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Data Infrastructure Jobs in Massachusetts (NOW HIRING)

Iterative Health

Staff Data Engineer

Cambridge, MA

$200K - $325K/yr

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 ...

Iterative Health

Staff Data Engineer

Cambridge, MA · On-site

$200K - $325K/yr

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 ...

Hasbro

Data Platform Engineer

Boston, MA · On-site

$124K - $149K/yr

Build and maintain shared platform infrastructure, including data pipeline frameworks, reusable templates, and developer tooling. * Support the administration and day-to-day operations of our cloud ...

Spoiler Alert

Senior Data Engineer

Boston, MA

$115K - $156K/yr

We're building the marketplace infrastructure to transform CPG surplus into opportunity for ... Role We're hiring a Senior Data Engineer to build and own the data infrastructure that powers ...

Saviance

Data Engineer - Healthcare

Boston, MA · On-site

$124K - $149K/yr

The role involves collaborating with business teams to understand data needs and providing necessary data infrastructure. Responsibilities : • Translates business requirements into specifications ...

Hasbro

Data Platform Engineer

Boston, MA · On-site

Build and maintain shared platform infrastructure, including data pipeline frameworks, reusable templates, and developer tooling. * Support the administration and day-to-day operations of our cloud ...

Novartis

Clinical Data Engineering Lead

Cambridge, MA · On-site

In this pivotal role, you'll be responsible for shaping early clinical development by building innovative biomarker data infrastructure and championing translational research. Responsibilities : • ...

WHOOP

Senior Data Platform Engineer

Boston, MA · On-site

$115K - $156K/yr

They are seeking a Senior Data Platform Engineer to build and evolve the foundational infrastructure that powers their data platform and real-time data systems, partnering closely with various ...

Unchain Data

Forward-Deployed AI Data Engineer

Boston, MA · On-site

$120 - $190/hr

We came out of blockchain data infrastructure -- 8 years, 20+ chains, 700M+ resolved wallets -- and now deploy that capability to enterprises navigating the same challenge: how to make their data ...

Keystone

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

The Data Engineer will lead the design and implementation of scalable data workflows, architect infrastructure, and guide technical implementation across projects, supporting cross-disciplinary teams ...

Motion Recruitment Partners, LLC

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

By combining robust data infrastructure with AI-driven insights they can deliver accurate, timely, and context-heavy insights and intelligence. What we are looking for is a Data Engineer who will ...

Novartis

Clinical Data Engineering Lead

Cambridge, MA

$176K - $327K/yr

Integrate advanced tools and AI/ML-ready infrastructure to support predictive modeling, multimodal analytics, and real-world data applications. * Align clinical and pre-clinical data engineering ...

Mwe

Pricing Data Engineer

Boston, MA · On-site

$110K - $169K/yr

The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable consistent, data-driven pricing across the firm while modernizing workflows and reducing reliance on ...

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Data Infrastructure information

What is a data infrastructure?

A Data Infrastructure job focuses on designing, building, and maintaining the systems that store, process, and manage data for an organization. This includes databases, data pipelines, cloud storage, and data processing frameworks to ensure efficient data flow and accessibility. Professionals in this role work with technologies like SQL, NoSQL, Hadoop, Spark, and cloud platforms to support data engineers, analysts, and scientists. The goal is to provide a scalable, reliable, and secure foundation for handling large volumes of data.

What are some typical challenges faced in a data infrastructure role and how are they addressed?

Professionals in Data Infrastructure often face challenges such as scaling systems to handle growing data volumes, ensuring data security, and maintaining high availability. Addressing these requires proactive system monitoring, automation, regular performance tuning, and implementing best practices for backup and disaster recovery. Collaboration with data engineering, analytics, and IT security teams is essential to resolve bottlenecks and optimize data flows. Staying current with emerging technologies also helps in innovating and improving existing infrastructure over time.

What are the key skills and qualifications needed to thrive in the data infrastructure position, and why are they important?

To thrive in Data Infrastructure, you need a solid understanding of data architecture, database management, and distributed systems, often supported by a degree in computer science or a related field. Proficiency with tools such as SQL, Hadoop, Spark, AWS, and certifications like Google Cloud Professional Data Engineer are highly valued. Strong problem-solving abilities, effective teamwork, and clear communication help professionals excel in this collaborative and fast-evolving area. These skills ensure robust, scalable data systems that support reliable analytics and decision-making across the organization.

What are data infrastructure roles?

Data infrastructure roles involve designing, building, and maintaining the systems and tools that store, process, and manage data within an organization. These roles often require knowledge of databases, cloud platforms, data pipelines, and scripting languages, and they support data accessibility and security for analytics and decision-making.

What are the most commonly searched types of Data Infrastructure jobs in Massachusetts?

The most popular types of Data Infrastructure jobs in Massachusetts are:

What are popular job titles related to Data Infrastructure jobs in Massachusetts?

For Data Infrastructure jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Data Infrastructure jobs in Massachusetts look for?

The top searched job categories for Data Infrastructure jobs in Massachusetts are:

Data Infrastructure jobs near you
Infographic showing various Data Infrastructure job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Staff Data Engineer

Iterative Health

Cambridge, MA

$200K - $325K/yr

Full-time

Re-posted 29 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.