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

Harley Ellis Devereaux

AI Platform Engineer

Boston, MA · On-site

$120K - $170K/yr

AI Platform Engineer HED is hiring an AI Platform Engineer to build durable, production-grade AI agent systems that integrate with governed data. About HED We are a team that is full of ideas ...

CodaMetrix

Principal Data Engineer

Boston, MA · Remote

The Data Platform team is responsible for executing the data strategy for the organization ... As a Principal Data Engineer (L4), you will serve as a key technical leader for CodaMetrix ...

CODAMETRIX

Principal Data Engineer

Boston, MA · On-site

$175 - $200/hr

The Data Platform team is responsible for executing the data strategy for the organization ... As a Principal Data Engineer (L4), you will serve as a key technical leader for CodaMetrix ...

Waters Corporation

Sr Platform Engineer

Milford, MA

$114K - $157K/yr

We are seeking a Senior Celonis Platform Engineer to join our Process Intelligence team and the broader Data Engineering community. In this role, you will own the Celonis platform, ensuring its ...

Waters Corporation

Sr Platform Engineer

Milford, MA · On-site

$114K - $157K/yr

We are seeking a Senior Celonis Platform Engineer to join our Process Intelligence team and the broader Data Engineering community. In this role, you will own the Celonis platform, ensuring its ...

Waters Corporation

Sr Platform Engineer

Milford, MA · On-site

$114K - $157K/yr

We are seeking a Senior Celonis Platform Engineer to join our Process Intelligence team and the broader Data Engineering community. In this role, you will own the Celonis platform, ensuring its ...

Tulip Interfaces

AI Platform Engineer

Somerville, MA · Hybrid

Tulip's cloud-native, no-code platform, powered by embedded AI, is driving the digital ... IT and Data leadership Working At Tulip We know even great candidates experience imposter syndrome.

SevenAI

Senior Platform Engineer

Boston, MA · On-site

$113K - $155K/yr

As a Senior Platform Engineer , you'll be at the heart of our infrastructure - designing, building ... Experience with AI/ML platforms or data-intensive systems. * Knowledge of agent frameworks, LLM ...

7AI

Senior Platform Engineer

Boston, MA · On-site

$113K - $155K/yr

Sevenai is focused on AI-driven security products, and they are seeking a Senior Platform Engineer ... Preferred : • Experience with AI/ML platforms or data-intensive systems. • Knowledge of agent ...

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Showing results 41-60

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

Data Platform Engineer information

See Boston, MA salary details

$48.4K

$141.1K

$193.1K

How much do data platform engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data platform engineer in Boston, MA is $141,096.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,500.00 and $149,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Platform Engineer, you need a solid understanding of database architectures, data modeling, ETL processes, and programming languages such as SQL, Python, or Scala, often supported by a degree in computer science or a related field. Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud), big data tools (like Hadoop, Spark), and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving skills, effective communication, and an ability to work collaboratively within cross-functional teams distinguish top candidates. These skills ensure that data systems are reliable, scalable, and aligned with organizational goals, enabling informed decision-making and innovation.

What is a data platform engineer?

A Data Platform Engineer designs, builds, and maintains scalable data infrastructure to support analytics, machine learning, and business intelligence. They work with data pipelines, databases, and cloud technologies to ensure efficient data storage, processing, and retrieval. Their role involves optimizing performance, ensuring data security, and enabling reliable data access for engineers and analysts.

What are some typical challenges a data platform engineer may encounter in their day-to-day work?

Data Platform Engineers often navigate challenges such as ensuring high data availability, optimizing system performance, and maintaining data security in evolving cloud or hybrid environments. They frequently address issues related to scaling infrastructure to handle growing data volumes, integrating legacy systems, and automating data pipelines. Collaboration with data scientists, analysts, and software engineers is essential to ensure data solutions meet business requirements. Adapting swiftly to new technologies and troubleshooting complex issues are key parts of the role, making it both dynamic and rewarding for those who enjoy problem-solving.

What are the most commonly searched types of Data Platform Engineer jobs in Boston, MA? The most popular types of Data Platform Engineer jobs in Boston, MA are:
What are popular job titles related to Data Platform Engineer jobs in Boston, MA? For Data Platform Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Data Platform Engineer jobs in Boston, MA look for? The top searched job categories for Data Platform Engineer jobs in Boston, MA are:
Data Platform Engineer jobs near you
Infographic showing various Data Platform Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $141,096 per year, or $67.8 per hour.

Technical Lead, Data Platform Infastructure

NxT Level

Boston, MA • Hybrid

Full-time

Re-posted 2 days ago

Job description

Governance Data Engineer (Data Catalog / Metadata / Controls)

Location: Boston, MA (Onsite 4 days/week)

About Our Client

Our client is building foundational AI, Data, and Platform capabilities that enable global scale and business transformation. Their platform engineering organization evolves technology into robust, reusable platform solutions that improve agility, strengthen controls, and deliver measurable business impact.

The Role

Our client is hiring a Governance Data Engineer (Lead level) to join their core AI/Data/Platform engineering team in Boston. This is a pivotal, hands-on technical leadership role focused on building enterprise-grade data management and governance capabilities—including a universal data catalog, metadata management, semantic definitions, lineage, entitlements, and SOX-aligned controls.

You’ll define how the organization structures, documents, and governs data so it is discoverable, trustworthy, auditable, and AI-ready—supporting analytics, reporting, and agentic AI use cases in a highly controlled environment.

Work model: Onsite in Boston 4 days per week.

What You’ll Do

  • Lead the design and implementation of enterprise data management capabilities, with a focus on:
    • Universal data catalog
    • Metadata management
    • Standardized data definitions across platforms and domains
  • Partner with business, technology, risk, and control stakeholders to define and operationalize semantic data models that improve consistency, usability, and interoperability for analytics, reporting, and AI-enabled workflows
  • Build and mature SOX-aligned data governance frameworks including data ownership, lineage, controls, policy adherence, and documentation standards to support regulatory, audit, and operational requirements
  • Simplify and modernize data entitlement models, enabling scalable policy-based access management that balances security, compliance, and usability across users, applications, and AI agents
  • Establish operating models, standards, and governance processes that increase data discoverability, trust, and reuse while reducing fragmentation and manual effort
  • Translate strategic data priorities into an executable roadmap, influence cross-functional delivery teams, and ensure implementations are scalable, practical, and aligned to enterprise architecture
  • Improve “AI-readiness” of the data foundation by strengthening metadata quality, access patterns, semantic structure, and governance controls required for trusted agentic AI adoption
  • Serve as a senior contributor and thought partner—shaping best practices, managing stakeholder expectations, and driving measurable progress against data transformation goals
  • Mentor and elevate engineers across multiple teams

What Our Client Is Looking For

  • Bachelor’s or master’s degree in Computer Science, Engineering, or related field
  • 8+ years of experience in data engineering, data architecture, data management, or related disciplines, including leadership on enterprise-scale initiatives in complex, highly controlled environments
  • Deep expertise in:
    • Data cataloging and metadata management
    • Data lineage and governance frameworks
    • Auditability / controls / regulatory compliance-oriented implementations
  • Strong stakeholder management and communication skills—able to align engineering, product, analytics, risk/controls, and business partners and drive execution across cross-functional teams

Why This Role

  • High-leverage, enterprise-impact work: you’ll define the governance foundation that enables trustworthy analytics, reporting, and AI adoption
  • A role with real scope: catalog + metadata + semantic definitions + entitlements + SOX-aligned governance
  • Visible leadership: influence multiple teams and set standards that scale across a complex organization

Apply