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Remote Data Platform Engineer Jobs in Boston, MA

... IL, Remote-MI, Remote-NJ, St. Louis, Missouri Details Kemper is one of the nation's leading ... Cloud & Platform Engineering * Enterprise Data Engineering * Artificial Intelligence & Intelligent ...

... engineers you work with. The platform model is self-service and distributed. Data access, API ... access, and intelligence surfaces are democratized - the PM's job is to define and prioritize the ...

Senior Data Engineer

Boston, MA ยท Remote

$115K - $156K/yr

Strong experience with Python, SQL, and cloud-based data platforms * Experience with AWS data ... This role is primarily remote, US-based, and operates largely in EST hours, with occasional travel ...

Senior Data Engineer

Boston, MA ยท Remote

$140K - $180K/yr

Strong experience with Python, SQL, and cloud-based data platforms * Experience with AWS data ... This role is primarily remote, US-based, and operates largely in EST hours, with occasional travel ...

Data Architect, Next Platform

Boston, MA ยท On-site +1

$150K - $200K/yr

Educate engineering and clinical teams on data modeling standards, governance, and best practices ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Data Engineer (Remote)

Canton, MA ยท On-site +1

$121K - $145K/yr

The Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and analytics-ready datasets. You will be collaborating across multiple teams and ...

Databento is the market data platform for modern finance. The company provides real-time and ... Good communication skills and work ethic for a remote workplace. * An interest in low-level ...

Showing results 41-60

Remote Data Platform Engineer information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

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

As of Aug 10, 2026, the average yearly pay for remote data platform engineer in Boston, MA is $140,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $149,400.00 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?

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 Boston, MA? The most popular types of Data Platform Engineer jobs in Boston, MA are:
What are popular job titles related to Remote Data Platform Engineer jobs in Boston, MA? For Remote Data Platform Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Data Platform Engineer jobs in Boston, MA look for? The top searched job categories for Remote Data Platform Engineer jobs in Boston, MA are:
Infographic showing various Remote Data Platform Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $140,924 per year, or $67.8 per hour.

Staff Software Engineer, Search Platform (Remote)

ezCater, Inc

Boston, MA โ€ข Remote

$184K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted yesterday


Job description

ezCater is investing in a next-generation, composable platform that powers future product experiences across the organization. This platform is API-first, headless, and designed to model durable business capabilities spanning restaurants, customers, and internal operations.

As a Staff Software Engineer on the Search team, you will be the senior technical owner of the Search Platform: the Search Engine, the Indexing Pipeline that feeds it, and Availability, which determines which restaurants can fulfill an order. You will set technical direction, lead the design and implementation of the indexing pipeline and query-serving stack, and shape ranking and relevance strategy. This is a hands-on technical leadership role. You will build parts of the platform, guide the team's execution, and partner with Platform Engineering and downstream consumers at the integration boundaries.

Search is the front door of the marketplace. Every customer interaction (browse, search, filter) passes through the systems this role owns, and every order depends on Availability correctly identifying which restaurants can deliver. The quality of the search architecture, the freshness of the index, and the accuracy of delivery eligibility directly drive order volume, customer satisfaction, and the platform's long-term competitive position.This is a rare opportunity to lead a search platform build at a company with significant scale and a rich problem domain.

What You'll Do

  • Own the Search Engine architecture: technology direction (Vespa-based), document schema, query serving, and operational model
  • Own and build the Indexing Pipeline: Temporal-orchestrated workflows that ingest, validate, transform, and write data into the search engine and availability store
  • Own Availability: zone-based delivery filtering, schedule matching, and the data model that powers it- extracted from the legacy monolith and re-implemented.
  • Own the Two-Stage Filtering Architecture: zone-based availability filtering followed by Vespa filtering and ranking
  • Drive search relevance and ranking strategy across ordering contexts and customer types, in collaboration with product and data
  • Define clear, well-versioned APIs and contracts for how search and availability are consumed across all channels
  • Manage migration sequencing and risk across the phased rollout (Typeahead, Availability, Core Search)
  • Build a measurement and experimentation foundation supporting full-funnel evaluation, from CTR through order fulfillment
  • Lead through collaborative design: white-boarding, technical discussions, and aligning teams around clear architectural decisions
  • Partner with Platform Engineering on shared service patterns, Temporal, observability, secrets, and CI/CD
  • Partner with product, data, and downstream consumers on relevance, ranking signals, and API contracts
  • Act as a technical multiplier through design reviews, code reviews, architectural guidance, and mentorship

What You Have

  • 8+ years of professional software engineering experience
  • Deep experience designing, building, and tuning search engines (Elasticsearch, Solr, OpenSearch, Vespa, or equivalent); experience leading a major search re-architecture or building from scratch is strongly preferred; Vespa experience is a significant plus
  • Strong proficiency in Go, or a willingness to adopt it as a primary language
  • Experience with real-time data pipelines (Kafka, event streaming) for search indexing
  • Strong instincts for relevance and ranking, with the ability to translate product goals into ranking signals and evaluate them with data
  • Excellent written and verbal communication around collaborative system design and technical decision-making
  • A pragmatic, collaborative mindset with strong ownership and systems thinking
  • Experience with workflow orchestration (Temporal, Airflow, or equivalent) is a plus
  • Familiarity with geospatial systems and spatial filtering is a plus

The national total targetย cash compensation range for this position, including base salary and bonus target, is $184,000-$232,000 annually.*

*Please note: Final offer amounts are determined by multiple factors, including prior experience, expertise and region & may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K or medical, dental or vision insurance).ย