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Weekend Ai Data Engineer Jobs in Massachusetts (NOW HIRING)

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Beyond traditional data pipelines, we are actively developing AI-native data access patterns that ... About the Role We are seeking an engineer to help build and operate AI-enabled data platforms for ...

Data Engineer

Wakefield, MA · On-site

$120K - $145K/yr

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

Data Engineer

Wakefield, MA

$120K - $145K/yr

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

Data Engineer

Wakefield, MA · On-site

$90K - $150K/yr

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

Additionally, this position champions the Data Science & AI Center of Excellence, mentors a team of data scientists, data engineers, and AI engineers, and drives the adoption of new tools and ...

What we needWe are looking for an AI Analytics Engineer to join Symbotic. Your job will be to design and build an intelligent analytics ecosystem that aggregates operations data across multiple ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Beyond traditional data pipelines, we are actively developing AI-native data access patterns that ... About the Role We are seeking an engineer to help build and operate AI-enabled data platforms for ...

AI/Data Scientist

Springfield, MA · On-site

$140 - $190/hr

# AI/Data ScientistBravo Consulting GroupSpringfield, USFull-time## About the Role Designs and ... Work alongside architects, engineers, and data scientists in a team-focused environment that values ...

Data Engineer II

Boston, MA · On-site

$124K - $149K/yr

... Data - AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud ...

Data Engineer

Burlington, MA · On-site

$110 - $160/hr

MatrixSpace develops AI-enabled radar and sensing systems that help people understand what ... We're looking for a hands-on Data Engineer to design, build, and optimize the data infrastructure ...

Data Engineer

Boston, MA

$124K - $149K/yr

We are growing our Enterprise Data & Engineering team! Do you have a passion for data and a drive ... Familiarity with or curiosity about AI-enabled development tools (such as GitHub Copilot, Cursor ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

We are growing our Enterprise Data & Engineering team! Do you have a passion for data and a drive ... Familiarity with or curiosity about AI-enabled development tools (such as GitHub Copilot, Cursor ...

Data management and data engineering * AI/ML and advanced analytics * Serve as the enterprise authority on clinical data architecture and AI enablement for clinical & medical affairs across all BUs ...

This role sits within the firm's AI, Data, and Platform Technologies engineering organization, which builds foundational data and AI capabilities that support global scale, business transformation ...

Showing results 21-40

Weekend Ai Data Engineer information

What is the difference between Weekend Ai Data Engineer vs Weekend Data Engineer?

AspectWeekend Ai Data EngineerWeekend Data Engineer
Required CredentialsBachelor's in CS, Data Science, or related field; familiarity with AI/ML toolsBachelor's in CS, Data Science, or related field; basic data engineering skills
Work EnvironmentProjects involving AI/ML models, data pipelines for AI applicationsGeneral data processing, ETL tasks, data pipeline setup
Employer & Industry UsageTech companies, AI startups, research institutionsVarious industries including finance, healthcare, e-commerce
Common Search & ComparisonOften compared for specialization in AI data tasksBroader data engineering roles

The Weekend Ai Data Engineer focuses on building data pipelines and models specifically for AI and machine learning applications, requiring knowledge of AI tools. In contrast, the Weekend Data Engineer handles general data processing tasks across various industries. Both roles share similar educational backgrounds but differ in their focus and project types.

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

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

What are popular job titles related to Weekend Ai Data Engineer jobs in Massachusetts?

For Weekend Ai Data Engineer jobs in Massachusetts, the most frequently searched job titles are:

What cities in Massachusetts are hiring for Weekend Ai Data Engineer jobs?

Cities in Massachusetts with the most Weekend Ai Data Engineer job openings:

Infographic showing various Weekend Ai 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, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

$124K - $149K/yr

Full-time

Re-posted 5 days ago


Job description

About the Team

RA Capital's Data Engineering team builds the enterprise data platform that powers research, investment, and operational workflows across the firm. Beyond traditional data pipelines, we are actively developing AI-native data access patterns that enable users to interact with complex healthcare datasets through LLM-powered, governed, and auditable interfaces.

Our work sits at the intersection of healthcare data, large-scale data engineering, and applied AI, with a strong emphasis on reliability, compliance, and production readiness.

About the Role

We are seeking an engineer to help build and operate AI-enabled data platforms for healthcare data.

This role goes beyond traditional ETL. You will work on healthcare data pipelines and contribute to AI-driven data access layers where large language models translate user intent into structured, governed queries, such as SQL or GraphQL. You will help bridge enterprise data systems with LLM-based interfaces that support self-service analytics, discovery, and decision-making.

Responsibilities
  • Design and maintain scalable, production-grade data pipelines for healthcare datasets, including claims and provider data.

  • Build and optimize data models in Databricks to support analytical and AI-driven workloads.

  • Develop high-quality Python and SQL code for data standardization, reconciliation, and validation.

  • Partner with AI/ML engineers to enable LLM-powered data access.

  • Contribute to AI-native data access frameworks.

  • Collaborate with healthcare data vendors and internal stakeholders.

  • Implement monitoring, validation, and governance for data and AI workflows.

  • Document data architectures and AI-enabled pipelines.

Key Skills and Experience
  • Strong foundation in data engineering and data modeling.

  • Proficiency in SQL, Python, Java, and Spark.

  • Hands-on experience with Databricks and/or Snowflake.

  • Experience in software development, data integration, vendor data management, and writing production-grade code for data reconciliation.

  • Experience working with healthcare or other regulated datasets.

  • Hands-on experience with, or a strong interest in, LLM-powered enterprise systems.

  • Familiarity with GraphQL or other API-based data access methods.

  • Strong documentation and communication skills.

Key Requirements
  • Bachelor's degree or higher in Computer Science, Data Science, Information Technology, Software Engineering, or a related field. A master's degree is preferred.

  • 1-3+ years of experience in software or data engineering.

  • Authorization to work in the United States without current or future sponsorship.

  • Must be based in Massachusetts, able to work in the Boston area, and available to work a hybrid schedule. Relocation assistance is not provided.

  • Flexibility to work outside standard business hours as needed.