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Intern Streaming Data Engineer Jobs in Framingham, MA

This is a highly visible technical leadership opportunity where you'll drive the architecture and modernization of next-generation streaming data platforms while mentoring engineers and influencing ...

Lead Data Engineer

Bedford, MA · On-site

$120K - $144K/yr

Develop batch and streaming data-processing solutions for structured, semi-structured, and ... support and for intern positions. This service is for individuals requiring reasonable ...

The ideal candidate will have extensive experience building enterprise-scale streaming platforms, developing resilient microservices, optimizing large-scale data pipelines, and driving engineering ...

Senior Data Engineer

Somerville, MA · On-site

$115K - $157K/yr

As a Senior Data Engineer at VIA, you will play a pivotal role in the growth of their solutions ... Build and manage data access layers, including REST APIs and streaming services, to empower ...

Senior Data Engineer

Somerville, MA · On-site

$115K - $157K/yr

As a Senior Data Engineer at VIA, you will play a pivotal role in the growth of their solutions ... Build and manage data access layers, including REST APIs and streaming services, to empower ...

As a Senior Data Engineer at VIA, you will play a pivotal role in the growth of their solutions ... Build and manage data access layers, including REST APIs and streaming services, to empower ...

The ideal candidate will have extensive experience building enterprise-scale streaming platforms, developing resilient microservices,optimizinglarge-scale data pipelines, and driving engineering best ...

SIEM Data Engineer

Quincy, MA · On-site

$45 - $50/hr

for SIEM Data Engineer Position Who we are looking for: Cyber Data & Analytics team is looking for ... Configure and customize CRIBL stream to efficiently route, filter & transform data streams from ...

Senior Data Engineer ID71671

Boston, MA · On-site

$115K - $156K/yr

Connect and ingest data from third-party REST APIs, event-driven streams, and batch sources into ... Apply modern software engineering standards-including design patterns, automated unit/integration ...

Build for scale - Architect and optimize reliable batch and streaming data pipelines, data models ... Collaborate broadly - Partner with engineers, product managers, data scientists, business ...

Build for scale - Architect and optimize reliable batch and streaming data pipelines, data models ... Collaborate broadly - Partner with engineers, product managers, data scientists, business ...

Build and maintain batch and streaming data solutions, including ingestion, transformation, and ... Support and guide junior engineers through technical leadership and mentoring * Contribute to ...

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Intern Streaming Data Engineer information

See Framingham, MA salary details

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

As of Aug 19, 2026, the average hourly pay for intern streaming data engineer in Framingham, MA is $26.14, according to ZipRecruiter salary data. Most workers in this role earn between $21.25 and $29.66 per hour, depending on experience, location, and employer.

What does an intern streaming data engineer do?

An Intern Streaming Data Engineer assists in designing, developing, and maintaining systems that process real-time data streams. They typically work with technologies like Apache Kafka, Apache Flink, or Spark Streaming to collect, process, and analyze data as it arrives. Their responsibilities may include writing code, troubleshooting data pipelines, and collaborating with senior engineers to ensure data flows efficiently. The role is ideal for students or recent graduates looking to gain hands-on experience with big data and real-time analytics.

What types of projects or tasks can an intern streaming data engineer expect to work on during their internship?

As an Intern Streaming Data Engineer, you can expect to work on projects involving the development, testing, and optimization of real-time data pipelines. Typical tasks may include assisting with the integration of streaming platforms like Apache Kafka or AWS Kinesis, writing and debugging code to process large volumes of incoming data, and collaborating with senior engineers to ensure data quality and reliability. You'll often work within a team of data engineers and analysts, gaining hands-on experience with the latest big data tools and contributing to solutions that support real-time analytics and business decision-making.

What are the key skills and qualifications needed to thrive as an intern streaming data engineer, and why are they important?

To thrive as an Intern Streaming Data Engineer, you typically need foundational knowledge in computer science, data engineering concepts, and familiarity with real-time data processing. Experience with tools like Apache Kafka, Apache Flink, or Spark Streaming, and programming languages such as Python or Java, is often preferred. Strong problem-solving skills, attention to detail, and effective teamwork and communication abilities help set candidates apart. These skills and qualifications are crucial for efficiently building, maintaining, and troubleshooting streaming data pipelines in dynamic data-driven environments.

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

AspectIntern Streaming Data EngineerIntern Data Analyst
Required SkillsKnowledge of streaming platforms (e.g., Kafka, Spark Streaming), programming (Python, Java), data pipeline developmentData analysis, SQL, Excel, basic statistical skills
Work EnvironmentDeveloping real-time data pipelines, working with big data toolsAnalyzing stored data, generating reports and insights
Industry UsageTech, finance, e-commerce companies focusing on real-time data processingMarketing, business intelligence, research departments

The Intern Streaming Data Engineer focuses on building and maintaining real-time data pipelines using streaming technologies, requiring programming and big data skills. In contrast, the Intern Data Analyst primarily analyzes stored data to generate insights, emphasizing statistical and reporting skills. Both roles are common in data-driven industries but serve different functions within data management and analysis.

What job categories do people searching Intern Streaming Data Engineer jobs in Framingham, MA look for?

The top searched job categories for Intern Streaming Data Engineer jobs in Framingham, MA are:

Infographic showing various Intern Streaming Data Engineer job openings in Framingham, MA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $54,380 per year, or $26.1 per hour.

Principal Data Engineer

Motion Recruitment

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago


Job description

Job Description

A global financial technology leader is hiring a Principal Data Engineer to join its hybrid engineering team in Waltham, MA. This full-time role focuses on designing and building enterprise-scale, real-time data platforms that power mission-critical financial applications.

This is a highly visible technical leadership opportunity where you'll drive the architecture and modernization of next-generation streaming data platforms while mentoring engineers and influencing engineering standards across the organization. The team is looking for someone who thrives in complex distributed environments, enjoys solving large-scale performance challenges, and wants to build resilient, cloud-native systems using cutting-edge event streaming technologies. 

Required Skills & Experience

· 8+ years of experience in data engineering, software engineering, or backend platform development
· Expert-level Python development for data processing, automation, and scalable backend applications
· Advanced SQL skills including complex query development, CTEs, window functions, performance tuning, and query optimization
· Extensive experience designing and building scalable ETL/ELT pipelines and distributed data processing systems
· Strong experience with cloud-native data platforms on AWS, including Redshift, S3, Lambda, Glue, and related services
· Experience with Apache Kafka and event-driven data architectures
· Experience building and orchestrating batch and streaming data pipelines using tools such as Airflow, Spark, or Flink
· Strong knowledge of relational databases including PostgreSQL, Oracle, Amazon Redshift, and Aurora, with expertise in schema design and data modeling
· Experience with containerization and Infrastructure as Code using Docker, Kubernetes, Terraform, or CloudFormation
· Experience building CI/CD pipelines and implementing engineering best practices for production data platforms
· Experience implementing monitoring, logging, data quality, and observability solutions across enterprise data environments
· Proven ability to lead technical initiatives, mentor engineers, and collaborate across cross-functional engineering teams

What You Will Be Doing Tech Breakdown

· 40% Real-Time Data Platform & Streaming Engineering
· 30% Cloud Infrastructure, Microservices & Distributed Systems
· 20% Architecture, Technical Leadership & Platform Modernization
· 10% Observability, Performance Optimization & CI/CD

Daily Responsibilities

· 60% Hands On Engineering
· 20% Technical Leadership & Mentorship
· 20% Cross-Functional Collaboration

The Offer

You will receive the following benefits:
· Medical Insurance
· Dental Benefits
· Vision Benefits
· 401(k) with company match
· Paid Time Off (PTO)
· Paid Holidays
· Paid Parental Leave
· Professional Development Reimbursement
· Hybrid Work Environment

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.