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

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 ...

Senior Data Platform Engineer

Boston, MA

$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 ...

Senior Data Platform Engineer

Boston, MA

$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 ...

... data centers.Together, we're not just advancing technology - we're redefining cooling standards to ... Eligible for domestic relocation only Is Sponsorship Available? Yes JetCool is an Equal Opportunity ...

... data centers. Together, we're not just advancing technology - we're redefining cooling standards to ... Eligible for domestic relocation only Is Sponsorship Available? Yes JetCool is an Equal Opportunity ...

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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 Jun 16, 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:
Lead Data Engineer

$131K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


American Family Insurance rating

7.6

Company rating: 7.6 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

186th of 261 rated insurance


Job description

This position collects, stores, processes and builds applications within our big data platform. Responsible for integrating these applications with the architecture used across the organization.

Position Compensation Range:

$131,000.00 - $220,000.00

Pay Rate Type:

Salary

Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.

This position has approval to transfer a valid H1 visa.

Primary Accountabilities
Leads an engineering team to meet project deadlines and priorities.
Supervises assigned data engineering team members & activities.
Ensures the quality, completeness, security, privacy, and integrity of data throughout the data lifecycle.
Documents critical workflows and operational support aspects of team's responsibilities
Develops deep understanding of data sources, granularity, availability, and limitations.
Provides proactive technical oversight and advice to application architecture and development teams fostering re-use, design for scale, stability, and operational efficiency of data/analytical solutions.
Creates maintainable, scalable code to load and manipulate data in the data warehouse.
Facilitates communication upward and across project teams and business stakeholders.
Specialized Knowledge & Skills Requirements
Demonstrated experience providing customer-driven solutions, support or service.
In-depth knowledge of SQL or NoSQL and experience using a variety of data stores (e.g. RDBMS, analytic database, scalable document stores)
Extensive hands-on Python programming experience, with an emphasis towards building ETL workflows and data-driven solutions.
Able to employ design patterns and generalize code to address common use cases.
Capable of authoring robust, high quality, reusable code and contributing to the division's inventory of libraries.
Expertise in big data batch computing tools (e.g. Hadoop or Spark), with demonstrated experience developing distributed data processing solutions.
Applied knowledge of cloud computing (AWS, GCP, Azure).
Knowledge of open source machine learning toolkits, such as sklearn, SparkML, or H2O.
Solid data understanding and business acumen in the data rich industries like insurance or financial
Applied knowledge of data modeling principles (e.g. dimensional modeling and star schemas).
Strong understanding of database internals, such as indexes, binary logging, and transactions.
Experience using tools for infrastructure-as-code (e.g. Docker, CloudFormation, Terraform, etc.)
Experience with software engineering tools and workflows (i.e. Jenkins, CI/CD, git).
Practical experience authoring and consuming web services.
Licenses:
Not Applicable.
Travel Requirements
Up to 10%.
Physical Requirements
Work that primarily involves sitting/standing.
Working Conditions
Not Applicable.

Additional Information
  • To ensure a strong start, all employees participate in our New Employee Orientation during their first week. This experience is held in person at our Madison, WI Headquarters or one of our AmFam core locations to help you connect with our mission, meet key team members and build relationships that support your growth. At times, sessions may be delivered virtually based on scheduling and availability.
  • Offer to selected candidate will be made contingent on the results of applicable background checks
  • Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions
  • Sponsorship will not be considered for this position unless specified in the posting

We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.

We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email AskHR@AmFam.com to request a reasonable accommodation.

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