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

Sr. Infrastructure Engineer

Billerica, MA ยท On-site

$125K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

SW Infrastructure Engineer II

Marlborough, MA

$111K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a Software infrastructure Engineer to join the SPY-6 Family of Radars (FoR ... data analysis and software tools development. A person who is successful in this role understands ...

Data Platform Engineer

Boston, MA ยท On-site

$124K - $149K/yr

  • Medical

  • Life

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 Platform Engineer

Boston, MA ยท On-site

$124K - $149K/yr

  • Medical

  • Life

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 ...

SW Infrastructure Engineer II

Marlborough, MA

$111K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a Software infrastructure Engineer to join the SPY-6 Family of Radars (FoR ... data analysis and software tools development. A person who is successful in this role understands ...

AI Data Engineer

Andover, MA ยท Remote

$150K/yr

AI Data Engineer - Remote Bright Vision Technologies is a technology consulting and software ... Stay current with AI data infrastructure research and emerging open-source tools. Required ...

Security Infrastructure Engineer

Woburn, MA ยท On-site

$90K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

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 ...

Staff Engineer, Data Platform

Cambridge, MA ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

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 ...

Senior Data Engineer

Boston, MA ยท On-site

$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 ...

Staff Data Engineer

Cambridge, MA ยท 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 ...

Principal Cloud Infrastructure Engineer

Boston, MA ยท 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, ...

Staff Data Engineer

Cambridge, MA ยท 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 ...

Showing results 41-60

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 Aug 18, 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?

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 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:

Infographic showing various Data Infrastructure Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $138,037 per year, or $66.4 per hour.

Machine Learning / Reinforcement Learning Infrastructure Engineer

Eka Robotics

Cambridge, MA โ€ข On-site

$118K - $155K/yr

Full-time

Re-posted 15 days ago


Job description

Job Summary:
Eka Robotics is on a mission to build intelligence for the physical world through advanced robotics. They are seeking a Reinforcement/Machine Learning Infrastructure Engineer to design, implement, and maintain large-scale model training systems that will enhance their robotics research and deployment efforts.
Responsibilities:
โ€ข Own Training Infrastructure: Design, implement, and maintain robust systems for large-scale model training, including job orchestration, scheduling, checkpointing, and experiment tracking.
โ€ข Developer Experience & Tooling: Build streamlined, intuitive abstractions for launching, monitoring, debugging, and reproducing experiments, minimizing friction and maximizing productivity for our research teams.
โ€ข Scale Distributed Training: Work closely with researchers to reliably scale reinforcement learning and machine learning pipelines across compute clusters.
โ€ข Resource Management: Ensure efficient allocation and utilization of cloud-based compute resources while building the foundational systems needed for future scaling.
โ€ข Collaborate with Researchers: Partner with the research team to understand their needs, build infrastructure that supports cutting-edge methods, guide best practices for training at scale, and contribute to core JAX model and training code.
Qualifications:
Required:
โ€ข BS, MS or higher in Computer Science, Computer Engineering, Machine Learning or a related technical field.
โ€ข Strong software engineering fundamentals with a proven track record of building ML training infrastructure, internal developer platforms, or scalable systems.
โ€ข Hands-on experience with large-scale training using JAX (preferred), PyTorch, or TensorFlow.
โ€ข Familiarity with distributed training, multi-host setups, data pipelines, and managing workloads on cloud platforms or orchestration systems (e.g., Kubernetes, SLURM, GCP, AWS).
โ€ข Strong cross-functional communication skills, a deep ownership mindset, and a passion for building tools that improve the developer experience.
โ€ข Experience building automated testing pipelines, CI/CD for ML workflows, and custom logging/telemetry stacks.
Preferred:
โ€ข Background in robotics, reinforcement learning or other machine learning systems.
โ€ข Experience designing abstractions that balance researcher flexibility with system reliability.
Company:
Eka Robotics develops robotics and artificial intelligence systems for physical task automation. Founded in , the company is headquartered in Cambridge, MA, US, , with a team of 11-50 employees. The company is currently Early Stage.