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

... relocation candidates. Rate: $70per hour on W2 USC/GC/H1B Tope 5 Must haves: * ETL/ELT * ODI * PL ... As a Data Engineer, you will play a pivotal role in designing, developing, and maintaining data ...

... data into actionable insights. As a Databricks Engineer, you will contribute to software ... relocation and/or travel to work/project location. • Candidates authorized to work for any ...

... data into actionable insights. The role of Technology Consultant 2 involves contributing to ... relocation and/or travel to work/project location. • Candidates authorized to work for any ...

Engineering Product Manager

Littleton, MA · On-site

$123K - $169K/yr

... data centers. Together, we're not just advancing technology - we're redefining cooling standards to ... Engineering Relocation: Not eligible Is Sponsorship Available? No JetCool is an Equal Opportunity ...

... data centers.Together, we're not just advancing technology - we're redefining cooling standards to ... Engineering Relocation:Not eligible Is Sponsorship Available? No JetCool is an Equal Opportunity ...

Senior Android Engineer (Hardware Accelerate)

Boston, MA · On-site

$113K - $155K/yr

... data in near real time. • Ability to obtain and maintain a U.S. government security clearance ... The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA ...

Databricks Engineer

Boston, MA · On-site

$78K - $120K/yr

... relocation and/or travel to work/project location. • Candidates authorized to work for any ... Overview The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into ...

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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:
JB061527 - ODI Developer

JB061527 - ODI Developer

USM

Boston, MA • On-site

$70/hr

Contractor

This job post has expired today. Applications are no longer accepted.


Job description

  • Start Date: Interview Types Video Call
  • Skills ETL/ELT,ODI,PL/SQL c.. Visa Types H1B, Green Card, US ..

  • Title: ODI Developer
    Location: Boston, MA(Hybrid)
    Duration: End of 2026 + extension
    Note: This is 3 days onsite role in Boston so looking for local candidates and client is not looking to consider relocation candidates.
    Rate: $70per hour on W2
    USC/GC/H1B
    Tope 5 Must haves:
    • ETL/ELT
    • ODI
    • PL/SQL coding
    • 7 years' experience
    • Knowledge on how to be an admin side of things (not day to day but is able to do that)
    • Scripting - Python & Unix Scripting

    Senior ODI Developer
    Role Overview:
    Seeking a highly skilled and experienced Sr. ODI Developer to join our Private Banking Systems team. The ideal candidate will possess expertise in a range of technologies, including ODI (Oracle Data Integrator), Oracle Data Warehouse, Linux, Python scripting, and have a deep understanding of the Banking domain is a big plus. As a Data Engineer, you will play a pivotal role in designing, developing, and maintaining data solutions.
    Key Responsibilities:
    • Build ODI mappings/interfaces, packages, procedures, scenarios, topology configuration, ODI Agent and load plans to integrate data from multiple enterprise systems.
    • Expertise in building Pl/SQL queries, procedures, data loading process, ensuring high-performance and scalability to meet the evolving data needs of the various applications.
    • Design, develop, and maintain ETL/ELT pipelines using Oracle Data Integrator (ODI).
    • Collaborate effectively with cross-functional teams, including other data engineers, DBA group, analysts, and business stakeholders, to understand data requirements and deliver solutions.
    • Monitor and troubleshoot RMJ jobs, ODI workflows, sessions, agents, and data pipelines on Linux environments.
    • Perform root cause analysis for failures related to ODI workflows, RMJ jobs, network connectivity, API integrations, and file transfers.
    • Optimize ETL workflows to improve reliability, performance, and scalability.
    • Use scripting and automation tools to support data processing and operational workflows.
    • Work in Linux/Unix environments, using command-line tools and shell scripts for job automation and troubleshooting.
    • Maintain comprehensive documentation of data processes, configurations, and best practices.
    • Participate in walk-throughs which review program specifications, source code, and all technical supporting documentation, including screens/reports. Provide feedback in accordance with team standards and guidelines.
    • Participate in implementation of changes, enhancements, and newly developed programs.
    • Conduct technical research and provide recommendations, develop proofs of concept or prototypes, contributing to technical design of applications.
    • Helping to identify coding patterns and anti-patterns and enforce implementation of the patterns through code reviews.
    • Quickly resolving issues encountered by business lines in the production environment, maintaining a helpful, "high touch" approach to working with business users, performing root cause analysis, technology evaluation, and performance tuning.

    Desired Qualifications:
    • Degree in Computer Science, Engineering or related technical area
    • 7+ years of extensive hands-on experience in ODI, Oracle Datawarehouse, Oracle PL/SQL, Linux, Python scripting, and ODI admin module (ODI Agent setup, logs configuration, certificate installation).
    • Must have experience in building Pl/SQL queries for Oracle Server (incl. stored procedures, functions...) and must understand basic principles of data modeling
    • Excellent collaborative and communication skills, particularly in high-stress situations
    • Experience with scripting Python and Linux scripting, CLE, networking fundamentals (API, IP/ports, SFTP/FTP connectivity)
    • High proficiency in development practices: unit testing, Continuous Integration (CI/CD), refactoring, clean code
    • Experience with Bitbucket/GIT source control management
    • Problem solving skills, able to determine upcoming risks & issues and address them accordingly.
    • Ability to interpret and troubleshoot applications using logs.
    • Pro-active approach and good communication skills.
    • Experience with agile methodologies (Scrum, Kanban) and tools (Jira)

    Nice to Have:
    • Private Banking domain experience.
    • Working experience in a financial service industry
    • Financial application knowledge like FIS AddVantage, CRD, CRM Pivotal.
    • Experience with Apache Airflow for workflow orchestration.
    • Knowledge of dbt (Data Build Tool) for modern data transformations.
    • Exposure to cloud data platforms or hybrid data architectures.

    Key Competencies:
    • Strong analytical and problem-solving skills
    • Ability to work with large-scale enterprise data environments
    • Excellent collaboration and communication skills
    • Ability to manage multiple priorities in a fast-paced environment
    • Commitment to continuous learning and technology innovation