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Remote Amazon Data Engineer Jobs in Boston, MA (NOW HIRING)

Software Engineer, Database Migration Service

Boston, MA ยท On-site +1

$124K - $149K/yr

Want to help Amazon building next generation data replication system that can scale to support ... Key job responsibilities Our engineers collaborate across diverse teams, projects, and environments ...

Software Engineer, Database Migration Service

Boston, MA ยท On-site +1

$124K - $149K/yr

Want to help Amazon building next generation data replication system that can scale to support ... Key job responsibilities Our engineers collaborate across diverse teams, projects, and environments ...

AI Engineer

Boston, MA ยท Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in ...

AI Engineer

Boston, MA ยท Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in ...

Title - Technical Lead - Data Analysis Location - Boston, MA - Remote JD - Key Skills * Advanced ... Strong data modeling skills to support analytics and BI developers * Experience creating custom ...

Canton, MA - 100% Remote Position Overview Hiring for experienced Data Analyst to support complex ... Support ETL processes, data integrations, and data-engineering initiatives. * Create technical ...

Showing results 21-40

Remote Amazon Data Engineer information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

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

As of Aug 8, 2026, the average yearly pay for remote amazon data engineer in Boston, MA is $140,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $149,400.00 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.
What are the most commonly searched types of Amazon Data Engineer jobs in Boston, MA? The most popular types of Amazon Data Engineer jobs in Boston, MA are:
What are popular job titles related to Remote Amazon Data Engineer jobs in Boston, MA? For Remote Amazon Data Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Data Engineer jobs in Boston, MA look for? The top searched job categories for Remote Amazon Data Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Remote Amazon Data Engineer jobs? Cities near Boston, MA with the most Remote Amazon Data Engineer job openings:
Infographic showing various Remote Amazon Data Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $140,924 per year, or $67.8 per hour.

Senior Preclinical Data Engineer

ALTEN Technology USA

Boston, MA โ€ข On-site, Remote

$90K - $140K/yr

Full-time

Posted 4 days ago


Job description

We are seeking a Senior Preclinical Data Engineer to support preclinical research and development activities across multiple global sites. This is a hands-on data role focused on managing, standardizing, and supporting highly heterogeneous preclinical bench and laboratory data from multiple internal systems. The successful candidate will operate independently, helping to establish data standards, ensure data quality, support end users, and contribute to central data management initiatives.

Responsibilities:

  • Serve as the on-site point of contact for preclinical data management activities while operating under the direction of a remote platform team.
  • Collect, map, and transform heterogeneous preclinical data, including in vitro and in vivo bench/lab-generated data, from multiple internal systems into standardized and usable formats.
  • Support the development and implementation of data standards and taxonomies where no existing standards currently exist.
  • Perform data quality reviews, data cleaning, validation, and accuracy checks using SQL and Python.
  • Contribute to the loading of validated and standardized data into a central data lake.
  • Provide functional, ticket-based user support for scientists using internal preclinical research tools.
  • Troubleshoot data-loading and data-handling issues across multiple preclinical systems.
  • Support functional administration activities, including:
    • Access rights management
    • List-of-values (LOV) management
    • Functional documentation, such as methods of procedure (MOPs)
    • Business needs refinement
  • Support application testing and validation activities, including:
    • Test case development
    • Test execution
    • Validation documentation
  • Set up or support business intelligence (BI) extracts, dashboards, and reports.

Qualifications:

  • Minimum of 5 to 6 years of experience working directly with preclinical or bench/lab-generated research data.
  • Ability to work a minimum of 3 days on-site in Boston, MA.
  • Strong understanding of bench science and how scientific experiments generate data, including familiarity with outputs from techniques such as chromatography and Western blotting.
  • Demonstrated experience working with data that lacks established standards or formats, with the ability to create structure and standards from the ground up.
  • Working proficiency in SQL and basic Python for data querying, cleaning, validation, and quality review.
  • Experience providing end-user support and troubleshooting for scientific software applications or data systems.
  • Ability to work independently with remote management and limited local technical support.
  • Fluent in written and spoken English.

Preferred Qualifications:

  • Exposure to preclinical research domains such as pharmacology, toxicology, DMPK, or omics.
  • Familiarity with LIMS, ELN, or SDMS platforms.
  • Knowledge of data governance concepts, including Master Data Management (MDM), FAIR principles, and ALCOA+ data integrity practices.
  • Experience working as an embedded consultant or vendor within a client team.

Salary Range: $90,000 - $140,000ย 

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience.