ZipRecruiter

Log In

2

Remote Amazon Data Engineer Jobs (NOW HIRING)

Jobgether

$81K - $111K/yr

... in a remote environment. Accountabilities: The Senior Data Engineer will be responsible for ... Design integrations between data workflows and backend microservices running on Amazon ECS.

Shaped

Data Engineer

Brooklyn, NY · Remote

$130K - $200K/yr

Google, Amazon, Uber, Dropbox etc...). Our team comes from Meta, Google, Apple and Uber. We're a remote team but have a small office in Brooklyn, New York. We are looking for a data engineer to ...

Wondr Health

Data Engineer

Dallas, TX · On-site +1

$100K - $120K/yr

Amazon Redshift, IaC, DB2 experience desirable. General Working Conditions: General office working ... remote work from home or in the office. Each department head determines if the position is work ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0241347 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Experience with designing, developing, deploying, or testing in Amazon Web Services (AWS)

Mactores

AWS Data Engineer (Associate)

$117K - $140K/yr

As an AWS Data Engineer, you will collaborate with business leads and data scientists to build data ... Responsibilities : • Write efficient code in - PySpark, Amazon Glue • Write SQL Queries in ...

First Citizens Bank

Lead Data Engineer

Raleigh, NC · Remote

$111K - $133K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Amazon Kinesis, Qlik Replicate, Snow pipe Streaming, or equivalent platforms. * Experience ...

First Citizens Bank

Lead Data Engineer

Carolina, RI · Remote

$115K - $138K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Amazon Kinesis, Qlik Replicate, Snow pipe Streaming, or equivalent platforms. * Experience ...

Magpie Health Analytics

Data Engineer (Remote)

Baltimore, MD · Remote

$117K - $140K/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 ...

New

First Citizens Bank

Lead Data Engineer

Carolina, RI · Remote

$115K - $138K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Amazon Kinesis, Qlik Replicate, Snow pipe Streaming, or equivalent platforms. * Experience ...

First Citizens Bank

Lead Data Engineer

Raleigh, NC · Remote

$111K - $133K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Amazon Kinesis, Qlik Replicate, Snow pipe Streaming, or equivalent platforms. * Experience ...

- Zoetis Belgium S.A.

Data Engineer

Parsippany, NJ · Remote

$105K - $151K/yr

Amazon S3, Redshift, Azure Storage) and distributed file systems (HDFS) * Strong proficiency in SQL ... Position is Parsippany, NJ preferred; remote considered The US base salary range for this full-time ...

Abaxis

Data Engineer

Parsippany, NJ · Remote

$105K - $151K/yr

Amazon S3, Redshift, Azure Storage) and distributed file systems (HDFS) * Strong proficiency in SQL ... Position is Parsippany, NJ preferred; remote considered The US base salary range for this full-time ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Duration: 6-12 months Location: Remote Seeking a highly skilled and motivated Data Engineer to join a dynamic team. As a key contributor, you will be responsible for integrating into ...

System One

AWS / Snowflake Data Engineer

Dallas, TX · Remote

$90.32/hr

... remote Hours: 40.0 Security Clearance: Not specified Overview The Sr. Cloud Data Engineer is responsible for designing, building, and maintaining robust and scalable data solutions on the Amazon Web ...

NAVA Software Solutions

Data Engineer - Remote

Richmond, VA · On-site +1

$113K - $136K/yr

Data Engineer Location: 100% Remote Duration: 12 months Required Qualifications: * 7+ Years Experience in the following: Python, Java, Scala, Spark, AirFlow, Javascript/TypeScript * 3+ Years ...

System One

AWS / Snowflake Data Engineer

Dallas, TX · Remote

$90.32/hr

... remote Hours: 40.0 Security Clearance: Not specified Overview The Sr. Cloud Data Engineer is responsible for designing, building, and maintaining robust and scalable data solutions on the Amazon Web ...

System One

AWS / Snowflake Data Engineer

Dallas, TX · Remote

$90.32/hr

... remote Hours: 40.0 Security Clearance: Not specified Overview The Sr. Cloud Data Engineer is responsible for designing, building, and maintaining robust and scalable data solutions on the Amazon Web ...

Protagona

Data Engineer

Dallas, TX · On-site +1

$115K - $130K/yr

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 ...

next page

Showing results 1-20

All JobsAmazon Data Engineer JobsRemote Amazon Data Engineer Jobs

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:
What job categories do people searching Remote Amazon Data Engineer jobs look for? The top searched job categories for Remote Amazon Data Engineer jobs are:
Remote Amazon Data Engineer jobs near you
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.

Senior Data Engineer

Jobgether

On-site, Remote

$81K - $111K/yr

Full-time

Posted 24 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in Netherlands.

The role focuses on designing and evolving scalable, cloud-native data platforms that support critical analytics, reporting, and product capabilities.
You will take ownership of complex data engineering solutions across ingestion, transformation, and data serving layers.
Working within a distributed international team, you will collaborate closely with backend engineers and technical stakeholders.
The position offers the opportunity to shape architecture decisions, improve data reliability, and build high-performing systems.
You will work extensively with AWS technologies, distributed processing, and modern engineering practices.
This is a high-impact opportunity for an experienced engineer who enjoys solving complex data challenges in a remote environment.

Accountabilities:

The Senior Data Engineer will be responsible for building and maintaining reliable, scalable data solutions while contributing to technical strategy and platform evolution.

  • Design, develop, and own batch-oriented data pipelines and ETL workflows using AWS Glue, AWS Lambda, AWS Step Functions, and Amazon S3.
  • Build and optimize ingestion pipelines using AWS-native services, including AppFlow, DMS, and selected event-streaming solutions.
  • Develop and maintain analytical data models and query layers using technologies such as Amazon Athena, Amazon Redshift, and ClickHouse.
  • Design integrations between data workflows and backend microservices running on Amazon ECS.
  • Collaborate with software engineers to develop backend services and APIs that expose data capabilities.
  • Contribute to event-driven architectures using services such as EventBridge to coordinate workflows and system interactions.
  • Ensure data quality, lineage, observability, monitoring, and alerting across data systems.
  • Improve performance and scalability across data processing jobs, analytical queries, and storage solutions.
  • Implement engineering best practices around Infrastructure as Code, CI/CD, security, governance, and sensitive data handling.
  • Mentor other engineers and contribute to architectural decisions and long-term technical direction.
Requirements:

The ideal candidate brings extensive experience in data engineering and backend development, with strong technical expertise in cloud-based data platforms and distributed systems.

  • 8+ years of experience in data engineering, backend engineering, or a related hybrid role.
  • Strong hands-on experience with AWS services, including AWS Glue, AWS Lambda, AWS Step Functions, Amazon S3, Amazon Athena, and Amazon Redshift.
  • Proven experience designing and building scalable batch data pipelines and ETL systems.
  • Strong programming skills in Java for backend services and Python for data processing workflows.
  • Experience working with containerized applications and orchestration platforms such as Amazon ECS.
  • Familiarity with microservices architectures and backend system design.
  • Experience with event-driven systems and messaging services such as SQS and EventBridge.
  • Advanced SQL skills with experience optimizing analytical queries and data workloads.
  • Knowledge of distributed processing frameworks, including Spark-based solutions.
  • Strong understanding of data modeling, storage strategies, partitioning, and performance optimization across multiple data platforms.
  • Experience with data quality practices, monitoring frameworks, and governance principles is a plus.
  • Familiarity with Apache Airflow or similar orchestration tools is beneficial.
  • Experience with semantic data layers, ClickHouse at scale, financial or credit-related data systems, and AWS certifications is considered an advantage.
Benefits:
  • Fully remote work arrangement from a home office in Romania, Poland, or Portugal.
  • Opportunity to collaborate with a diverse international team across multiple regions.
  • Flexible working environment within a distributed engineering organization.
  • The chance to work on impactful, large-scale data platforms and modern cloud technologies.
  • Competitive compensation package based on experience and expertise.
  • Opportunity to contribute to technical strategy and influence architecture decisions.
  • Professional growth opportunities through challenging engineering projects and collaboration with experienced teams.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
#LI-CL1
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply