2

Remote Data Platform Engineer Jobs in Massachusetts

Senior Platform Engineer

Cambridge, MA · Remote

$120K - $200K/yr

Fully remote (HQ Cambridge, MA) Hours: 9-5 EST, with 2-day on-site visits every 6 weeks You'll be ... Data: Cloud SQL, ClickHouse, Bigtable, GCS, Dataflow * Networking: Cloudflare Workers, Durable ...

Our team strives to analyze laboratory method characterization data by using modern data platforms ... This position is currently classified as "hybrid" following Takeda's Hybrid and Remote Work policy.

Partner with platform lead to design, develop, implement and deploy new software components to ... MFS is a hybrid work environment (remote/onsite) unless otherwise stated in the job posting. If any ...

Sr Cloud Platform Engineer

Ipswich, MA · On-site +1

$66.25 - $86.25/hr

Your Opportunity As a Sr Cloud Platform Engineer, you will work on an engineering focused agile ... This remote friendly role provides tools, training, resources, and experienced engineering mentors ...

Platform Operations Expert

Boston, MA · On-site +1

$131K - $160K/yr

Define the security and data residency protocols for AI agents operating within the OutSystems ... Lead the transition from manual platform maintenance to Autonomous Platform Engineering, utilizing ...

Sr Cloud Platform Engineer

Ipswich, MA · On-site +1

$124K - $177K/yr

As a Sr Cloud Platform Engineer, you will work on an engineering focused agile development team ... This remote friendly role provides tools, training, resources, and experienced engineering mentors ...

AI Engineer Location: Remote (US only) Must be authorized to work in the US and obtain a Public ... data * Familiarity with at least one cloud platform: AWS, Azure, or GCP * Strong written ...

Forward Deployed Engineer

Boston, MA · On-site +1

$150K - $170K/yr

The Datastore sits at the heart of Beacon's platform, defining our foundational data model and ... Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ...

next page

Showing results 1-20

Remote Data Platform Engineer information

See Massachusetts salary details

$48.6K

$141.7K

$193.9K

How much do remote data platform engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for remote data platform engineer in Massachusetts is $141,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $150,200.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Platform Engineer vs Data Engineer?

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

What are the key skills and qualifications needed to thrive as a Remote Data Platform Engineer, and why are they important?

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a Remote Data Platform Engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

What is a Remote Data Platform Engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.
What are the most commonly searched types of Data Platform Engineer jobs in Massachusetts? The most popular types of Data Platform Engineer jobs in Massachusetts are:
What are popular job titles related to Remote Data Platform Engineer jobs in Massachusetts? For Remote Data Platform Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Remote Data Platform Engineer jobs in Massachusetts look for? The top searched job categories for Remote Data Platform Engineer jobs in Massachusetts are:
Senior Platform Engineer

Senior Platform Engineer

ICONSTAFF

Cambridge, MA • Remote

$120K - $200K/yr

Full-time

Re-posted 8 days ago


Job description

Senior Platform/Infrastructure Engineer

Location: Fully remote (HQ Cambridge, MA)

Hours: 9–5 EST, with 2-day on-site visits every 6 weeks


You’ll be responsible for designing, scaling, and maintaining the infrastructure and internal developer platforms that power a real-time learning AI at a seed-stage startup. The role blends infrastructure ownership with platform engineering to enable AI/product teams to ship quickly and reliably.


Key Responsibilities - Infrastructure

  • Maintain production health: performance, reliability, cost efficiency, and security.
  • Manage GCP Kubernetes clusters (GKE), networking, storage, and compute resources.
  • Handle scaling, resource allocation, and high availability for growing customer demand.
  • Refine observability: logs, traces, metrics, dashboards, and alerts.
  • Perform security hardening and cost optimization.


Kep Responsibilities - Platform Engineering

  • Build internal tooling and abstractions for developer productivity.
  • Design CI/CD pipelines using GitHub Workflows and ArgoCD.
  • Provide self-service environments, internal portals, and deployment systems.


Collaboration & Communication

  • Work closely with AI and full-stack teams to optimize system architecture.
  • Explain technical concepts and trade-offs clearly to engineers and non-engineers.
  • Troubleshoot issues across multiple systems (Python, JavaScript, SQL).


Requirements

  • 5+ years in production cloud environments at scale.
  • Strong familiarity with GCP (primary) and some AWS experience.
  • Experience with Kubernetes (GKE), node pools, and memory-intensive jobs.
  • Working knowledge of CI/CD systems (GitHub Workflows + ArgoCD).
  • Exposure to observability tools (Datadog), databases (Cloud SQL, ClickHouse, Bigtable), and cloud services.


Skills & Qualities

  • Strong analytical and problem-solving ability.
  • Clear, collaborative communication.
  • Curiosity and ownership mentality.
  • Fluent in reading/debugging code across Python, JavaScript, SQL.


Technical Stack

  • Cloud: GCP (primary), AWS (secondary)
  • Kubernetes: GKE, multiple node pools
  • CI/CD: GitHub Workflows + ArgoCD
  • Data: Cloud SQL, ClickHouse, Bigtable, GCS, Dataflow
  • Networking: Cloudflare Workers, Durable Objects, WebSocket communication
  • Monitoring: Datadog
  • Environments: Production, Staging, Integration, Development