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Data Infrastructure Engineer Jobs in Massachusetts

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 ...

Quanterix

Sr. Infrastructure Engineer

Billerica, MA · On-site

$125K - $150K/yr

... infrastructure services. In this role, you will apply a broad range of service delivery engineering ... data leakage events. • Perform other duties as assigned. BASIC QUALIFICATIONS: • Bachelor ...

Motion Recruitment

Senior Data Engineer

Boston, MA · On-site

$115K - $156K/yr

We are looking for someone who will be focused on building and maintaining the data infrastructure ... Required Skills & Experience * 7+ years of experience as a data engineer or similar role.

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 ...

ADRM Careers

Security Infrastructure Engineer

Woburn, MA · On-site

$90K - $120K/yr

We disrupt the security landscape through data-driven risk management, safeguarding critical assets ... As a Security Infrastructure Engineer at ADRM, you will be embedded as a trusted technical expert ...

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 ...

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 ... Partner with ML and engineering teams to identify what's modelable, define training data ...

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 ... Partner with ML and engineering teams to identify what's modelable, define training data ...

Wsgr

Principal Cloud Infrastructure Engineer

Boston, MA · On-site +1

$147K - $198K/yr

Ensure that solutions that are built follow vendor best practices for performance, cost, data ... * Functional understanding of Azure DevOps & CI/CD. * Experience with Power Platform, Azure DevOps, ...

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Showing results 41-60

All JobsData Infrastructure Engineer JobsData Infrastructure Engineer Jobs in Massachusetts

Data Infrastructure Engineer information

See Massachusetts salary details

$50.8K

$138.8K

$198.8K

How much do data infrastructure engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data infrastructure engineer in Massachusetts is $138,772.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,400.00 and $154,000.00 per year, depending on experience, location, and employer.

What is a data infrastructure engineer?

A Data Infrastructure Engineer is a professional who designs, builds, and maintains the systems and architecture that store, process, and manage large volumes of data for organizations. They focus on creating scalable and reliable data pipelines, ensuring data is accessible and secure, and integrating data from various sources. Their work enables data scientists, analysts, and other stakeholders to efficiently use data for decision-making and analytics. Data Infrastructure Engineers often work with tools like Hadoop, Spark, and cloud platforms, and play a critical role in supporting modern data-driven businesses.

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

To thrive as a Data Infrastructure Engineer, you need a solid background in computer science, experience with database management, and expertise in building and optimizing data pipelines, often supported by a relevant degree. Familiarity with tools and platforms like Hadoop, Spark, SQL, cloud services (AWS, Azure, GCP), and containerization technologies such as Docker and Kubernetes is typically required, alongside certifications in cloud or database technologies. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with cross-functional teams and resolve complex technical challenges. These skills and qualities are crucial for ensuring reliable, scalable, and efficient data systems that support business analytics and decision-making.

What are some typical challenges data infrastructure engineers face when scaling systems to handle increased data volume?

Data Infrastructure Engineers often encounter challenges such as ensuring data pipelines remain reliable and performant as data volume grows. This includes optimizing storage solutions, managing distributed systems, and automating data ingestion and transformation processes. Collaborating closely with data scientists and analysts is key to understanding evolving data requirements and proactively addressing potential bottlenecks. Staying updated with the latest tools and best practices helps engineers build scalable, fault-tolerant infrastructure that supports organizational growth.

What is the difference between Data Infrastructure Engineer vs Data Engineer?

AspectData Infrastructure EngineerData Engineer
Primary FocusBuilding and maintaining data infrastructure, pipelines, and storage systemsDesigning, developing, and optimizing data pipelines and models
Skills & CertificationsCloud platforms, data storage, ETL tools, scriptingSQL, Python, Spark, Hadoop, data modeling
Work EnvironmentData teams, infrastructure teams, cloud environmentsData teams, analytics teams, software engineering
Industry UsageTech, finance, healthcare, any data-driven industryTech, finance, retail, analytics-focused companies

While both roles involve working with data pipelines, Data Infrastructure Engineers focus on building and maintaining the underlying data systems and infrastructure, ensuring data availability and reliability. Data Engineers primarily develop and optimize data pipelines and models for analysis and machine learning. Both roles often collaborate but serve different aspects of data management.

What are popular job titles related to Data Infrastructure Engineer jobs in Massachusetts? For Data Infrastructure Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Data Infrastructure Engineer jobs in Massachusetts look for? The top searched job categories for Data Infrastructure Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Data Infrastructure Engineer jobs? Cities in Massachusetts with the most Data Infrastructure Engineer job openings:
Data Infrastructure Engineer jobs near you
Infographic showing various Data Infrastructure Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 72% Full Time, 14% Temporary, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $138,772 per year, or $66.7 per hour.

Data Platform Engineer

Hasbro

Boston, MA • On-site

$124K - $149K/yr

Full-time

Medical, Life

Posted 23 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

We take play seriously. We're looking for curious adventurers ready to find their party, fueled by imagination and drive to build what's never been built before. At Hasbro and Wizards of the Coast, you'll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
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're looking for a Data Platform Engineer to join the team responsible for the infrastructure, frameworks, and tools that power data and analytics across the company. In this role, you'll help build and maintain the shared platform that data engineers, analytics engineers, data scientists, and ML engineers depend on every day. You'll work closely with senior platform engineers, learning how to build and operate large-scale data infrastructure while taking on real ownership of platform components as you grow. This is a phenomenal opportunity for someone early in their career who is passionate about data infrastructure, cloud platforms, and helping others do their best work.
What You'll Do:
Platform Engineering & Support
  • 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 data platforms (Databricks and Snowflake), including monitoring, access management, and resolving performance problems.
  • Help implement and maintain infrastructure-as-code (Terraform) for data platform components, following established standards and patterns.
  • Assist in evaluating new tools and frameworks, conducting research and proof-of-concepts to inform platform decisions.

Data Warehouse & Analytics Infrastructure
  • Support the optimization and governance of our Databricks and Snowflake environments, including cost monitoring and query performance analysis.
  • Help maintain and improve platform capabilities - access patterns, environment configurations, and shared tooling - that enable data and analytics engineers and data scientists to build effectively.
  • Partner with analytics and BI teams to solve data platform issues and ensure data products remain accurate and accessible.

Streaming & Pipeline Infrastructure
  • Support the maintenance and monitoring of streaming infrastructure (Kafka and related tooling), surfacing issues and delivering fixes with mentorship from senior engineers.
  • Assist in implementing and testing pipeline framework components that enable other teams to build reliable batch and streaming workloads.

Platform Reliability & Operations
  • Monitor platform health, respond to alerts, and participate in incident response for data platform issues under the guidance of senior engineers.
  • Write and maintain documentation, runbooks, and operational guides that help the broader team maintain platform reliability.
  • Participate in post-mortems and help implement follow-up improvements.

Growth & Collaboration
  • Work closely with senior and principal platform engineers to learn platform architecture patterns and standard methodologies.
  • Collaborate with data engineering, analytics, and ML teams to understand their needs and help translate them into platform improvements.
  • Participate in code reviews and uphold high standards of quality and continuous improvement.

What You'll Bring:
Required
  • 2-4 years of experience in data engineering, software engineering, or a related technical role.
  • Familiarity with and hands-on exposure to cloud-based data platforms.
  • Solid understanding of SQL and proficiency in at least one programming language used in data engineering (Python preferred).
  • Basic understanding of data pipeline concepts - batch processing, scheduling, data modeling - and a desire to deepen that knowledge.
  • Some exposure to infrastructure-as-code concepts; hands-on experience with Terraform is a plus.
  • Familiarity with Git-based workflows and an understanding of CI/CD fundamentals (GitHub Actions, GitLab CI, or equivalent).
  • Curiosity, a growth mindset, and a track record of learning new technical skills quickly.
  • Ability to share information clearly and work together across technical teams.

Nice to Have
  • Exposure to streaming concepts or tools (Kafka, Kinesis, or similar).
  • Hands-on experience with Databricks or Snowflake is a strong plus.
  • Familiarity with modern data stack tooling: transformation, orchestration, and data catalogs.
  • Experience with cloud environments (AWS or Azure preferred).
  • Awareness of MLOps or LLM Ops concepts and the data infrastructure needs of ML teams.
  • Background in or exposure to data governance, data quality, or observability tooling.

What Success Looks Like:
In your first 90 days, you'll have a proven understanding of our data platform stack, completed onboarding to key tools and systems, and made your first contributions to platform components. Within six months, you'll be independently owning small platform tasks, actively contributing to team projects, and building the skills and context needed to take on increasing responsibility over time.
We are an Equal Opportunity / Affirmative Action Employer
Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you have a disability and require assistance in this application process and need to request an accommodation, please contact your recruiter or coordinator.
The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
#Wizards
The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Pay Range
$108,300-$162,500 USD
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
  • Health & Wellness
  • Time Off to Recharge
  • Financial Well-being
  • Life & Family Support
  • Volunteer and Community Initiatives
  • Learning & Development
  • Exclusive Perks

Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

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