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Remote Data Platform Engineer Jobs in Basking Ridge, NJ

Anysphere, Inc

Data Platform Engineer

New York, NY · On-site +1

$125K - $150K/yr

Remote Apply Our mission is to automate coding. The first step in our journey is to build the best ... As one of Cursor's first Data Platform Engineers, you'll own the systems that make company-wide ...

Tradeweb Markets

Data Platform Engineer

New York, NY · On-site +1

$120K - $170K/yr

Qualifications * 2-5 years of experience in a Data Platform Engineering role * Strong software engineering experience and working with Python * Strong experience working with SQL and databases ...

Farther

AI-Native Data Platform Engineer

New York, NY · On-site +1

$125K - $150K/yr

The Role As an AI-Native Data Platform Engineer at Farther, you will design and own the canonical data foundations powering our financial AI systems. This role sits at the core of our platform ...

Match Group

Senior Data Platform Engineer

New York, NY · On-site +1

$116K - $157K/yr

About the Role As a Senior Engineer for our Data Platform team, you will be responsible for maintaining and continuously improving our data platform. We are dedicated to designing, implementing and ...

Match Group

Senior Data Platform Engineer

New York, NY · On-site +1

$186K - $223K/yr

About the Role As a Senior Engineer for our Data Platform team, you will be responsible for maintaining and continuously improving our data platform. We are dedicated to designing, implementing and ...

HHAeXchange

Platform Engineer

New York, NY · Remote

HHAeXchange is seeking a Platform Engineer to join our Data & AI Engineering team. Reporting to the ... Position is remote for candidates located within the NYC, DC-Baltimore, and Minneapolis metro areas.

Wells Fargo

Redis Platform Engineer

Iselin, NJ · On-site +1

Basic understanding of Redis Enterprise or in-memory data platforms, including clustering, high ... Understanding of CI/CD and DevOps practices * Awareness of security fundamentals, including ...

Theradex Oncology

Platform Engineer

Princeton, NJ · On-site +1

$140K - $165K/yr

Platform Engineer - AWS Certified Professional - Princeton, NJ (Hybrid) - Will consider regionally remote candidates We're looking for a highly motivated Platform Engineer to help us build and ...

Theradex Oncology

Platform Engineer

Princeton, NJ · On-site +1

$140K - $165K/yr

What You'll Do Platform Engineer - AWS Certified Professional - Princeton, NJ (Hybrid) - Will consider regionally remote candidates We're looking for a highly motivated Platform Engineer to help us ...

GetViktor

Agent Platform Engineer (Remote)

New York, NY · On-site +1

Own the data layer: state and persistence across 25,000+ multi-tenant workspaces, durable and fast ... You've worked on infrastructure, platform, or developer-tools teams where reliability was the ...

Ramp

Software Engineer, Data Platform

New York, NY · Remote

$168K - $324K/yr

This role is particularly focused on building platforms that support the data science development lifecycle. You'll partner with applied scientists, AI engineers, Risk engineers, and other ML ...

Canoe Intelligence

Data Engineer

Manhattan, NY · On-site +1

$110K - $140K/yr

Data Engineer LOCATION: New York City (hybrid) or Fully Remote in the United States SALARY : $110 ... Contribute to the design and development of our Data platform. * Work closely with AI / ML ...

Alpaca

Senior Data Engineer

New York, NY · On-site +1

$116K - $157K/yr

We are seeking a Senior Data Platform Engineer to design and develop the data management layer for ... Our team is 100% distributed and remote. Responsibilities: * Design and oversee key forward- and ...

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All JobsRemote Data Platform Engineer JobsRemote Data Platform Engineer Jobs in Basking Ridge, NJ

Remote Data Platform Engineer information

See Basking Ridge, NJ salary details

$45.9K

$133.7K

$182.9K

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

As of Jun 26, 2026, the average yearly pay for remote data platform engineer in Basking Ridge, NJ is $133,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,700.00 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 popular job titles related to Remote Data Platform Engineer jobs in Basking Ridge, NJ? For Remote Data Platform Engineer jobs in Basking Ridge, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Data Platform Engineer jobs in Basking Ridge, NJ look for? The top searched job categories for Remote Data Platform Engineer jobs in Basking Ridge, NJ are:
What cities near Basking Ridge, NJ are hiring for Remote Data Platform Engineer jobs? Cities near Basking Ridge, NJ with the most Remote Data Platform Engineer job openings:
Remote Data Platform Engineer jobs near you

Data Platform Engineer

Anysphere, Inc

New York, NY • On-site, Remote

$125K - $150K/yr

Full-time

Posted 29 days ago

Job description

Engineering • Full-time • San Francisco; New York; Remote
Apply
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.
About the role
Take data foundations from 0→1 on the bleeding edge of AI data.
As one of Cursor's first Data Platform Engineers, you'll own the systems that make company-wide data work reliable, secure, and easy to build on. You'll work hands-on across our data lakehouse architecture to support a fast-growing data team and uniquely data-savvy business stakeholders. You'll partner with Data, Product, GTM, and AI research teams to turn messy, repeated data needs into durable infrastructure.
Cursor is already operating at enormous scale, but our data platform is still early. This role is for someone who wants to own the low-level foundations: optimizing TB-scale ingestion, improving resource usage and alerting, codifying access control with infra-as-code, and making pragmatic build-vs-buy decisions across the modern data stack.
Example projects
  • Own and optimize the raw data layer: Improve the performance, reliability, and cost profile of TB-scale first-party data ingestion so downstream analysis, experimentation, and ETL are faster and more trustworthy.
  • Scale orchestration for a growing data team: Make Dagster and related orchestration infrastructure reliable, observable, and ergonomic for a large base of data scientists, analytics engineers, and adjacent technical users.
  • Expand and secure agentic data capabilities: Enable new entrypoints and capabilities for agents to do data work, all while keeping security and privacy requirements high.

What you'll do
  • Own, operate, and improve Cursor's Databricks and lakehouse infrastructure as the data team size and data volume scales.
  • Build and optimize ingestion systems for first-party product data and 3rd-party business systems.
  • Ensure observability, alerting, and operational standards across all data infrastructure layers.
  • Evaluate and roll out data tooling where it solves real stakeholder needs, including BI platforms, catalogs, ingestion tools, and reverse ETL systems.
  • Partner with technical and non-technical partners to understand recurring data problems and turn them into scalable platform solutions.

You may be a fit if
  • You have 4+ years of full-time data platform engineering experience.
  • You have built up modern data stacks at a low level, not just written jobs on top of it.
  • You have scaled performant ingestion of billions of data per day.
  • You're the go-to person for data pipeline orchestration infrastructure used by large user bases; Dagster experience is a strong plus.
  • You want to build foundational systems at a company where data-savvy users will immediately push them to their limits.

Apply