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Internship Startup Data Engineer Jobs in Boston, MA

Data Engineer

Boston, MA

$124K - $149K/yr

What You'll Bring * 1-3 years of hands-on experience in data engineering, software engineering, or a related field - or equivalent demonstrated skills through internships, academic projects, or self ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

What You'll Bring * 1-3 years of hands-on experience in data engineering, software engineering, or a related field - or equivalent demonstrated skills through internships, academic projects, or self ...

Data Engineer

Boston, MA · Remote

$117K - $140K/yr

What You Bring 3-6+ years of experience in a data engineering or analytics engineering role, ideally at a high-growth startup or in a domain involving complex, real-time data (energy, fintech ...

Data Engineer

Somerville, MA · On-site

$125K - $150K/yr

Position Overview Matterworks is seeking a Data Engineer to build and run the pipelines behind our ... A passion for contributing to an early-stage startup where autonomy, eagerness to learn, and ...

Lead Data Engineer (Python, AWS)

Cambridge, MA · On-site

$125K - $150K/yr

Lead Data Engineer (Python, AWS) Do you love building and pioneering in the technology space? Do ... At least 4 years of experience in application development (Internship experience does not apply)

Senior Data Engineer

West Roxbury, MA · On-site

$120K - $140K/yr

The Team At ABCorp, we know that our legacy and decades of achievement are powered by an exceptional team that embodies a true startup mindset. The Platform Engineering Team at ABCorp builds the data ...

Process Engineering Intern: Contributed to the startup activities of a new chemical process ... Evonik's Internship Program, click here: There is no better time than right now to build your ...

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Internship Startup Data Engineer information

See Boston, MA salary details

$14

$27

$42

How much do internship startup data engineer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for internship startup data engineer in Boston, MA is $27.61, according to ZipRecruiter salary data. Most workers in this role earn between $22.45 and $31.35 per hour, depending on experience, location, and employer.

What does an internship startup data engineer do?

An Internship Startup Data Engineer assists in building and maintaining data pipelines and architectures that help startups collect, process, and analyze data. They often work closely with engineers and data scientists to ensure data is accessible and reliable for business needs. Responsibilities may include cleaning and transforming raw data, working with databases, and helping implement data solutions in cloud environments. Interns are expected to learn quickly, adapt to fast-paced changes, and contribute to projects that impact the startup’s growth.

What types of projects and responsibilities can I expect as an internship startup data engineer?

As an Internship Startup Data Engineer, you'll typically work on a variety of hands-on projects such as building data pipelines, cleaning and transforming raw data, and assisting with setting up databases or cloud data solutions. You may collaborate closely with software engineers, data scientists, and product managers to support analytics initiatives or improve data infrastructure. Startups often provide interns with opportunities to take ownership of smaller projects and contribute directly to core products, offering valuable exposure to the full lifecycle of data engineering tasks. Expect a fast-paced environment where adaptability and proactive learning are highly valued.

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

To excel as an Internship Startup Data Engineer, you typically need a background in computer science, statistics, or a related field, along with foundational knowledge in data structures and algorithms. Familiarity with programming languages like Python or SQL, experience with data processing frameworks (such as Pandas or Spark), and version control tools like Git are commonly required. Strong problem-solving abilities, adaptability, and effective communication skills will help you stand out in a dynamic startup environment. These skills are essential for efficiently managing and analyzing data to support rapid product development and informed decision-making in a fast-paced setting.

What is the difference between Internship Startup Data Engineer vs Junior Data Analyst?

AspectInternship Startup Data EngineerJunior Data Analyst
Required CredentialsBasic programming, SQL, data managementStatistical knowledge, Excel, SQL
Work EnvironmentStartup, fast-paced, hands-on projectsCorporate or startup, data reporting and analysis
Employer & Industry UsageTech startups, data-driven companiesVarious industries, marketing, finance, retail
Search & Comparison IntentLearning, entry-level experience, internship opportunitiesData analysis skills, entry-level roles

Internship Startup Data Engineers focus on building data pipelines and managing data infrastructure, often requiring basic programming and SQL skills. Junior Data Analysts primarily analyze data, generate reports, and interpret results. Both roles are entry-level but differ in technical focus and daily tasks, with internships offering hands-on experience in startup environments and analyst roles emphasizing data interpretation.

What are the most commonly searched types of Startup Data Engineer jobs in Boston, MA?

The most popular types of Startup Data Engineer jobs in Boston, MA are:

What are popular job titles related to Internship Startup Data Engineer jobs in Boston, MA?

For Internship Startup Data Engineer jobs in Boston, MA, the most frequently searched job titles are:

What cities near Boston, MA are hiring for Internship Startup Data Engineer jobs?

Cities near Boston, MA with the most Internship Startup Data Engineer job openings:

Infographic showing various Internship Startup Data Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 10% Internship, 55% Full Time, 13% Part Time, and 22% Contract. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $57,435 per year, or $27.6 per hour.

$124K - $149K/yr

Full-time

Posted 21 days ago


Hasbro rating

7.9

Company rating: 7.9 out of 10

Based on 9 frontline employees who took The Breakroom Quiz


Job description

Step Into the Multiverse: Your Next Adventure Starts Here

At Wizards of the Coast, we harness the power of imagination and connection to create unforgettable experiences. We create entertainment that inspires creativity, sparks passion, forges friendships, and fosters communities around the globe. In every pursuit our mission is to inspire a lifetime love of games. Whether it's through the strategic depth of Magic: The Gathering, the rich storytelling of Dungeons & Dragons, or our AAA digital game studios, we build worlds that bring people together, spark creativity, and fuel adventure. As we continue to grow and explore new realms, we're seeking passionate, curious, and innovative minds to join the adventure.

We are growing our Enterprise Data & Engineering team!

Do you have a passion for data and a drive to build things that matter? We're looking for a Data Engineer to join our high-visibility Enterprise Data & Engineering team, helping Hasbro better reach consumers with compelling products and entertainment. This is a great opportunity for an emerging engineer eager to grow their skills and make a real impact in a collaborative, data-driven environment.

In this role, you will contribute to the development and optimization of data pipelines, transformations, and analytics infrastructure that power decision-making across the business. You'll work alongside senior engineers, data scientists, and analysts, gaining hands-on experience with modern cloud data platforms and growing into the kind of engineer who can one day lead complex, enterprise-scale data initiatives.

We value diverse perspectives and welcome candidates who bring different experiences and approaches to solving data challenges.

What You'll Do

  • Build, maintain, and optimize data pipelines and ETL/ELT workflows that move and transform data across cloud platforms including Azure and AWS.
  • Write and tune complex SQL queries to support analytics, reporting, and data modeling needs.
  • Participate in the design and implementation of data engineering infrastructure, learning standards from senior engineers and technical leads.
  • Support data quality monitoring and validation efforts, helping to ensure the accuracy, completeness, and reliability of data products.
  • Contribute to code reviews, testing, and documentation as part of a culture of engineering excellence.
  • Collaborate with data scientists, analytics engineers, and business partners to understand data needs and deliver scalable solutions.
  • Assist in the integration of AI and machine learning solutions into data workflows to improve efficiency and elevate the consumer experience.
  • Develop familiarity with data governance principles, including metadata management and data lineage.

What You'll Bring

  • 1-3 years of hands-on experience in data engineering, software engineering, or a related field - or equivalent demonstrated skills through internships, academic projects, or self-directed work.
  • Solid foundation in SQL; experience writing queries to extract, transform, and analyze data.
  • Exposure to at least one scripting language (Python preferred) for data manipulation, automation, or pipeline development.
  • Familiarity with cloud-based data ecosystems (Azure, AWS, or GCP) and a curiosity to deepen that knowledge.
  • Understanding of core data engineering concepts: ETL/ELT pipelines, data warehousing, and batch processing.
  • Awareness of or interest in tools like DBT, Databricks, Airflow, Snowflake, or Kafka - experience with any is a plus.
  • A self-starter mindset with genuine curiosity for solving unstructured data problems and working with large datasets.
  • Familiarity with or curiosity about AI-enabled development tools (such as GitHub Copilot, Cursor, or similar coding assistants) and an interest in leveraging them to write better code, accelerate development, and improve engineering workflows.
  • Strong written and verbal communication skills, with the ability to work effectively across technical and non-technical teams.
  • Bachelor's or master's degree in Computer Science, Information Systems, or a related field, with equivalent experience accepted.

At Wizards, we believe in the magic of diversity-great ideas come from unique perspectives. We are committed to building an inclusive, welcoming workplace where everyone belongs. Wizards is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, or any other legally protected status.

Wizardswill provide reasonable accommodations with the application process, upon your request, as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact your recruiter or coordinator.  


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