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

Mondo

Data Product Manager

Marlborough, MA · Remote

$50 - $65/hr

Remote (Preference for candidates local to Marlborough, MA) Start Date Is: ASAP Duration: 6-month ... Partner with data engineering and data science teams to deliver scalable data solutions.

The Mutual Group

Lead AI Engineer - AWS Platform

Boston, MA · On-site +1

$130K - $190K/yr

Information Technology We are modernizing our data and analytics ecosystem by embedding AI and ... Amazon SageMaker, AWS Lambda, S3, Glue, EKS, and related services * Contribute to evolving use of ...

Trivelta

Lead DevOps Engineer (Remote)

Boston, MA · Remote

$57.25 - $78.50/hr

... Engineer , you will design and build the infrastructure powering our platform serving hundreds of ... Manage and optimize container orchestration using Amazon EKS/Kubernetes for reliable application ...

Tiger Analytics Inc.

Data Architect

Westwood, MA · Remote

$71.25 - $91.75/hr

... remote global workforce. If you are passionate about leading large-scale cloud and data ... Partner with product owners, domain architects, and data engineering teams to translate business ...

Chewy

Data Scientist I

Boston, MA · On-site +1

$117K - $163K/yr

Work with data scientists, application developers, product managers and software engineers to ... Cloud-based data and analytics platforms, including Amazon Web Services tools such as SageMaker ...

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All JobsAmazon Data Engineer JobsRemote Amazon Data Engineer JobsRemote Amazon Data Engineer Jobs in Boston, MA

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:
Remote Amazon Data Engineer jobs near you
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.

Data Product Manager

Mondo

Marlborough, MA • Remote

$50 - $65/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 2 days ago

Job description

Apply now: Merchandise Data Product Manager, location is Remote. The start date is ASAP for this 6-month contract position.

Job Title: Merchandise Data Product ManagerLocation-Type: Remote (Preference for candidates local to Marlborough, MA)Start Date Is: ASAPDuration: 6-month contract (with possibility of extensions/conversion)Compensation Range: $50-$65/hour W2Benefits: Eligible for Health, Dental, Vision, 401KMust be authorized to work in the U.S. This position is not eligible for sponsorship.

Job Description:We're seeking an experienced Merchandise Data Product Manager to drive the strategy and roadmap for merchandising data products that support pricing, promotions, inventory optimization, and product performance. This role will partner closely with business stakeholders, data engineering, and data science teams to ensure data solutions deliver measurable business value.

Day-to-Day Responsibilities:

  • Own the product strategy and roadmap for merchandising data products.
  • Translate business requirements into data, metrics, and reporting requirements.
  • Prioritize and maintain a healthy Agile product backlog.
  • Partner with data engineering and data science teams to deliver scalable data solutions.
  • Collaborate with merchandising and operations stakeholders to identify opportunities for business value.
  • Define success metrics and ensure delivered solutions meet business expectations.
  • Drive sprint planning, backlog refinement, and stakeholder communication.
  • Support initiatives focused on pricing, promotions, assortment, inventory, and in-stock optimization.

Requirements:

Minimum Requirements:

  • 5 years of Product Management experience supporting data products.
  • Strong expertise in retail merchandising and merchandising operations.
  • Experience translating complex business requirements into data requirements, metrics, and actionable insights.
  • Experience partnering with data engineering teams to deliver data products.
  • Strong stakeholder management and communication skills.
  • Experience working in Agile/Scrum environments, including backlog management, sprint planning, and prioritization.
  • Ability to balance strategic thinking with hands-on execution.
  • Proven ability to prioritize initiatives that maximize business value.

Preferred Qualifications:

  • Experience with Databricks.
  • Experience using Jira.
  • Exposure to GenAI initiatives or AI-enabled data platforms.
  • Experience partnering with data science teams.
  • Experience improving inventory, pricing, promotional, or merchandising analytics.