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Data Engineering Jobs in Pepperell, MA (NOW HIRING)

Indigo Technologies

Data Engineer

Woburn, MA · On-site

$140 - $190/hr

Partner with Product, Engineering, and Operations to prioritize data needs, standardize metrics, and support experiments/dashboards. Experiential Background: * BS/MS in Computer Science or related ...

Socket.dev

Data Engineer

Woburn, MA · On-site

$110 - $150/hr

... Engineering team. The team focuses on building, supporting, and maintaining data pipelines and datasets that enable analytics, reporting, and data products across the enterprise. Day to day you will ...

MatrixSpace

Data Engineer

Burlington, MA · On-site

$110 - $160/hr

You'll work closely with engineering, product, and infrastructure teams to ensure data is accurate, performant, and accessible. If you're analytical, detail-oriented, and passionate about building ...

MatrixSpace

Data Engineer

Burlington, MA · Remote

$145K - $180K/yr

You'll work closely with engineering, product, and infrastructure teams to ensure data is accurate, performant, and accessible. If you're analytical, detail-oriented, and passionate about building ...

aPriori Technologies Inc

Senior Data Engineer

Concord, MA · On-site

$116K - $157K/yr

Leveraging your expertise in data engineering, you will design and deploy reliable, high-quality data solutions that support enterprise-scale use cases. The ideal candidate brings strong technical ...

Athari

Data Scientist

Lexington, MA · Hybrid

$75 - $100/hr

Databases and Data Engineering for Big Data Elasticsearch Statistical Methods Clearance: Candidates should have an active clearance (secret/top secret, etc.) in order to be considered for this ...

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Showing results 21-40

All JobsData Engineering JobsData Engineering Jobs in Pepperell, MA

Data Engineering information

See Pepperell, MA salary details

$47.3K

$169.6K

$250.2K

How much do data engineering jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data engineering in Pepperell, MA is $169,583.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,200.00 and $174,700.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

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

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

What are the most commonly searched types of Data Engineering jobs in Pepperell, MA?

The most popular types of Data Engineering jobs in Pepperell, MA are:

What cities near Pepperell, MA are hiring for Data Engineering jobs?

Cities near Pepperell, MA with the most Data Engineering job openings:

Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Pepperell, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $169,583 per year, or $81.5 per hour.

Data Engineer

Indigo Technologies

Woburn, MA • On-site

$140 - $190/hr

Other

Posted 5 days ago

Job description

  • Build and operate the vehicle-and-driver data platform: integrate, transform, and catalog datasets across usage, charging, maintenance, safety, and driver operations.
  • Define canonical data models and contracts; implement governance for quality, lineage, privacy, and retention.
  • Deliver analytics-ready tables, feature stores, and secure APIs for engineering, operations, and customer reporting.
  • Partner with Product, Engineering, and Operations to prioritize data needs, standardize metrics, and support experiments/dashboards.
Experiential Background:
  • BS/MS in Computer Science or related field (or equivalent experience).
  • 8+ years of practical experience building data platforms for large-scale operational, event and time-series datasets.
  • Proficiency in SQL and one at least one data engineering language; familiarity with cloud storage/retrieval/warehouse and orchestration tools.
  • Track record implementing data quality frameworks, schema/version control, and data governance (user and system privacy/security).
  • Strong data modeling and stakeholder communication; familiarity with vehicle/driver operations a plus.
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