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Remote Senior Data Engineer Jobs in Massachusetts

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

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 ...

Motional

Senior Engineer

Boston, MA · On-site +1

$113K - $155K/yr

Ref. No. N270 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Design, implement, and test ... Experience must include production focused C++ software development, designing data pipelines

Tempus

Data Scientist II, Outcomes Research

Boston, MA · On-site +1

$100K - $150K/yr

We are seeking a highly motivated and capable Sr. Data Scientist with extensive experience in the ... Partner with interdisciplinary groups of scientists, engineers, and product developers to translate ...

Motional

Senior Engineer

Boston, MA · On-site +1

$113K - $155K/yr

No. N266 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Develop algorithms on planning ... And building and optimizing large data pipelines. Ref Job No. N266

Motional

Senior Engineer, ML Data Services

Boston, MA · On-site +1

$149K - $198K/yr

We are seeking a Senior Engineer to join our ML Data Services team and help us build and improve data infrastructure for Autonomy ML teams. As a Senior Engineer, you will be responsible for building ...

YO AI Labs

AI Engineer - Remote

Boston, MA · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

YO AI Labs

AI Engineer - Remote

Boston, MA · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

YO AI Labs

SWE AI Training Data Expert - Remote

Boston, MA · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

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Remote Senior Data Engineer information

What is a remote senior data engineer?

Remote Senior Data Engineers are experienced professionals who design, build, and maintain complex data systems and pipelines, but work from a location outside of the company's main office. They are responsible for ensuring reliable data flow, optimizing data storage, and supporting analytics, often collaborating with teams across different time zones. Their role typically involves advanced programming, data architecture, and the implementation of best practices in data engineering, all while working remotely. This position demands strong technical skills, excellent communication, and the ability to work independently.

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

To thrive as a Remote Senior Data Engineer, you need advanced expertise in data engineering concepts, SQL, and programming languages like Python or Scala, along with a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data frameworks (like Spark or Hadoop), and relevant certifications are typically required. Excellent problem-solving, communication, and self-management skills are crucial for collaborating remotely and driving projects independently. These competencies ensure robust data pipelines, effective teamwork, and successful delivery of scalable data solutions in distributed environments.

How does a remote senior data engineer typically collaborate with distributed teams to ensure data pipeline reliability?

As a Remote Senior Data Engineer, collaboration with cross-functional, distributed teams is usually facilitated through agile project management tools, regular video meetings, and shared documentation platforms. You’ll often work closely with data scientists, analysts, and DevOps engineers to design, build, and maintain scalable data pipelines. Clear communication and proactive status updates are essential to ensure everyone stays aligned and issues are addressed quickly. Leveraging version control systems and automated testing also helps maintain the reliability and quality of the data infrastructure across different time zones.

What is the difference between Remote Senior Data Engineer vs Data Scientist?

AspectRemote Senior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields, certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, visualization tools
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, research, finance

Remote Senior Data Engineers focus on building and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles often collaborate but serve different functions within data teams. Understanding these differences helps in choosing the right career path or job search focus.

What are the most commonly searched types of Senior Data Engineer jobs in Massachusetts?

The most popular types of Senior Data Engineer jobs in Massachusetts are:

What are popular job titles related to Remote Senior Data Engineer jobs in Massachusetts?

For Remote Senior Data Engineer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Remote Senior Data Engineer jobs in Massachusetts look for?

The top searched job categories for Remote Senior Data Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Remote Senior Data Engineer jobs?

Cities in Massachusetts with the most Remote Senior Data Engineer job openings:

Remote Senior Data Engineer jobs near you
Infographic showing various Remote Senior Data Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

AI Data Science Expert - Remote

YO AI Labs

Boston, MA • Remote

$100 - $200/hr

Part-time

Posted 23 days ago

Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.