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Remote Databricks Data Engineer Jobs in Massachusetts

Senior Data Protection Engineer (REMOTE)

Worcester, MA · Remote

$114K - $156K/yr

We are seeking a highly skilled Senior Data Protection Engineer to join our IT Security organization in Worcester, MA or in a remote capacity. POSITION SUMMARY: In this role, you will provide subject ...

Senior Data Protection Engineer (REMOTE)

Worcester, MA · Remote

$114K - $156K/yr

We are seeking a highly skilled Senior Data Protection Engineer to join our IT Security organization in Worcester, MA or in a remote capacity. POSITION SUMMARY: In this role, you will provide subject ...

Senior Engineer

Boston, MA · On-site +1

$135K - $175K/yr

Remote At Magnite, we cultivate an environment of continuous growth and collaboration. Our work ... Apply analytics thinking and a data-driven mindset to influence both technical and product ...

... Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Data Architect

Westwood, MA · Remote

$71.25 - $91.75/hr

... remote global workforce. If you are passionate about leading large-scale cloud and data ... Partner with product owners, domain architects, and data engineering teams to translate business ...

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Showing results 1-20

Remote Databricks Data Engineer information

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

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What is a Remote Databricks Data Engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are some common challenges faced by remote Databricks Data Engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.
What are the most commonly searched types of Databricks Data Engineer jobs in Massachusetts? The most popular types of Databricks Data Engineer jobs in Massachusetts are:
What are popular job titles related to Remote Databricks Data Engineer jobs in Massachusetts? For Remote Databricks Data Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Remote Databricks Data Engineer jobs in Massachusetts look for? The top searched job categories for Remote Databricks Data Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Databricks Data Engineer jobs? Cities in Massachusetts with the most Remote Databricks Data Engineer job openings:
Infographic showing various Remote Databricks Data Engineer job openings in Massachusetts as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 3% Temporary, and 7% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution.
Assistant Director, Data Science: Claims & Service

Assistant Director, Data Science: Claims & Service

Liberty Mutual

Boston, MA • On-site, Remote

$120K - $225K/yr

Full-time

Posted 6 days ago


Liberty Mutual rating

9.0

Company rating: 9.0 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

31st of 281 rated insurance


Job description


Description

At Liberty Mutual, the Insights & Solutions group uses data, analytics, and technology to deliver innovative solutions that drive our US Retail Markets business forward. Within it, the Claims Data Science team focuses on developing sophisticated AI/ML driven solutions to help create the most accurate, caring, and efficient claims organization in the insurance industry.

Claims Data Science is bursting with opportunity. Recent advances in Large Language Models, Computer Vision, and other technologies bring many previously impracticable business challenges into the realm of possibility for data scientists. Claims Data Science can be a key competitive advantage for Liberty Mutual in the years to come; help us build that competitive advantage!

**Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel. **

As an Assistant Director you will: 

• Apply knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets to generate insights to inform business decisions.

• Lead end-to-end development of new predictive models for high-impact business outcomes (e.g., improving claims handling efficiency): frame and test hypotheses, design statistically rigorous experiments, assemble/label training data, engineer features, and train/validate models.

• Build state-of-the-art ML systems that leverage structured data, unstructured text, and generative AI.

• Select and implement appropriate algorithms and evaluation methods to deliver measurable accuracy and business value.

• Follow ML Ops best practices to create organized code repos, production-quality code, and reproducible results.

• Stay up-to-date with the latest advancements in data science and machine learning, and apply them to solving complex problems in the insurance claims domain.

• Provide technical mentorship and guidance to junior data scientists.

• Responsible for larger components of projects of moderate to high complexity.

• Communicate findings through technical presentations, reports, and recommendations to both technical and non-technical stakeholders.

• Participate in cross-functional working groups and contribute to the broader data science community to promote best practices.

Preferred skills and experience:

• Broad conceptual understanding and practical knowledge of the end-to-end data science lifecycle.

• Exceptional hands-on data science technical skills (e.g. SQL, Python, and Statistical Inference).

• Experience collaborating with non-technical stakeholders to understand which problems need solving, design solutions, and bring them to market.

• Experience working with complex Type II data to assemble training datasets to appropriately model operational processes.

• Proficiency in Python and MLOps practices, with experience in version control (Git), code review, collaborative development workflows (e.g., GitHub/GitLab), and model versioning/experiment tracking (e.g., MLflow).

Additional skills and experiences that are nice to have:

• Knowledge of claims handling processes and experience working with claims data.

• Experience developing LLM-based solutions for production use cases.

• Practical experience with cloud platforms like AWS (preferably), Google Cloud, or Azure.

• Familiarity with data pipeline and workflow management tools like Airflow, among others.

Qualifications
  • Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
  • Expert knowledge of predictive toolset; reflects as expert resource for tool development.
  • Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
  • Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or SBU.
  • Ability to give effective training and presentations to peers, management and less senior business leaders.
  • Ability to use results of analysis to persuade team or department management to a particular course of action.
  • Has a value driven perspective with regard to understanding of work context and impact.
  • Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 2 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum of 5+ years of relevant experience.
About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices

  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco

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About Liberty Mutual

Sourced by ZipRecruiter

Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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