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

Data Engineer

Waltham, MA · Remote

$58/hr

Yes 100% remote! EST hours Required Skills • Skilled in object-oriented programming (Python in ... Senior Data Engineer Location: Remote As a Senior Data Engineer, you will be part of a cross ...

PL Ops - Data Engineer (Worcester or Remote)

Worcester, MA · Remote

$114.20K - $137.20K/yr

Azure/Fabric Data Factory Engineering * Design and maintain curated SQL tables/views used for analytics and reporting; optimize for refresh performance and downstream usability. * Develop and ...

PL Ops - Data Engineer (Worcester or Remote)

Worcester, MA · Remote

$114.20K - $137.20K/yr

Azure/Fabric Data Factory Engineering * Design and maintain curated SQL tables/views used for analytics and reporting; optimize for refresh performance and downstream usability. * Develop and ...

Senior Data Engineer

Needham, MA · Remote

$115.50K - $156.90K/yr

Your Location: Remote/Anywhere in the US. You Report To: Associate Director, Enterprise Data ... Lead data engineering delivery to build reliable, scalable pipeline leveraging Snowflake, Sigma and ...

Senior Data Engineer

Needham, MA · Remote

$108.50K - $147.40K/yr

Your Location: Remote/Anywhere in the US. You Report To: Associate Director, Enterprise Data ... Lead data engineering delivery to build reliable, scalable pipeline leveraging Snowflake, Sigma and ...

Senior Data Engineer

Needham, MA · On-site +1

$115.50K - $156.90K/yr

Your Location: Remote/Anywhere in the US. You Report To: Associate Director, Enterprise Data ... Lead data engineering delivery to build reliable, scalable pipeline leveraging Snowflake, Sigma and ...

Cloud Data Engineer

Woonsocket, RI · 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 ...

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Showing results 1-20

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 May 28, 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.

What are the key skills and qualifications needed to thrive as a Remote Data Engineer, and why are they important?

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.

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.

How can I make $2000 a week working from home?

Remote data engineers can earn $2000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Achieving this income often requires advanced expertise, certifications, and experience with tools such as AWS or Azure, as well as the ability to handle multiple clients or projects simultaneously.

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:

$58/hr

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Job description

Position: Senior Data Engineer
Location: Waltham, MA / Remote (EST)
Duration: 6+ Months
Client: National Grid - Boston
Visa Restrictions: None
Sub Vending: No
Pay Rate: $58/Hr on W2 without benefits
Bill Rate: $80
Candidate must have a Public Profile.
Yes
100% remote! EST hours
Required Skills
• Skilled in object-oriented programming (Python in particular) • Strong Experience in Python, PySpark and SQL • Strong Experience in Databricks • Experience developing integrations across multiple systems and APIs • Experience with or knowledge of Agile software development methodologies • Experience with cloud-based databases, specifically Azure technologies (e.g., Azure data lake, ADF, Azure DevOps and Azure Functions) • Experience using SQL queries as well as writing and perfecting SQL queries in a business environment with large-scale, complex datasets • Experience with data warehouse technologies. Experience creating ETL and/or ELT jobs • Excellent problem solving and troubleshooting skills • Process oriented with great documentation skills • Experience designing data schemas and operating SQL/NoSQL database systems is a plus
Additional Skills
• Experience in software engineering • Experience in Snowflake Experience in Kafka, Flink ,Fivetran and Matillion is nice to have • Experience in Data Science and Machine Learning is nice to have
Job Description
Position: Senior Data Engineer
Location: Remote
Job Description:
As a Senior Data Engineer, you will be part of a cross-functional development team that is focused on creating a forecasting platform at National Grid available to our business teams. Using the agile framework, you will build end-to-end pipelines based on rigorous engineering standards and coding practices to deliver data that is accessible and of the highest quality. A Senior Data Engineer will also contribute to the modernization of our architecture and tools to help increase our output, scalability, and speed.
A Senior Data Engineer will design and develop highly scalable and extensible data pipelines which enable collection, storage, distribution, modeling, and analysis of large data sets from many channels. This position requires an innovative software engineer who is passionate about data & data quality. The ideal candidate will have strong data warehousing and API integration experience and the ability to develop scalable data pipelines that make data management and analytics/reporting faster, more insightful, and more efficient.
• Develop, test, document and support scalable data pipelines
• Build out and evolve data integrations including APIs to support continuing increases in data volume and complexity
• Establish and follow data governance processes and guidelines to ensure data availability, usability, consistency, integrity, and security
• Build, implement, and maintain scalable solutions that align to our data governance standards and architectural road maps for data integrations, data storage, reporting, and analytic solutions
• Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization
• Design and develop data integrations and a data quality framework. Write unit/integration/functional tests and document work
• Design, implement, and automate deployment of our distributed system for collecting and processing streaming events from multiple sources
• Perform data analysis needed to troubleshoot data-related issues and aid in the resolution of data issues
• Guide and mentor junior engineers on coding best practices and optimization
Qualifications:
• Education: 4-year college degree or equivalent combination of education and experience. Prefer an academic background in Computer Science, Mathematics, Statistics, or related technical field
• 5 years of relevant work experience in analytics, data engineering, business intelligence or related field
• Skilled in object-oriented programming (Python in particular)
• Strong Experience in Python, PySpark and SQL
• Strong Experience in Databricks
• Experience developing integrations across multiple systems and APIs
• Experience with or knowledge of Agile software development methodologies
• Experience with cloud-based databases, specifically Azure technologies (e.g., Azure data lake, ADF, Azure DevOps and Azure Functions)
• Experience using SQL queries as well as writing and perfecting SQL queries in a business environment with large-scale, complex datasets
• Experience with data warehouse technologies. Experience creating ETL and/or ELT jobs
• Excellent problem solving and troubleshooting skills
• Process oriented with great documentation skills
• Experience designing data schemas and operating SQL/NoSQL database systems is a plus
• Experience in Kafka, Flink ,Fivetran and Matillion is nice to have
• Experience in Data Science and Machine Learning is nice to have
Nice to have:
• Experience in software engineering
• Experience in Snowflake