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Data Engineer Intern Remote Jobs in Cambridge, MA

Data Engineer

Burlington, MA · Remote

$117K - $140K/yr

This is NOT a fully remote position! * 4-6 years of experience as a Data Engineer, Backend Engineer, Database Engineer, or similar role. * Strong programming experience in Python, C++, Golang, or ...

Data Engineer

Boston, MA · Remote

$137K/yr

Data Engineer Job Duties: * Discover hidden information using massive datasets and leveraging ... This position is eligible for fully remote work from any location in the United States. Minimum ...

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

AI Data Engineer

Boston, MA · Remote

$117K - $140K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

... engineers to focus on higher-order problems. This is a fully remote position. The program runs ... How to automate the ML lifecycle from data ingestion through deployment and monitoring Business ...

Principal Data Engineer

Boston, MA · On-site +1

$190K - $210K/yr

This role is fully remote working anywhere in the US. What success looks like * You partner with ... data engineering, data platforms, and infrastructure for data-centric applications * Strong ...

Senior Data Engineer

Boston, MA · Remote

$108K - $147K/yr

As a Senior Data Engineer , you will work closely with cross-functional teams to ensure our data ... Fully remote role within the United States * Periodic travel (approximately 5%) for team meetings ...

Principal Data Engineer

Boston, MA · On-site +1

$190K - $210K/yr

This role is fully remote working anywhere in the US. What success looks like * You partner with ... data engineering, data platforms, and infrastructure for data-centric applications * Strong ...

Senior Data Engineer

Boston, MA · Remote

$108K - $147K/yr

We are looking for a Senior Data Engineer to help design, build, and scale the data systems that ... This role is primarily remote, US-based, and operates largely in EST hours, with occasional travel ...

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 ...

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Showing results 1-20

Data Engineer Intern Remote information

See Cambridge, MA salary details

$14

$27

$42

How much do data engineer intern remote jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for data engineer intern remote in Cambridge, MA is $27.78, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $31.54 per hour, depending on experience, location, and employer.

What does a data engineer intern do in a remote position?

A Data Engineer Intern in a remote role assists with designing, building, and maintaining data pipelines and databases that support data analytics and business intelligence. Typical tasks include cleaning and transforming raw data, writing code to automate data workflows, and collaborating with teams to ensure data quality and accessibility. Interns often work with tools like SQL, Python, and cloud services while gaining hands-on experience in data engineering best practices. Being remote, they use online collaboration platforms to communicate and manage projects.

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

To thrive as a Data Engineer Intern Remote, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by coursework in computer science or related fields. Familiarity with cloud platforms (such as AWS or Google Cloud), ETL tools, and data warehousing solutions is typically required. Strong problem-solving abilities, effective communication, and self-motivation are standout soft skills for remote work. These skills are essential for efficiently managing data pipelines, collaborating virtually, and delivering reliable solutions in a distributed team environment.

What types of projects do remote data engineer interns typically work on, and how do they collaborate with their teams?

Remote Data Engineer Interns often assist with tasks such as building data pipelines, cleaning datasets, and supporting the integration of data from various sources. They typically use communication tools like Slack, Zoom, and project management platforms to stay connected with their teams. Collaboration often involves regular check-ins, code reviews, and documentation to ensure alignment on project goals. Interns may also participate in sprint meetings and work closely with data engineers, analysts, and sometimes software developers to deliver project milestones.

What is the difference between Data Engineer Intern Remote vs Data Analyst Intern Remote?

AspectData Engineer Intern RemoteData Analyst Intern Remote
Required SkillsSQL, Python, ETL, data modelingSQL, Excel, data visualization tools
Work EnvironmentRemote, collaborative teams, cloud platformsRemote, reporting tools, analytics platforms
Industry UsageTech, finance, healthcareMarketing, retail, finance

While both roles involve working with data remotely, Data Engineer Intern Remote focuses on building data pipelines and infrastructure, requiring skills in SQL, Python, and ETL processes. Data Analyst Intern Remote emphasizes analyzing data and creating reports, often using Excel and visualization tools. The roles share a remote work environment but differ in technical focus and industry applications.

What cities near Cambridge, MA are hiring for Data Engineer Intern Remote jobs?

Cities near Cambridge, MA with the most Data Engineer Intern Remote job openings:

Infographic showing various Data Engineer Intern Remote job openings in Cambridge, MA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $57,782 per year, or $27.8 per hour.

Data Engineer

MatrixSpace

Burlington, MA • Remote

$117K - $140K/yr

Full-time

Re-posted 27 days ago


Job description

Help build the data infrastructure that enables MatrixSpace to continuously learn from real-world radar deployments.

MatrixSpace develops AI-enabled radar and sensing systems that help people understand what's happening in the world around them. By combining advanced radar, edge computing, and AI, we deliver situational awareness in environments where traditional sensing solutions struggle.

We're looking for a hands-on Data Engineer to design, build, and optimize the data infrastructure that powers our internal engineering workflows. You'll build scalable pipelines that ingest and organize data collected from MatrixSpace systems deployed in the field, enabling our engineering teams to improve AI algorithms, develop new sensing capabilities, and build the next generation of our platform. 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 robust data systems at scale, we'd love to talk.

What You'll Do

  • Design the internal data platform that enables engineering teams to ingest, organize, and analyze data collected from deployed radar systems.
  • Build the internal data platform that enables engineering teams to ingest, organize, and learn from data collected by MatrixSpace systems in the field.
  • Build data ingestion, transformation, enrichment, aggregation, and publishing workflows.
  • Develop solutions across relational, NoSQL, in-memory, time-series, warehouse, and data lake technologies.
  • Optimize PostgreSQL databases through schema design, indexing, partitioning, and query tuning.
  • Implement advanced analytics, aggregation, and statistical processing across large datasets.
  • Monitor pipeline reliability, performance, data quality, and system observability.

What We're Looking For

This position requires working directly or indirectly with the US Government in restricted environments. Candidates must be legally authorized to work in the United States without employer sponsorship and may be required to obtain and maintain a U.S. government security clearance in the future.

This is NOT a fully remote position!

  • 4-6 years of experience as a Data Engineer, Backend Engineer, Database Engineer, or similar role.
  • Strong programming experience in Python, C++, Golang, or similar languages.
  • Experience building and operating real-time and batch data pipelines in production environments.
  • Deep expertise with PostgreSQL, including performance tuning, indexing, partitioning, and schema design.
  • Experience with NoSQL, in-memory databases, and large-scale data processing systems.
  • Strong communication skills and the ability to collaborate across engineering, analytics, product, and infrastructure teams.

Someone Who Will Thrive in This Role

  • Thinks like a platform engineer and enjoys building tools that make other engineers more effective.
  • Likes designing systems that will grow with the company over many years rather than simply solving today's problem.
  • Enjoys working behind the scenes to enable AI, autonomy, and engineering teams.
  • Takes ownership of systems from design through production operations.
  • Values data quality, reliability, and observability.
  • Collaborates effectively with both technical and non-technical stakeholders.
  • Balances long-term platform thinking with practical delivery needs.
  • Enjoys exploring databases, distributed systems, analytics, or data-intensive side projects.

Bonus Points

  • Experience with Kafka, Redpanda, RabbitMQ, Pulsar, or other streaming technologies.
  • Experience with AWS or cloud-based data platforms.
  • Experience with S3, Parquet, ORC, Delta Lake, or modern data lake architectures.
  • Experience with orchestration tools such as Airflow, Dagster, or Prefect.
  • Knowledge of distributed systems, caching, replication, sharding, and high-availability database design.

At MatrixSpace, Data Engineering is where critical information becomes actionable insight. This isn't a role focused on maintaining legacy systems or reacting to operational issues. Instead, you'll help lay the technical foundation that allows MatrixSpace to collect, organize, and learn from massive amounts of sensor data for years to come.