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Remote Databricks Data Engineer Jobs in Hingham, MA

... engineering, data modeling, or analytics in a matrixed environment. * Hands-on experience with ... Working knowledge of cloud data platforms (e.g., Databricks), ELT/ETL concepts, and release ...

Canton, MA - 100% Remote Position Overview Hiring for experienced Data Analyst to support complex ... Support ETL processes, data integrations, and data-engineering initiatives. * Create technical ...

New

PhD inMathematics,Statistics,Engineering, or other STEMfieldwith related ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Experience with Databricks, Apache Spark, or similar distributed data platforms (including cost ... Remote Work Options with Hybrid Flexibility and Home Office Set-Up Stipend • Coworking Office ...

Showing results 21-40

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 Aug 6, 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?

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:
Infographic showing various Remote Databricks Data Engineer job openings in Hingham, MA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $135,956 per year, or $65.4 per hour.

Senior Preclinical Data Engineer

ALTEN Technology USA

Boston, MA • On-site, Remote

$90K - $140K/yr

Other

Posted 2 days ago

New


Job description

We are seeking a Senior Preclinical Data Engineer to support preclinical research and development activities across multiple global sites. This is a hands-on data role focused on managing, standardizing, and supporting highly heterogeneous preclinical bench and laboratory data from multiple internal systems. The successful candidate will operate independently, helping to establish data standards, ensure data quality, support end users, and contribute to central data management initiatives.

Responsibilities:

  • Serve as the on-site point of contact for preclinical data management activities while operating under the direction of a remote platform team.
  • Collect, map, and transform heterogeneous preclinical data, including in vitro and in vivo bench/lab-generated data, from multiple internal systems into standardized and usable formats.
  • Support the development and implementation of data standards and taxonomies where no existing standards currently exist.
  • Perform data quality reviews, data cleaning, validation, and accuracy checks using SQL and Python.
  • Contribute to the loading of validated and standardized data into a central data lake.
  • Provide functional, ticket-based user support for scientists using internal preclinical research tools.
  • Troubleshoot data-loading and data-handling issues across multiple preclinical systems.
  • Support functional administration activities, including:
    • Access rights management
    • List-of-values (LOV) management
    • Functional documentation, such as methods of procedure (MOPs)
    • Business needs refinement
  • Support application testing and validation activities, including:
    • Test case development
    • Test execution
    • Validation documentation
  • Set up or support business intelligence (BI) extracts, dashboards, and reports.

Qualifications:

  • Minimum of 5 to 6 years of experience working directly with preclinical or bench/lab-generated research data.
  • Ability to work a minimum of 3 days on-site in Boston, MA.
  • Strong understanding of bench science and how scientific experiments generate data, including familiarity with outputs from techniques such as chromatography and Western blotting.
  • Demonstrated experience working with data that lacks established standards or formats, with the ability to create structure and standards from the ground up.
  • Working proficiency in SQL and basic Python for data querying, cleaning, validation, and quality review.
  • Experience providing end-user support and troubleshooting for scientific software applications or data systems.
  • Ability to work independently with remote management and limited local technical support.
  • Fluent in written and spoken English.

Preferred Qualifications:

  • Exposure to preclinical research domains such as pharmacology, toxicology, DMPK, or omics.
  • Familiarity with LIMS, ELN, or SDMS platforms.
  • Knowledge of data governance concepts, including Master Data Management (MDM), FAIR principles, and ALCOA+ data integrity practices.
  • Experience working as an embedded consultant or vendor within a client team.

Salary Range: $90,000 - $140,000 

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience.