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Remote Data Engineering Jobs in Worcester, MA (NOW HIRING)

Data Product Manager

Marlborough, MA ยท Remote

$50 - $65/hr

Remote (Preference for candidates local to Marlborough, MA) Start Date Is: ASAP Duration: 6-month ... Partner with data engineering and data science teams to deliver scalable data solutions.

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Energy Engineer

Needham, MA ยท On-site +1

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Cloud Data Engineer

Woonsocket, RI ยท On-site +1

$53.50 - $71.50/hr

Remote Duration: 12+ Months of Contract * Total IT exp of 5-12 years * 3+ years experience building and supporting large-scale, business-critical systems on Public Cloud (Azure/AWS/Google Cloud ...

Senior Data Protection Engineer (REMOTE)

Worcester, MA ยท Remote

$114K - $156K/yr

... Data Protection Engineer to join our IT Security organization in Worcester, MA or in a remote ... Serve as a security subject matter expert to engineering, architecture, and development teams.

Senior Data Protection Engineer (REMOTE)

Worcester, MA ยท Remote

$114K - $156K/yr

... Data Protection Engineer to join our IT Security organization in Worcester, MA or in a remote ... Serve as a security subject matter expert to engineering, architecture, and development teams.

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Remote Data Engineering information

See Worcester, MA salary details

$44.4K

$129.4K

$177.1K

How much do remote data engineering jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote data engineering 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.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

What are the key skills and qualifications needed to thrive as a remote data engineer?

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

Can you work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require strong skills in SQL, cloud platforms, and data pipeline tools, and may involve collaboration through online communication tools.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Worcester, MA? The most popular types of Data Engineering jobs in Worcester, MA are:
What are popular job titles related to Remote Data Engineering jobs in Worcester, MA? For Remote Data Engineering jobs in Worcester, MA, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Worcester, MA look for? The top searched job categories for Remote Data Engineering jobs in Worcester, MA are:
What cities near Worcester, MA are hiring for Remote Data Engineering jobs? Cities near Worcester, MA with the most Remote Data Engineering job openings:
Infographic showing various Remote Data Engineering job openings in Worcester, MA as of August 2026, with employment types broken down into 63% Full Time, and 37% Part Time. Highlights an 100% Remote job distribution, with an average salary of $129,434 per year, or $62.2 per hour.

Data Product Manager

Mondo

Marlborough, MA โ€ข Remote

$50 - $65/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 4 days ago


Job description

Apply now: Merchandise Data Product Manager, location is Remote. The start date is ASAP for this 6-month contract position.

Job Title: Merchandise Data Product ManagerLocation-Type: Remote (Preference for candidates local to Marlborough, MA)Start Date Is: ASAPDuration: 6-month contract (with possibility of extensions/conversion)Compensation Range: $50-$65/hour W2Benefits: Eligible for Health, Dental, Vision, 401KMust be authorized to work in the U.S. This position is not eligible for sponsorship.

Job Description:We're seeking an experienced Merchandise Data Product Manager to drive the strategy and roadmap for merchandising data products that support pricing, promotions, inventory optimization, and product performance. This role will partner closely with business stakeholders, data engineering, and data science teams to ensure data solutions deliver measurable business value.

Day-to-Day Responsibilities:

  • Own the product strategy and roadmap for merchandising data products.
  • Translate business requirements into data, metrics, and reporting requirements.
  • Prioritize and maintain a healthy Agile product backlog.
  • Partner with data engineering and data science teams to deliver scalable data solutions.
  • Collaborate with merchandising and operations stakeholders to identify opportunities for business value.
  • Define success metrics and ensure delivered solutions meet business expectations.
  • Drive sprint planning, backlog refinement, and stakeholder communication.
  • Support initiatives focused on pricing, promotions, assortment, inventory, and in-stock optimization.

Requirements:

Minimum Requirements:

  • 5 years of Product Management experience supporting data products.
  • Strong expertise in retail merchandising and merchandising operations.
  • Experience translating complex business requirements into data requirements, metrics, and actionable insights.
  • Experience partnering with data engineering teams to deliver data products.
  • Strong stakeholder management and communication skills.
  • Experience working in Agile/Scrum environments, including backlog management, sprint planning, and prioritization.
  • Ability to balance strategic thinking with hands-on execution.
  • Proven ability to prioritize initiatives that maximize business value.

Preferred Qualifications:

  • Experience with Databricks.
  • Experience using Jira.
  • Exposure to GenAI initiatives or AI-enabled data platforms.
  • Experience partnering with data science teams.
  • Experience improving inventory, pricing, promotional, or merchandising analytics.