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

Data Architect

Boston, MA · Remote

$69.25 - $89/hr

... remote global workforce. If you are passionate about leading large-scale cloud and data ... Collaborate with Enterprise Architects, Cloud Architects, Data Engineers, and Analytics teams to ...

Data Architect, Next Platform

Boston, MA · On-site +1

$150K - $200K/yr

Educate engineering and clinical teams on data modeling standards, governance, and best practices ... Hands-on experience with GCP (BigQuery, Vertex AI) or AWS healthcare-native services. * Specialized ...

Lead DevOps Engineer (Remote)

Boston, MA · Remote

$57.25 - $78.50/hr

Design, deploy, and manage secure, scalable AWS environments using Terraform and Infrastructure as Code (IaC) best practices. * Architect highly available, multi-tenant cloud systems with a focus on ...

Director, AWS Program, location is Remote (EST preferred). The start date is ASAP for this 6-month ... Collaborate cross-functionally with sales, marketing, engineering, and GTM teams * Act as the ...

Solid knowledge of REST APIs, data structures, and backend best practices . * Strong problem ... Experience with AWS, Azure, or Google Cloud . * Experience with high-availability or distributed ...

Solid knowledge of REST APIs, data structures, and backend best practices . * Strong problem ... Experience with AWS, Azure, or Google Cloud . * Experience with high-availability or distributed ...

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 41-60

Remote Aws Data Engineer information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

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

As of Sep 3, 2026, the average yearly pay for remote aws 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 is a remote AWS data engineer?

A Remote AWS Data Engineer is a professional who designs, builds, and maintains data pipelines and architectures using Amazon Web Services (AWS) infrastructure, while working remotely. They are responsible for tasks such as data ingestion, transformation, storage, and ensuring data quality and security. AWS Data Engineers often work with services like Amazon S3, Redshift, Glue, Lambda, and EMR to enable scalable and efficient data processing. Their role is crucial in helping organizations manage and analyze large datasets in the cloud. Working remotely allows them to collaborate with teams from different locations using online tools and platforms.

What are the key skills and qualifications needed to thrive as a remote AWS data engineer?

To thrive as a Remote AWS Data Engineer, you need strong expertise in data engineering concepts, programming (such as Python or Scala), and experience with AWS cloud services like S3, Redshift, and Glue, typically supported by a relevant degree or AWS certification. Proficiency with ETL tools, data pipeline frameworks (e.g., Apache Airflow), and AWS-specific technologies is essential. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project delivery. These capabilities ensure scalable, secure, and efficient data solutions in distributed, cloud-based environments.

How does a remote AWS data engineer typically collaborate with cross-functional teams?

As a remote AWS Data Engineer, you'll often work closely with data scientists, analysts, and software engineers to design and maintain scalable data pipelines in the cloud. Collaboration usually happens through virtual meetings, cloud-based project management tools, and shared documentation platforms. Clear communication and proactive updates are essential to ensure everyone stays aligned, especially when troubleshooting data issues or implementing new features. Building strong working relationships remotely can be challenging, but most organizations support this with regular check-ins and team collaboration channels.

What is the difference between Remote Aws Data Engineer vs Remote Cloud Data Engineer?

AspectRemote Aws Data EngineerRemote Cloud Data Engineer
CertificationsAWS Certified Data Analytics, AWS Certified Data Analytics - SpecialtyCloud certifications (AWS, Azure, GCP), relevant data certifications
Work EnvironmentPrimarily AWS cloud platform, data pipelines, ETL processesMultiple cloud platforms, data integration across services
Industry UsageTech, finance, healthcare using AWS infrastructureVaries across industries using multiple cloud providers
Search & Comparison IntentHigh overlap in skills, AWS-specific toolsBroader cloud skills, multi-platform focus

The Remote Aws Data Engineer specializes in AWS cloud services, focusing on data pipelines and analytics within the AWS ecosystem. In contrast, the Remote Cloud Data Engineer works across multiple cloud platforms, requiring broader cloud skills. Both roles involve data engineering but differ in platform expertise and certifications.

What are the most commonly searched types of Aws Data Engineer jobs in Boston, MA?

The most popular types of Aws Data Engineer jobs in Boston, MA are:

What are popular job titles related to Remote Aws Data Engineer jobs in Boston, MA?

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

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

The top searched job categories for Remote Aws Data Engineer jobs in Boston, MA are:

What cities near Boston, MA are hiring for Remote Aws Data Engineer jobs?

Cities near Boston, MA with the most Remote Aws Data Engineer job openings:

Infographic showing various Remote Aws Data Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $140,924 per year, or $67.8 per hour.

Software Engineering Manager - AI Data Engine

Motional

Boston, MA • On-site, Remote

Full-time

Re-posted 3 days ago


Job description

Mission Summary:

We are seeking an experienced and visionary Staff Level Technical Lead Manager to build and lead our new AI Data Engine team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating our ML dataset generation and our data warehouse stack. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future!
You will be a hands-on leader, blending deep technical expertise in data systems and infrastructure with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvements.

What You'll Be Doing:

  • Team Leadership & Management:
    • Build, lead, and manage a high-performing team of data and infrastructure engineers focused on building out Motional's Data Stack.
    • Define team goals, priorities, and roadmap in alignment with company objectives.
    • Provide technical guidance, mentorship, and career development opportunities to team members.
  • Technical Strategy & Execution:
    • Define the technical vision and strategy for storing metrics and generating ML datasets for large computer vision and behavioral models. 
    • Identify and evaluate cutting-edge technologies and methodologies for speeding up data loaders for training, ingestion of metrics, and querying of large datasets for everything from dashboards to training.
  • Cross-functional Collaboration:
    • Collaborate closely with ML research, ML Training platform, and data engineering teams to understand their needs and integrate solutions seamlessly.
    • Communicate complex technical concepts and strategies to both technical and non-technical stakeholders.

What We're Looking For:

  • Experience:
    • BS or MS in Computer Science or related field
    • 8+ years of professional experience in data platform engineering
    • 3+ years of experience in a technical lead or management role with 3-7 direct reports
    • Extensive experience with managing large (petabyte plus) scale data platforms such as data warehouses, object storage, and ML training data stores. 
    • Extensive experience with workflow orchestration frameworks such as Airflow or Step Functions.
  • Technical Skills:
    • Strong programming skills in Python. C++ experience is a plus. 
    • Deep knowledge of data storage formats such as Parquet, Iceberg, and Lance and understand their tradeoffs.
    • Strong knowledge of cloud infrastructure (AWS, GCP) solutions and their product offerings. 
    • Prior experience with building data warehouses or lakehouse architectures at a machine learning or robotics company.

Bonus Points (not required): 

  • Prior experience in autonomous vehicles (AV) is a plus.
  • Prior experience with Bazel based build systems.

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.