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Remote Databricks Data Engineer Jobs in Hingham, MA

BI Developer II

Boston, MA · On-site +1

$100K - $140K/yr

Partners with data engineers to leverage curated data sets in Databricks * Implements and maintains business logic, calculations, and metrics in a consistent and reusable manner * Applies data ...

... 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 ...

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Interviews: 2 rounds Top ... Build MLOps pipelines for structured/unstructured data. * Implement observability, monitoring, and ...

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Remote Databricks Data Engineer information

See Hingham, MA salary details

$46.6K

$136K

$186K

How much do remote databricks data engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote databricks data engineer in Hingham, MA is $135,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $144,100.00 per year, depending on experience, location, and employer.

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 job categories do people searching Remote Databricks Data Engineer jobs in Hingham, MA look for? The top searched job categories for Remote Databricks Data Engineer jobs in Hingham, MA are:
What cities near Hingham, MA are hiring for Remote Databricks Data Engineer jobs? Cities near Hingham, MA with the most Remote Databricks Data Engineer job openings:

Principal Data Product Scientist, DDSAI Immunology

Jj

Cambridge, MA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more athttps://www.jnj.com/innovative-medicine

Johnson & Johnson Innovative Medicine is recruiting for aPrincipal Data Product Scientist, DDSAI Immunology to join our Immunology R&D Data, Data Science & Artificial Intelligence (DDSAI) team and to enable and scale highvalue data assets across Immunology Research & Development. This position will be located on site at one of our offices in either Spring House PA, Cambridge MA, Titusville NJ, Raritan NJ, or San Diego CA (NO fully remote option available).

The Principal Data Product Scientist will operate at the intersection of Immunology scientific teams, data scientists, data engineering/platform teams, and external data partners. The focus is on translating business and scientific needs to enable effective execution of analytics, modeling, and AIenabled research. The role emphasizes data needs management, gap identification, data governance, and crossfunctional execution, with responsibility for ensuring progress against known gaps while surfacing new and emerging data opportunities.

Key Responsibilities:

Data Needs Management & Opportunity Identification

  • Partner with Immunology leadership and analytics teams to translate data gaps into clearly defined data opportunities and business needs, in coordination with the Data Strategy and Products team
  • Support strategic prioritization by assessing impact, feasibility, readiness, and dependencies associated with new data initiatives.


Data Product Ownership & Curation

  • Act as a data product owner for priority Immunology datasets, defining scope, quality expectations, documentation requirements, refresh cycles, and success metrics.
  • Work with Immunology scientists and data scientists to translate scientific questions into concrete data requirements, ensuring datasets are fitforpurpose and reusable.
  • Ensure datasets are wellcurated, discoverable, traceable, and compliant with internal standards for analytics, modeling, and AI/ML applications.


Interface with Data Engineering & Platforms

  • Possess working knowledge of the endtoend data engineering lifecycle, including Data Transfer Agreements (DTA), data access provisioning, data pipelines, harmonization and standardization, anonymization and privacy controls.
  • Interface between Immunology R&D stakeholders and data engineering/platform teams, enabling clear communication of requirements, constraints, and dependencies.
  • Align data needs with platform capabilities, ensuring that Immunology datasets are integrated, governed, and scalable within enterprise data environments.


Data Sourcing, Partnerships & Alliances

  • Coordinate data procurement activities across internal sources and external partners (e.g., RWD vendors, academic collaborators, technology partners).
  • Collaborate with Legal, Procurement, Privacy, and Compliance to support data use documentation, contracting, licensing, and governance controls.
  • Act as a key operational point of contact for external data partners, managing delivery expectations, refresh schedules, and issue resolution.


CrossFunctional Enablement & Governance

  • Ensure shared understanding and execution between data scientists, immunologists, engineers, legal, and platform teams. Establish and maintain metadata, data use documentation, lineage, and versioning to support compliance, transparency, and reuse.
  • Define and monitor operational KPIs related to data timeliness, quality, completeness, and adoption.
  • Support adoption by ensuring ease of access, documentation, and usability

Required Qualifications

  • Bachelor's degree (required) in Data Science, Bioinformatics, Computer Engineering, Computer Science, Mathematics, or Statistics.
    Advanced degree preferred.
  • 5+ years of experience in data operations, data product management, data curation, analytics enablement, or similar roles.
  • Prior experience in or closely collaborating with:
    • Technologyenabled life sciences or research platforms (e.g., digital health, research technology divisions).
  • Demonstrated ability to:
    • Track and manage evolving data demand across multiple stakeholders
    • Interface effectively with data engineering and platform teams
    • Navigate data governance, documentation, and compliance processes
  • Strong organizational and communication skills, with the ability to drive through complex, matrixed teams.

Preferred Qualifications

  • Experience supporting Immunology, oncology, or broader life sciences R&D initiatives.
  • Familiarity with healthcare and life sciences data standards (e.g., OMOP, FHIR, CDISC) and multimodal data sources.
  • Prior experience with RealWorld Data (RWD) organizations.
  • Experience acting in a liaison or productstyle role rather than a handson coding role.
  • Comfort with operating at the intersection of science, data, engineering, legal, and vendor partnerships.
  • Understanding of metadata, ontologies, and semantic layers
  • Familiarity with FAIR data principles and reusable data design

Additional Information

  • This position will be located on-site at one of our campuses in either Spring House PA, Cambridge MA, Titusville NJ, Raritan NJ, or San Diego, CA (NO remote option available). Occasional travel for crossfunctional workshops, design sessions, and team meetings may be required.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.
The anticipated base pay range for this position is $117,000 - $201,250. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
Employees are eligible for the following time off benefits:
Vacation - up to 120 hours per calendar year
Sick time - up to 40 hours per calendar year
Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year
Additional information can be found through the link below.https://www.careers.jnj.com/employee-benefits
The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.


#LI-SL
#JNJDataScience
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Required Skills:

Preferred Skills:

Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis