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New Grad Data Engineer Jobs in Massachusetts (NOW HIRING)

Staff Data Engineer

Cambridge, MA · On-site

$200K - $325K/yr

Today, Iterative Health is headquartered in Cambridge, Massachusetts, and New York City with 250 ... You'll own data quality and observability as foundational engineering problems. You'll also have a ...

Senior Data Engineer

Boston, MA · On-site

$115K - $156K/yr

This is an exciting opportunity to support the execution of Sungage's new data warehouse and inform the company's evolving data architecture. The Data Engineer will be responsible for expanding ...

Senior Data Engineer

Boston, MA · On-site

$115K - $156K/yr

This is an exciting opportunity to support the execution of Sungage's new data warehouse and inform the company's evolving data architecture. The Data Engineer will be responsible for expanding ...

Senior Data Engineer

Boston, MA · On-site

$115K - $156K/yr

It's transforming how we enhance customer experiences, streamline operations, and unlock new ... The Crown Is Yours As a Senior Data Engineer, you'll build the data capabilities that power ...

Senior Data Engineer

Boston, MA · On-site

$125 - $150/hr

This is an exciting opportunity to support the execution of Sungage's new data warehouse and inform the company's evolving data architecture. The Data Engineer will be responsible for expanding ...

Senior Data Engineer

Boston, MA · On-site

$115K - $156K/yr

It's transforming how we enhance customer experiences, streamline operations, and unlock new ... The Crown Is Yours As a Senior Data Engineer, you'll build the data capabilities that power ...

Senior Data Engineer

Somerville, MA · On-site

$120K - $160K/yr

As a Senior Data Engineer at VIA, you will play a pivotal role in the growth of their solutions ... Eager to explore new ideas, understand the power of feedback, and constantly seek opportunities to ...

Senior Data Engineer

Somerville, MA · On-site

$120K - $160K/yr

As a Senior Data Engineer at VIA, you will play a pivotal role in the growth of their solutions ... Eager to explore new ideas, understand the power of feedback, and constantly seek opportunities to ...

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 ... Eager to explore new ideas, understand the power of feedback, and constantly seek opportunities to ...

Data Engineering Job Category: Scientific/Technology All Job Posting Locations: Mooresville ... New Jersey, United States of America, Raynham, Massachusetts, United States of America, Warsaw ...

Data Engineering Job Category: Scientific/Technology All Job Posting Locations: Mooresville ... New Jersey, United States of America, Raynham, Massachusetts, United States of America, Warsaw ...

Data Engineering Job Category: Scientific/Technology All Job Posting Locations: Mooresville ... New Jersey, United States of America, Raynham, Massachusetts, United States of America, Warsaw ...

... whole new form! In recent years, Form Energy has earned a number of accolades, including being ... Role Description Form Energy is hiring a Staff Data Engineer to build the data systems behind our ...

Data Engineer - IBM Quantum

Boston, MA · On-site

$150 - $200/hr

The Data Engineer in this role will design and operate the data pipelines that power insight into ... We create and pioneer new markets for IBM, our partners and customers as exemplified in our ongoing ...

Showing results 41-60

New Grad Data Engineer information

What is a new grad data engineer?

A New Grad Data Engineer is an entry-level role for recent graduates who focus on designing, building, and maintaining data pipelines and infrastructure. They work with databases, ETL (Extract, Transform, Load) processes, and big data technologies to ensure efficient data flow and storage. Typically, they collaborate with data scientists, analysts, and software engineers to support data-driven decision-making. This role requires knowledge of SQL, Python, and cloud platforms, along with problem-solving and analytical skills. It is an excellent opportunity to gain hands-on experience in data engineering while learning industry best practices.

What does a new grad data engineer do?

As a New Grad Data Engineer, your day often involves writing and optimizing code for data pipelines, cleaning and transforming data, and troubleshooting any issues that arise. You’ll work closely with senior data engineers, data scientists, and sometimes business stakeholders to understand data requirements and deliver reliable solutions. Many entry-level roles emphasize learning and professional growth, so you can expect regular mentorship, code reviews, and opportunities to work on small components of larger projects. Over time, you’ll take on more complex responsibilities and contribute to the overall data infrastructure of your organization.

What are the key skills and qualifications needed to thrive as a new grad data engineer?

To thrive as a New Grad Data Engineer, you need a strong grasp of programming languages like Python or SQL, a background in computer science or a related field, and an understanding of data modeling and database concepts. Familiarity with data engineering tools such as ETL pipelines, cloud platforms like AWS or Azure, and certifications in these areas can be beneficial. Strong problem-solving skills, effective communication, and a willingness to learn are valuable soft skills for this position. These abilities ensure you can effectively handle complex data tasks, collaborate with technical teams, and adapt to evolving technologies in a fast-paced environment.

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. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Can I get a new grad data engineer job with no experience?

Securing a new grad data engineer position without experience is possible if you have relevant skills in programming, databases, and data processing tools like SQL, Python, or Spark. Entry-level roles often focus on potential and foundational knowledge, and internships or certifications can strengthen your application.

What job categories do people searching New Grad Data Engineer jobs in Massachusetts look for?

The top searched job categories for New Grad Data Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for New Grad Data Engineer jobs?

Cities in Massachusetts with the most New Grad Data Engineer job openings:

Infographic showing various New Grad Data Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Staff Data Engineer

Iterative Health

Cambridge, MA • On-site

$200K - $325K/yr

Full-time

Re-posted 15 days ago


Job description

Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes.
We built a leading performance-driven network of 100+ sites across the US, Europe, India, and Australia, conducting research directly in the communities where care is delivered across gastrointestinal, hepatology, obesity, and cardiology. By combining deep clinical trial expertise with cutting-edge AI, we connect sponsors' scientific ambitions with high-performing research teams that expedite and expand access to novel therapeutics for patients in need. Today, Iterative Health is headquartered in Cambridge, Massachusetts, and New York City with 250+ employees world-wide.
About the Role
Accelerating clinical research is one of the defining challenges in healthcare. Promising therapies exist that patients can't access because the operational infrastructure to run clinical trials efficiently doesn't exist yet. We're building it. That means designing technology systems that bring order to a fragmented landscape of clinical data sources, automating the operational work that slows trials down, and turning real-world clinical data into a foundation for predictive intelligence.
We're building a uniquely valuable data asset: real-world patient and research data flowing across 80+ trial sites, spanning dozens of EHRs and clinical systems, focused on patient populations that are chronically underserved by existing clinical research infrastructure. Your job is to build the pipelines, data models, and AI infrastructure that make this asset real, from ingestion and normalization through to the systems that power predictions on top of it. You'll own data quality and observability as foundational engineering problems. You'll also have a direct hand in shaping how this data drives our AI strategy, what we model, what we predict, and what becomes possible.
This is an opportunity for someone who wants to be part of a small, fast-moving engineering team at a formative stage. You'll shape what gets built, how decisions get made, and what the team becomes.
Responsibilities
  • Own the data layer and architecture: the models, schemas, and infrastructure decisions that everything downstream depends on
  • Build and operate the pipelines and transformations that move data from ingestion through normalization, enrichment, and into the formats that support analytics, ML training, and production model serving
  • Own data quality and observability: build the systems that make data issues visible and correctable before they compound
  • Partner with ML and engineering teams to identify what's modelable, define training data requirements, and build the data foundations for new predictive capabilities
  • Define how clinical and operational data is governed across the system
  • Evaluate and select the tools and technologies that make up the data stack, with a clear point of view on build vs. buy
  • Help shape the engineering culture of a small, growing team: how technical decisions get made, how problems get debated, what rigor looks like in practice

What We're Looking For
Required Qualifications
  • 10+ years of experience in data engineering or related roles, with significant time spent building data systems
  • Experience with healthcare data strongly preferred (HL7, FHIR, claims, EHR extracts) or other complex, regulated data domains
  • Deep experience modeling and integrating data from multiple heterogeneous sources with inconsistent schemas and quality
  • Experience applying AI and LLMs to data engineering problems: extraction, normalization, classification, entity resolution
  • Strong understanding of how data infrastructure supports ML workflows from feature engineering to training data pipelines to model serving
  • Fluent in SQL and at least one modern programming language (Python, Java, Scala, Go), with experience across modern data infrastructure - distributed processing, streaming, cloud-native storage, orchestration, and transformation frameworks
  • Have built data systems from early stages, making foundational decisions with incomplete information
  • Naturally raise the quality of the engineering around you through code review, design guidance, and honest technical conversation

Preferred Qualifications
  • Experience building data infrastructure that directly supports ML model training and evaluation
  • Familiarity with clinical trial operations, EDC systems, or life sciences data
  • SOC 2, HIPAA or similar compliance experience baked into engineering practice
  • A track record of building or improving data systems that others had given up on making reliable

New York pay range
$200,000-$325,000 USD
At Iterative Health, we're actively working towards creating an environment that is representative of the diversity of patients our technology serves. We are focused on building an equitable and inclusive culture, and by extension, hiring process. If you require any accommodations to make the application process or interviewing experience more accessible to you, please contact CandidateAccommodations@iterative.health.