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Remote Databricks Data Engineer Jobs in Massachusetts

Lancesoft

Data Engineer

Boston, MA · On-site +1

$60 - $62/hr

Remote (The person can be remote, though local to Boston.) Details: Client is seeking a Data ... Build batch/streaming ingestion pipelines (ADF/Synapse/Databricks Workflows, Event Hubs/Kafka)

Lorven Technologies

Data Engineer with AI - Remote

Boston, MA · On-site +1

$124K - $149K/yr

Data Engineer + AI Work location : Boston, MA Duration: 12 Months Job Summary: We're looking for a ... Design, build, and maintain batch/streaming pipelines in Python + PySpark on Databricks (Delta Lake ...

Paul Hastings

$194K/yr

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Hands-on expertise with PySpark and Databricks notebooks, including Delta Lake workflows;

Axiom

Data Architect (Remote)

Boston, MA · On-site +1

$69.25 - $89/hr

Data Architect 1 - US Remote About Axiom: As the leading alternative legal services provider ... Administer and govern the Databricks environment in coordination with the Data Engineer.

Roberts Recruiting

Senior Data Engineer (Remote)

Boston, MA · Remote

$115K - $156K/yr

Sr. Data EngineerEngineering Boston, Massachusetts * This is a remote or work-from-home role ... Amazon Redshift, Databricks, Snowflake, or other similar technologies * dbt, Apache Airflow, Great ...

thg

Senior Data Engineer (HYBRID in MA or REMOTE)

Worcester, MA · On-site +1

$105K - $143K/yr

... or remote work arrangement. This is a full-time, exempt position. POSITION OVERVIEW: Data ... Proven experience using Databricks and delta live tables in a data engineering context * Experience ...

thg

Senior Data Engineer (HYBRID in MA or REMOTE)

Worcester, MA · On-site +1

$105K - $143K/yr

... or remote work arrangement. This is a full-time, exempt position. POSITION OVERVIEW: Data ... Proven experience using Databricks and delta live tables in a data engineering context * Experience ...

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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:
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Remote Databricks Data Engineer jobs near you
Infographic showing various Remote Databricks Data Engineer job openings in Massachusetts as of June 2026, with employment types broken down into 72% Full Time, 19% Part Time, 2% Temporary, and 7% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Associate Data Engineer / Data Engineer II / Senior Data Engineer (REMOTE)

thg

Worcester, MA • On-site, Remote

$114K - $137K/yr

Other

Posted 2 days ago

Job description

Our Enterprise Data & Analytics, Claims Analytics, and Technology teams are growing—and we’re looking for Data Engineers at multiple levels to help power the future of data at The Hanover. 

 

POSITIONS OVERVIEW:

In these roles, you will play a key part in designing and delivering scalable, secure, and high-performing data solutions that enable analytics, reporting, and strategic decision-making across the organization. You’ll work hands-on with modern data platforms and collaborate with cross-functional partners to transform complex data into actionable insights.

Whether you’re early in your career building foundational skills or an experienced engineer leading enterprise-scale initiatives, you’ll contribute to a data-driven culture by developing reliable pipelines, advancing data quality and governance, and continuously improving our cloud-based data ecosystem.

These are full-time, exempt roles.   
POSITIONS SUMMARY:

Depending on your level, you’ll:

  • Design, build, and optimize data pipelines and ETL workflows
  • Develop scalable data models, data structures, and data integrations
  • Work with modern cloud platforms including Azure Synapse, Data Factory, Data Lake, and Databricks
  • Ensure data quality, governance, security, and compliance
  • Partner with business stakeholders, analysts, and data scientists
  • Contribute to or lead complex, cross-functional data initiatives
  • Improve platform reliability through monitoring, validation, and automation
  • Create clear documentation, runbooks, and data lineage
  • Mentor junior engineers (Senior-level roles)

Technology Stack includes: 

  • Azure Data Services (Synapse, Data Factory, ADLS)
  • Databricks, Delta Tables, Spark / PySpark
  • SQL / T-SQL, Python (plus Java/Scala in some teams)
  • Power BI and analytics tools
  • CI/CD via GitHub / Azure DevOps

Associate Data Engineer (0–2 years)

  • Build foundational skills in ETL, cloud data platforms, and data architecture
  • Work alongside experienced engineers to deliver scalable solutions
  • Ideal for candidates with strong SQL/Python fundamentals and a passion for learning

Data Engineer II (up to 5+ years)

  • Own development of pipelines, models, and datasets
  • Drive improvements in data quality, governance, and performance
  • Work independently across multiple projects with business impact

Senior Data Engineer (5+ years)

  • Lead complex data initiatives and architectural decisions
  • Design enterprise-scale data solutions in Azure
  • Mentor engineers and help establish best practices
  • Drive innovation in reliability, scalability, and cost efficiency

 

WHAT YOU NEED TO APPLY:

 

  • Degree in Data Science, Computer Science, or a related field
  • Must be eligible to work in the US without requiring any sponsorship, now or in the future (Law Permanent Residence or US Citizen
  • Experience with data engineering, ETL/ELT, and data modeling
  • Proficiency in SQL and Python (advanced at senior levels)
  • Strong problem-solving, communication, and collaboration skills
  • Experience with cloud data platforms (Azure preferred)
  • Passion for building high-quality, reliable data solutions

BONUS POINTS FOR:

 

  • Azure certifications (DP-203, DP-700)
  • Databricks / Data Lake experience
  • Power BI or analytics experience
  • Insurance or claims data knowledge

Apply