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Data Infrastructure Engineer Jobs in Boston, MA (NOW HIRING)

Watershed Informatics

Infrastructure Engineer

Cambridge, MA · On-site

$117K - $154K/yr

The future of biology is in big data analysis, and we are on a mission to accelerate digital drug ... Role Infrastructure Engineers at Watershed engineer infrastructure to meet the high-performance ...

Watershed Informatics

Infrastructure Engineer

Cambridge, MA

$117K - $154K/yr

The future of biology is in big data analysis, and we are on a mission to accelerate digital drug ... Role Infrastructure Engineers at Watershed engineer infrastructure to meet the high-performance ...

Lever Demo 2

Infrastructure Engineer

Boston, MA

$116K - $153K/yr

The Infrastructure Engineer will act as... Superman. Job requirements * Quick learner * Ambitious ... If you would like more information about how your data is processed, please contact us. apply for ...

Lila Sciences

Staff Engineer, Data Platform

Cambridge, MA · On-site

$125K - $150K/yr

The data platform team is responsible for the infrastructure that moves, stores, transforms, and surfaces this data across the organization. We are looking for a Staff Engineer to set the technical ...

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All JobsData Infrastructure Engineer JobsData Infrastructure Engineer Jobs in Boston, MA

Data Infrastructure Engineer information

See Boston, MA salary details

$50.5K

$138K

$197.7K

How much do data infrastructure engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for data infrastructure engineer in Boston, MA is $138,037.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,800.00 and $153,200.00 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, and why are they important?

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 Boston, MA? For Data Infrastructure Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Data Infrastructure Engineer jobs in Boston, MA look for? The top searched job categories for Data Infrastructure Engineer jobs in Boston, MA are:
Data Infrastructure Engineer jobs near you

Data Infrastructure Architect

Rootshell Enterprise Technologies, Inc.

Boston, MA • On-site

$71.50 - $91.50/hr

Full-time

Re-posted 2 hours ago

Job description

Hello All,
Greetings from Rootshell Inc.
Rootshell Enterprise Technologies Inc. is a recognized provider of professional IT Consulting services in the US. We are actively seeking Data Infrastructure Architect for one of our client, Please share your resume with current location & full contact info
Role:Data Infrastructure Architect
Location:Boston, MA
Job description
Job Description:
We are seeking an experienced Cloud Infrastructure . The ideal candidate will have a strong background in cloud management, data warehousing, automation, and DevOps, as well as expertise in managing BI tools and infrastructure. This role requires a hands-on professional who can manage and optimize cloud resources, implement automation pipelines, and oversee the infrastructure supporting data-driven business intelligence initiatives.
Key Responsibilities:
Cloud Management:
  • Manage and optimize resources on Microsoft Azure and Google Cloud Platform (Google Cloud Platform).
  • Ensure high availability, performance, and security of cloud-based services and solutions.

Data Warehousing:
  • Design and manage data models in Snowflake and BigQuery to support business intelligence and analytics.
  • Implement best practices for data governance, security, and compliance within Snowflake and other cloud-based data platforms.

Automation and DevOps:
  • Lead the development and maintenance of Ansible scripts for configuration management and automation.
  • Implement and maintain CI/CD pipelines to ensure smooth and reliable software deployments across environments.

BI Tools Infrastructure:
  • Oversee the infrastructure supporting Tableau and Qlik, ensuring optimal performance for data visualization and analysis.
  • Integrate BI tools with data sources to enable seamless data flow and real-time analytics.

User and License Management:
  • Manage user access and licenses for BI tools, ensuring compliance with organizational policies and cost efficiency.
  • Provide training and support for users to enhance tool adoption and proficiency.

Infrastructure as Code (IaC):
  • Champion the use of Infrastructure as Code (IaC) principles to manage and provision infrastructure resources.
  • Ensure consistency, scalability, and repeatability in infrastructure deployments using IaC frameworks.

Server Administration:
  • Troubleshoot and resolve complex server and infrastructure issues promptly, ensuring minimal downtime.

Monitoring and Optimization:
  • Implement and manage monitoring solutions to ensure system health, performance, and availability.
  • Continuously optimize infrastructure for cost-efficiency and performance across cloud and on-premise systems.

Kubernetes Workload CI/CD:
  • Implement CI/CD pipelines specifically for Kubernetes workloads to automate deployment processes.
  • Ensure seamless integration, deployment, and scaling of containerized applications within Kubernetes environments.

Qualifications:
  • Proven experience managing cloud infrastructure, preferably in Azure and Google Cloud Platform environments.
  • Strong experience with Snowflake, BigQuery, and other data warehousing solutions.
  • Hands-on experience with Ansible, CI/CD pipelines, and Kubernetes.
  • Expertise in managing and optimizing BI tools like Tableau and Qlik.
  • Knowledge of Infrastructure as Code (IaC) principles and tools.
  • Strong troubleshooting and server administration skills.
  • Experience with monitoring and optimization tools for cloud and on-premise infrastructure.

Thanks & Regards
Sayeed
Rootshell Enterprise Technologies Inc.
sayeed@rootshellinc.com

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