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Remote Databricks Data Engineer Jobs in Massachusetts

We are looking for a Staff Data Engineer to design, build, and scale the data systems that power ... This role is primarily remote, US-based, and operates largely in EST hours, with occasional travel ...

Sr. Data Engineer

Boston, MA ยท On-site +1

$145K - $170K/yr

We are looking for a collaborative Senior Data Engineer . You have a strong inclination to work in ... New employee home office setup reimbursement This role can be remote in the United States or hybrid ...

Architect Data Engineer - AI Platforms Experience Level: 10+ yrs Work Location ... US East/Canada (Remote) Role Overview: Lead the architectural vision for a next-generation data ...

Senior Data Engineer

Boston, MA ยท Remote

$115K - $156K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

$185K - $224K/yr

... Engineering. From mobile apps and websites to voice UI, chatbots, AI, customer service, and in ... Boston, MA, Columbus, OH, Charlottesville, VA, or Durham, NC, OR in a Work From Anywhere (Remote ...

Data & AI Engineer (Remote)

Salem, MA ยท Remote

$125K - $150K/yr

We're seeking a Data & AI Engineer to develop intelligent data pipelines and analytics solutions that power smarter decisions across silicon design, verification, and manufacturing. You'll transform ...

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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 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.
Staff Data Engineer

Staff Data Engineer

Foley

Boston, MA โ€ข Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago


Job description

We are looking for a Staff Data Engineer to design, build, and scale the data systems that power how Foley operates and grows. In this role, you will lead the development of reliable data pipelines, shape our enterprise data architecture, and establish high standards for how data is modeled, governed, and accessed across the organization.

This is a highly strategic and hands-on technical leadership role. You will be the most senior data engineering voice on the team, partnering closely with Engineering, Product, Analytics, and business stakeholders to ensure our data systems are scalable, trusted, and built for long-term impact.

The ideal candidate combines strong data architecture depth with practical execution. They should be able to operate independently, navigate ambiguity, and make sound technical tradeoffs in a fast-moving environment.

What Youโ€™ll DoData Architecture and Strategy
  • Lead the design and evolution of Foleyโ€™s enterprise data architecture

  • Contribute to the ongoing development of our Enterprise Data Model

  • Define standards and best practices for data modeling, storage, access, and reliability

  • Drive architectural decisions that balance scalability, maintainability, and performance

Pipeline Development and Execution
  • Design, build, and maintain scalable data pipelines across internal systems, vendor platforms, and the data warehouse

  • Improve data quality, observability, and reliability across core workflows

  • Optimize data workflows for efficiency and long-term operational health

  • Support both batch and event-driven or CDC-based pipeline patterns

Data Modeling and Governance
  • Own schema design and warehouse modeling strategy, including dimensional and normalized approaches where appropriate

  • Help define and implement data governance best practices, including RBAC

  • Ensure shared definitions, documentation, and trust in core business data

Cross-Functional Technical Leadership
  • Serve as a thought partner to Engineering, Product, Analytics, and business teams

  • Translate technical complexity into clear recommendations and tradeoffs

  • Raise the bar for data engineering practices across the organization

  • Help the company make better decisions through strong, accessible data foundations

Innovation and Continuous Improvement
  • Identify opportunities to improve workflows through automation, tooling, and thoughtful use of AI

  • Experiment pragmatically with new technologies and scale what works

  • Build systems and guardrails that enable teams to move faster without sacrificing quality

Who You Are
  • Strong experience building and maintaining production ETL/ELT pipelines

  • Experience working across both batch and streaming / CDC / event-driven data environments

  • Proven ability to design scalable warehouse schemas and data models in a layered architecture

  • Deep knowledge of database architecture and distributed data systems

  • Experience with cross-system entity resolution and complex data modeling

  • Experience implementing data governance standards, including RBAC

  • Strong software engineering fundamentals, including reliability, backend systems, and data processing

  • Ability to operate at a Staff level, setting direction and influencing across teams

  • Strong experience with Python, SQL, and AWS data tooling including Redshift, Glue, Lambda, S3 and Data Orchestration (e.g. Airflow).

Nice-to-Haves
  • Experience supporting ML or LLM-related pipelines in production

  • Familiarity with multi-step agent orchestration frameworks such as LangGraph

  • Experience partnering with Data Science teams to operationalize data products

  • Experience helping organizations introduce AI-enabled workflows in a thoughtful, production-oriented way

You Might Thrive in This Role If You
  • Think in systems and tradeoffs, not just tools

  • Enjoy solving ambiguous data problems and turning them into scalable solutions

  • Can communicate clearly with both technical and non-technical stakeholders

  • Take ownership and raise the bar for those around you

  • Are curious about using AI and automation to improve how work gets done, while maintaining strong technical standards

Location: This role is primarily remote, US-based, and operates largely in EST hours, with occasional travel for team collaboration and company events.

About us

At Foley, weโ€™re reimagining how safety-sensitive industries hire, stay compliant, and manage risk. Weโ€™ve evolved into a modern SaaS company with an all-in-one, AI-ready platform that helps transportation, construction, distribution, and utility businesses operate faster, smarter, and safer.

As we continue to grow, weโ€™re looking for curious, strategic thinkers who thrive in complexity, are motivated by making an impact, and want to join a team thatโ€™s passionate about building great products and supporting customers. Our core values โ€” Teammateship, Grit, and Innovation โ€” guide everything we do. Whether weโ€™re collaborating internally or helping customers, we approach every challenge with optimism, humor, and a shared commitment to success.

Benefits
Foley offers a comprehensive benefits package that includes medical, dental, and vision coverage, a 401(k) with company match, paid time off and holidays, wellness programs, and an employee assistance program.

Equal Employment Opportunity
Foley is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, or any other legally protected characteristic.

Reasonable Accommodations
If you require a reasonable accommodation during the application or interview process, please contact us at careers@foley.io

Employment Status
Employment with Foley is on an at-will basis. Nothing in this job posting or in future communications should be construed as a contract of employment.

Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Privacy Policy: Please see our Applicant Privacy Policy for more information on how Foley processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.