2

Remote Amazon Data Engineer Jobs in Arlington, MA

Principal Data Engineer

Boston, MA ยท On-site +1

$190K - $210K/yr

This role is fully remote working anywhere in the US. What success looks like * You partner with ... Amazon Kinesis * Strong proficiency in a modern general-purpose language; proficiency in the ...

Principal Data Engineer

Boston, MA ยท On-site +1

$190K - $210K/yr

This role is fully remote working anywhere in the US. What success looks like * You partner with ... Amazon Kinesis * Strong proficiency in a modern general-purpose language; proficiency in the ...

Data Engineer

Burlington, MA ยท Remote

$145K - $180K/yr

This is NOT a fully remote position! * 4-6 years of experience as a Data Engineer, Backend Engineer, Database Engineer, or similar role. * Strong programming experience in Python, C++, Golang, or ...

Data Engineer

Boston, MA ยท Remote

$137K/yr

Data Engineer Job Duties: * Discover hidden information using massive datasets and leveraging ... This position is eligible for fully remote work from any location in the United States. Minimum ...

AI Data Engineer

Boston, MA ยท On-site +1

$124K - $149K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

AI Data Engineer

Boston, MA ยท Remote

$117K - $140K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

AI Data Engineer

Boston, MA ยท On-site +1

$124K - $149K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Software Engineering, Senior Data Engineer

Boston, MA ยท On-site +1

$124K - $149K/yr

... or Amazon AWS. Familiarity with Agile SDLC, DevOps practices, CI/CD processes, and cloud ... MFS is a hybrid work environment (remote/onsite) unless otherwise stated in the job posting. If any ...

Software Engineering Sr. Data Engineer

Boston, MA ยท On-site +1

$98K - $141K/yr

Development Experience in Cloud based PAAS platforms like Microsoft Azure, Google GCP or Amazon AWS ... MFS is a hybrid work environment (remote/onsite) unless otherwise stated in the job posting. If any ...

Senior Data Engineer

Boston, MA ยท Remote

$115K - $151K/yr

As a Senior Data Engineer , you will work closely with cross-functional teams to ensure our data ... Fully remote role within the United States * Periodic travel (approximately 5%) for team meetings ...

Senior Data Engineer

Boston, MA ยท Remote

$140K - $180K/yr

We are looking for a Senior Data Engineer to help design, build, and scale the data systems that ... This role is primarily remote, US-based, and operates largely in EST hours, with occasional travel ...

next page

Showing results 1-20

Remote Amazon Data Engineer information

See Arlington, MA salary details

$50.4K

$146.9K

$201K

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

As of Aug 23, 2026, the average yearly pay for remote amazon data engineer in Arlington, MA is $146,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 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 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 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 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.

Can I work remotely as a remote amazon data engineer?

Yes, many Amazon Data Engineer roles are available as remote positions, allowing professionals to work from home or other locations. These roles typically require strong skills in data pipelines, cloud platforms like AWS, and relevant certifications, with companies often providing remote work options depending on the team and project needs.

How much do remote Amazon data engineers make?

Remote Amazon data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill set. Salaries can vary based on factors such as certifications, expertise in tools like AWS and Spark, and the level of seniority in the role.

What are popular job titles related to Remote Amazon Data Engineer jobs in Arlington, MA?

For Remote Amazon Data Engineer jobs in Arlington, MA, the most frequently searched job titles are:

What job categories do people searching Remote Amazon Data Engineer jobs in Arlington, MA look for?

The top searched job categories for Remote Amazon Data Engineer jobs in Arlington, MA are:

What cities near Arlington, MA are hiring for Remote Amazon Data Engineer jobs?

Cities near Arlington, MA with the most Remote Amazon Data Engineer job openings:

Principal Data Engineer

Beacon Biosignals

Boston, MA โ€ข On-site, Remote

$190K - $210K/yr

Full-time

PTO

Posted 22 days ago


Job description

Beacon Biosignals is seeking a Principal Data Engineer to join our Datastore team. The Datastore sits at the heart of Beacon's platform. It defines our foundational data model and serves as the centralized repository and API for brain data collected from clinical studies, supporting the analytical tools, services, and applications used by our scientists, clinicians, and partners.

This role emphasizes the architecture and design of solutions spanning the Beacon Platform, with a focus on scalable data models to serve expanding business needs, event-driven pipelines, and engineering best practices. You will coach engineers and stakeholders of the Datastore on design patterns, collaborate with product and technical leads across platform and scientific teams, and help shape architectural direction and standards across Platform teams.

Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs available located in Boston, New York and Paris. This role is fully remote working anywhere in the US.

What success looks like

  • You partner with engineering and product leaders and Datastore stakeholders to guide architecture and solutions for the Beacon Datastore, and influence architectural standards across Platform teams
  • You implement features that model best practices, and coach team members to develop their skills. You hold the Datastore to ever higher standards for data integrity, design soundness, and maintainability as it grows
  • You draft RFCs to lead complex feature discovery and technical design phases, soliciting and incorporating input and building alignment on the decisions that guide development

What you will bring

  • 10+ years of backend development experience, including significant experience focused on data engineering, data platforms, and infrastructure for data-centric applications
  • Strong proficiency in SQL, with production experience working with PostgreSQL
  • Proficiency with data streaming and event processing, using tools such as Kafka, RabbitMQ, Pulsar, or a cloud-based equivalent like Amazon Kinesis
  • Strong proficiency in a modern general-purpose language; proficiency in the Datastore's specific stack (SQL/TypeScript/Julia) is not required, but you should be able and excited to learn quickly!
  • Experience with, or interest in, using LLM-assisted or agentic coding tools in a production setting, with good judgment about what guardrails are needed
  • Experience deploying and operating services in containerized environments, with familiarity in Kubernetes and Infrastructure as Code (IaC) tools such as Terraform and/or Helm
  • A collaborative mindset - you enjoy working across disciplines and believe people achieve more together than alone
  • Excellent written and verbal communication skills, especially in asynchronous and remote-friendly environments

We don't expect every candidate to check every box. If you bring strong fundamentals, care about data infrastructure for health, and are excited to learn, we'd love to hear from you!

The salary range for this role is $190,000 - $210,000. Salary ranges are determined using current market compensation data for this role and adjusted based on experience, skills, and location.The base salary is one component of the total compensation package, which includes equity, PTO, and other benefits.

At Beacon, we've found that cultural and scientific impact is driven most by those that lead by example. As such, we're always seeking new contributors whose work demonstrates an avid curiosity, a bias towards simplicity, an eye for composability, a self-service mindset, and - most of all - a deep empathy towards colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.