to its innovative product offerings for managing both insurable and uninsurable risk; facilitating compliance; improving safety; and helping insurers, MGAs, TPAs, and brokers provide enhanced services that drive results.

A singular focus on client success underlies Origami's approach to developing, implementing, and supporting our award-winning software solutions. 

Origami Risk is proud to be an equal opportunity employer. We thrive and benefit from diversity and are committed to creating an inclusive and equitable environment for all employees. We do not discriminate against any individual based upon race, religion, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, color, sex, national origin, age, marital status, military or veteran status, disability, or any other characteristic protected by applicable law.

Caution: Be alert to recruiting scams. We have received reports of individuals impersonating Origami Risk recruiters to deceive candidates into disclosing personal information. These impostors use fake Origami Risk domain names and email addresses. Please double-check that any email address from an Origami Risk recruiter ends with origamirisk.com or talent.icims.com. And to confirm the legitimacy of any recruiting communication, feel free to email transparencycheck@origamirisk.com.

Employment Type: FULL_TIME