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

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 ...

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 ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

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 ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

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 ...

Annotate data, interpret findings, and perform fact-checking to ensure high-quality content ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

Showing results 41-60

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 21, 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 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 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, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $140,924 per year, or $67.8 per hour.

Staff Data Scientist, Computational Biology

Valo Health

Lexington, MA • On-site, Remote

$195K - $230K/yr

Full-time

Medical, Retirement

Re-posted 6 days ago


Job description

About Us
Valo Health is a human-centric, AI-enabled biotechnology company working to make new drugs for patients faster. The company's Opal Computational Platform transforms drug discovery and development through a unique combination of real-world data, AI, human translational models and predictive chemistry.
Our talented team of biologists, chemists and engineers, armed with advanced AI/ML tools, work together to break down traditional R&D silos and accelerate the speed and scale of drug discovery and development.
Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. We embrace new ways of learning, solve complex problems and welcome diverse perspectives that can help us advance patient-centric innovation.
Valo is headquartered in Lexington, MA, with additional offices in New York, NY and Tel Aviv, Israel. To learn more, visit www.valohealth.com.
About the Role
We are seeking an exceptional Staff Computational Biologist to drive the next generation of software and data products supporting Target Identification and Prioritization across our research organization. This hybrid role is ideal for someone who thrives at the intersection of biology, computation, product strategy, and engineering execution.
As a senior member of the Translational Platform Engineering team, you will act as a product owner, technical strategist, and rapid prototyper, responsible for shaping the roadmap and delivering tools that power discovery teams. Your day to day includes working with biology data scientists to harden their notebooks and workflows, pushing new releases to production (on a predictable schedule), and sitting with biologists and chemists as they use the UIs to advance our translational biology efforts. The Staff Computational Biologist is the key to translating use cases into technical specifications for engineering teams.
This is a highly visible and impactful role where you will contribute to a human-biology-first approach to drug discovery programs by leading the end-to-end lifecycle of platform capabilities used daily by our Target ID scientists.
What You'll Do...
  • Own the product roadmap for Target ID software.
  • Gather and prioritize scientific requirements from internal users.
  • Translate use cases into technical specifications for engineering teams.
  • Rapidly prototype computational solutions using Python.
  • Develop and maintain internal packages, reproducible workflows, and APIs.
  • Establish documentation, onboarding materials, and best practices for internal platform usage.
  • Lead cross-functional project execution (data engineering, software engineering).
  • Follow good engineering practices (i.e. CI/CD, predictable demo cadence, etc.)

What You Bring...
  • Bachelor's/ Master's degree in relevant field (computational biology, bioinformatics, systems biology, computer science) or equivalent relevant education and experience
  • 6+ years industry experience in computational biology or data-driven discovery; minimum 1 years' experience in software engineering and data engineering teams
  • Proficiency working with programming languages Python, and R, modern development frameworks and developing internal packages
  • Experience with omics/translational data analysis, scalable ETL pipelines, data modeling, and associated QC
  • 1+ years' experience leading complex projects as product owner
  • Experience supporting target identification, prioritization, or multi-modal analysis.

Nice to have...
  • Experience with dashboard development (e.g. Shiny, Dash, Streamlit, React, Veu.js).
  • Understanding of cloud-native tools and modern data platforms (AWS/GCP/Azure).
  • Familiarity with the drug discovery and development process is a plus

Remote Salary Range
$165,750-$195,000 USD
CA Salary Range
$195,585-$230,100 USD
Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. Valo Health currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Valo Health's good faith estimate as of the date of publication and may be modified in the future.
Please note: At this time, we are only able to consider candidates who currentlyhave permanent US work authorization without the need for immediate or future sponsorship.