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Remote Data Platform Engineer Jobs (NOW HIRING)

Rockstar

Senior Platform Engineer - Data Platform

$125K - $165K/yr

Rockstar is recruiting for an innovative data platform company that builds secure, scalable systems for identity, access control, and data management. Their team of experienced backend engineers ...

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$117K - $140K/yr

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a ... platform strategy, and governance standards. This role shapes how data is collected, modeled ...

Gemini

Senior Data Platform Engineer

New York, NY · On-site +1

$116K - $157K/yr

Senior Data Platform Engineer As a Senior Data Platform Engineer, you'll be an SRE for our data ... Employees who do not live near one of our hubs are part of our remote workforce. All employees ...

Gemini

Senior Data Platform Engineer

New York, NY · On-site +1

$116K - $157K/yr

Senior Data Platform Engineer As a Senior Data Platform Engineer, you'll be an SRE for our data ... Employees who do not live near one of our hubs are part of our remote workforce. All employees ...

Craft.co

Sr. Data Platform Engineer (US)

$170K/yr

... data platform - this helps our customers make better, more informed decisions for their business ... We support remote and hybrid work, with team members across North America and Europe. We are ...

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 ...

NewRocket

AI Platform Engineer-Anthropic-US East

AI Platform Engineer-Anthropic AI Foundry | NewRocket Location: [Location / Hybrid / Remote] Travel ... Evaluate and recommend cloud, data, AI, observability, orchestration, and security technologies ...

NewRocket

AI Platform Engineer-Anthropic-US West

AI Platform Engineer-Anthropic AI Foundry | NewRocket Location: [Location / Hybrid / Remote] Travel ... Evaluate and recommend cloud, data, AI, observability, orchestration, and security technologies ...

NewRocket

AI Platform Engineer-Anthropic-US East

OR · On-site +1

AI Platform Engineer-Anthropic AI Foundry | NewRocket Location: [Location / Hybrid / Remote] Travel ... Evaluate and recommend cloud, data, AI, observability, orchestration, and security technologies ...

Outmarket Inc

Platform Engineer

Multi-tenant SaaS or data-platform infrastructure experience. * Temporal, Kong/API gateway, or ClickHouse operations experience.

NewRocket

AI Platform Engineer-Anthropic-US West

OR · On-site +1

AI Platform Engineer-Anthropic AI Foundry | NewRocket Location: [Location / Hybrid / Remote] Travel ... Evaluate and recommend cloud, data, AI, observability, orchestration, and security technologies ...

Changeis

Databricks Platform Engineer

Databricks Platform Engineer Location: Remote Position Overview We are seeking an experienced ... The ideal candidate will have at least six years of experience in cloud data platforms, data ...

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · On-site +1

$113K - $136K/yr

Strong programming skills in Python & SQL and at least one major data platform ( Snowflake ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

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Remote Data Platform Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Sep 8, 2026, the average yearly pay for remote data platform engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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 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 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.

More about Remote Data Platform Engineer jobs

What cities are hiring for Remote Data Platform Engineer jobs?

Cities with the most Remote Data Platform Engineer job openings:

What are the most commonly searched types of Data Platform Engineer jobs?

The most popular types of Data Platform Engineer jobs are:

What states have the most Remote Data Platform Engineer jobs?

States with the most job openings for Remote Data Platform Engineer jobs include:

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The top searched job categories for Remote Data Platform Engineer jobs are:

Remote Data Platform Engineer jobs near you
Infographic showing various Remote Data Platform Engineer job openings in the United States as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Senior Platform Engineer - Data Platform

Rockstar

Remote

$125K - $165K/yr

Full-time

Re-posted 19 days ago

Job description

Rockstar is recruiting for an innovative data platform company that builds secure, scalable systems for identity, access control, and data management. Their team of experienced backend engineers works on cutting-edge graph database technology, focusing on reliability, security, and performance.
Position Overview
They are seeking a Senior Backend Engineer to build and scale the core services that power user controls, identity, security, secure content sharing, resource management, and data access across their platform. This role combines backend service development with contributions to Dgraph internals, making it an excellent opportunity for engineers who enjoy solving complex distributed systems and security challenges. The ideal candidate is comfortable working across the stack but has deep expertise in backend engineering, with strong proficiency in Go and Python.
Key Responsibilities
  • Design, build, and maintain backend services for user controls, identity, and security across the platform.
  • Develop and strengthen secure content sharing capabilities, ensuring the right users have access to the right data under the appropriate conditions.
  • Contribute to Data Studio and related tools that expose platform data to internal and external users.
  • Work on Dgraph internals when needed while building services and applications on top of Dgraph.
  • Partner with platform, infrastructure, and integrations teams to maintain consistent identity and security primitives across the ecosystem.
  • Drive technical decisions around data access patterns, permissions models, and secure sharing architecture.
  • Write high-quality, well-tested code in Go and Python with a focus on reliability, security, and performance.
  • Participate in architecture discussions, design reviews, and technical planning for the data platform.

Qualifications
  • 8+ years of professional software engineering experience, with significant experience in backend or platform engineering.
  • Strong proficiency in Go and Python.
  • Experience building identity, access control, permissions, authentication, authorization, or other security-focused systems.
  • Comfortable working across the full stack, with a strong preference and expertise in backend services.
  • Experience with graph databases (Dgraph or similar) is highly preferred.
  • Interest in contributing to database internals is a plus.
  • Strong understanding of distributed systems, reliability, security, and performance optimization.
  • Excellent communication and collaboration skills with cross-functional engineering teams.
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
  • Must be a U.S. citizen or permanent resident residing within the United States.

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