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Remote Databricks Data Engineer Jobs in Worcester, MA

Leidos

Power Plant SME - Electrical

Framingham, MA · On-site +1

$131K - $237K/yr

Our capabilities include engineering, planning, project management, construction management, and ... Fully remote but must be currently located within the United States. Commuting distance to Denver ...

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All JobsDatabricks Data Engineer JobsRemote Databricks Data Engineer JobsRemote Databricks Data Engineer Jobs in Worcester, MA

Remote Databricks Data Engineer information

See Worcester, MA salary details

$44.4K

$129.4K

$177.1K

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 Worcester, MA is $129,434.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,200.00 and $137,200.00 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.
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Remote Databricks Data Engineer jobs near you

Digital Product Manager - Personalization Intelligence

Amatriot Group, LLC

Marlborough, MA • On-site, Remote

$165K/yr

Full-time

Posted 4 days ago

Job description

Location: Hybrid or Remote (Marlbourough, MA)

Job Type: Full-Time

Target Salary Range*: $140,000 - $165,000

Position Overview

The Amatriot Group is seeking a Digital Product Manager - Personalization Intelligence to support BJ’s Wholesale Club out of Marlborough, Massachusetts. This role is responsible for defining and executing the product roadmap for AI-driven personalization, leveraging machine learning and data science to deliver intelligent customer experiences that drive engagement, conversion, and revenue across all customer touchpoints. This is a hybrid role, with Tuesday through Thursday in office at BJ’s Club Support Center in Marlborough, Massachusetts, and Monday and Friday remote. The ideal candidate is hybrid, though remote candidates in approved states will also be considered.

Key ResponsibilitiesProduct Strategy and Roadmap
  • Define and execute the product roadmap for Personalization Intelligence across all customer touchpoints.
  • Establish clear business goals, measurable outcomes, and prioritization strategies tied to incremental revenue and customer engagement.
  • Lead the transformation from campaign-based targeting to intelligent, model-driven personalization at scale.
  • Drive accountability for product execution, business outcomes, and roadmap delivery.
Machine Learning Product Lifecycle
  • Partner closely with Data Science to design, develop, and scale recommendation engines, propensity-to-buy models, predictive engagement models, and churn prediction models.
  • Own the end-to-end machine learning product lifecycle, including business case development, model training, testing, deployment, and ongoing optimization.
  • Translate machine learning outputs into actionable personalization strategies that can be tested and measured.
  • Monitor machine learning performance metrics alongside key business KPIs to continuously optimize personalization initiatives.
Experimentation, Analytics, and Performance Measurement
  • Develop experimentation frameworks and hypotheses to measure incremental business impact.
  • Collaborate with analytics teams to establish tracking, reporting, experimentation design, and performance measurement.
  • Use data-driven decision making to maximize business impact.
Cross-Functional Collaboration and Stakeholder Management
  • Partner with cross-functional teams, including Data Science, Engineering, Analytics, and Business leaders.
  • Influence technical and non-technical stakeholders through excellent verbal and written communication.
  • Collaborate across product, engineering, data science, analytics, and business teams to align priorities and deliver measurable results.
  • Balance customer needs, technical feasibility, and business priorities when making product decisions.
QualificationsExperience
  • 4+ years of Product Management experience.
  • Demonstrated experience delivering personalization platforms, recommendation systems, propensity-to-buy models, or other predictive machine learning products.
  • Experience partnering with cross-functional teams, including Data Science, Engineering, Analytics, and Business leaders.
Skills
  • Strong understanding of product discovery, prioritization, roadmap development, and stakeholder management.
  • Excellent verbal and written communication skills with the ability to influence technical and non-technical stakeholders.
  • Ability to effectively manage competing priorities while driving multiple initiatives simultaneously.
  • Demonstrated ownership throughout the product lifecycle.
  • Understanding of how AI-powered personalization supports broader business objectives, customer engagement, and revenue growth.
Other Requirements
  • Hybrid preferred; remote candidates in approved states will also be considered.
  • Tuesday through Thursday are in-office days at BJ’s Club Support Center in Marlborough, Massachusetts; Monday and Friday are remote.
  • Will consider candidates in years 2–3 of H-1B sponsorship with an approved I-140, as well as U.S. citizens and Green Card holders.
Preferred Qualifications

  • Retail or e-commerce experience strongly preferred.

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