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Data Engineer Relocation Jobs in Cambridge, MA (NOW HIRING)

RA Capital Management, LLC

Data Engineer

Boston, MA

$124K - $149K/yr

About the Team RA Capital's Data Engineering team builds the enterprise data platform that powers ... Relocation assistance is not provided. * Flexibility to work outside standard business hours as ...

New

RA Capital Management, LLC

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

About the Team RA Capital's Data Engineering team builds the enterprise data platform that powers ... Relocation assistance is not provided. * Flexibility to work outside standard business hours as ...

Whoop

Senior Data Platform Engineer

Boston, MA · On-site

$133K - $175K/yr

We are seeking a Senior Data Platform Engineer to build and evolve the foundational infrastructure ... The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA ...

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All JobsData Engineer Relocation JobsData Engineer Relocation Jobs in Cambridge, MA

Data Engineer Relocation information

See Cambridge, MA salary details

$48.6K

$141.8K

$194K

How much do data engineer relocation jobs pay per year?

As of Aug 1, 2026, the average yearly pay for data engineer relocation in Cambridge, MA is $141,777.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,100.00 and $150,300.00 per year, depending on experience, location, and employer.

What are some common challenges data engineers face when relocating for a new position?

When relocating for a data engineering role, professionals often encounter challenges such as adapting to new data privacy regulations, integrating with local teams, and understanding company-specific data infrastructure. Adjusting to a different work culture and collaborating across time zones can also require flexibility and strong communication skills. Proactively seeking support from HR and technical onboarding resources can help ease the transition and ensure a smooth start in the new environment.

What is a Data Engineer Relocation?

A Data Engineer Relocation refers to the process of a data engineer moving to a new city, state, or country for a job opportunity. Often, companies offer relocation packages or assistance to help data engineers with the costs and logistics of moving. This can include covering moving expenses, temporary housing, and support for settling into a new location. Relocation is common in the tech industry due to the high demand for skilled data engineers in specific regions or at company headquarters.

What is the difference between Data Engineer Relocation vs Data Engineer?

AspectData Engineer RelocationData Engineer
Required CredentialsBachelor's in CS, Data Science, or related field; experience with cloud platformsBachelor's or higher in CS, Data Science, or related; proficiency in SQL, Python, and ETL tools
Work EnvironmentTypically involves relocating to a new city or country; may include remote work optionsUsually based in an office or remote; focuses on data pipeline development
Employer & Industry UsageUsed by companies hiring for international or remote data roles requiring relocationCommon in tech, finance, healthcare industries for data infrastructure roles

In summary, Data Engineer Relocation involves moving to a new location for a data engineering role, often requiring additional logistical planning, while Data Engineer refers to the role itself, which can be based anywhere. Both roles share similar skills and credentials but differ mainly in the relocation aspect.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need strong skills in data modeling, ETL (Extract, Transform, Load) processes, and proficiency in programming languages such as Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with big data platforms (like Hadoop or Spark), cloud services (such as AWS or Azure), and relevant certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help you collaborate effectively and adapt to evolving data needs. These skills ensure robust data pipelines, reliable analytics, and support for organizational data-driven decision-making.
What are popular job titles related to Data Engineer Relocation jobs in Cambridge, MA? For Data Engineer Relocation jobs in Cambridge, MA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Relocation jobs in Cambridge, MA look for? The top searched job categories for Data Engineer Relocation jobs in Cambridge, MA are:
What cities near Cambridge, MA are hiring for Data Engineer Relocation jobs? Cities near Cambridge, MA with the most Data Engineer Relocation job openings:
Data Engineer Relocation jobs near you

Data Engineer

RA Capital Management, LLC

Boston, MA

$124K - $149K/yr

Other

Posted 3 days ago

New

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.

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