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Remote Data Platform Engineer Jobs (NOW HIRING)

Data Platform Engineer

$117K - $140K/yr

About the Role We're looking for a Data Platform Engineer to join our early-stage team and take ownership of the data backbone of our product. This is a hybrid role that combines data engineering ...

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 ...

... Engineer gesucht. Ziel ist der Aufbau, Betrieb und die Weiterentwicklung einer stabilen ... Remote bevorzugt, gelegentliche Vor-Ort-Termine nach Absprache 400 - 450 a day Aufgaben Aufbau, ...

This work is 100% remote. This role is the founding owner of a greenfield data and AI platform ... Set the engineering standards, patterns, and documentation a growing data team will build on.

Staff Data Platform Engineer Tilt runs on data-driven decisions, and our Data Platform is what ... Tilt is a remote-first company. We drive connectivity through regular company offsites. Travel for ...

$79K - $104K/yr

Our partner is looking for a Lead Data Platform Engineer (German Speaker) based in Netherlands ... Fully remote position with flexible working arrangements. * High levels of autonomy and ownership ...

Lead Data Platform Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

We're hiring a Lead Data Platform Engineer to design, build, and own the systems that power our data ecosystem. This role is ideal for a highly motivated self-starter who is comfortable with ...

Lead Data Platform Engineer

Charleston, WV · Remote

$117K - $140K/yr

We're hiring a Lead Data Platform Engineer to design, build, and own the systems that power our data ecosystem. This role is ideal for a highly motivated self-starter who is comfortable with ...

Senior Data Platform Engineer

$108K - $147K/yr

About the Role We're looking for a Senior Engineer to play a key role in Medium's Data Platform ... Working with a fully distributed team: We're fully remote and have teammates across the U.S ...

... Staff Data Engineer to help shape the future of Honor's data platform. This role is focused on ... We use national average to determine pay as we are a remote first company. Individual pay is based ...

This work is 100% remote. This role builds and extends a greenfield data and AI platform supporting federal background investigation work. Working alongside the platform's lead engineer, you'll ...

Senior Data Platform Engineer

$108K - $147K/yr

They are seeking an experienced Senior Data Platform Engineer to lead the design and development of a scalable data platform that supports analytics and ML Ops while collaborating with various teams ...

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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 Jul 9, 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 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.
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:

$117K - $140K/yr

Full-time

Re-posted 18 days ago


Job description

About Vector Health
Vector Health helps rural hospitals unlock financial aid for their patients by identifying medical mutual aid opportunities through non-profits. Our platform ingests sensitive patient data from hospitals, applies patients for funding, and manages the flow of reimbursements. We're building a scalable, secure, and high-impact healthcare infrastructure product that directly supports patient outcomes.
About the Role
We're looking for a Data Platform Engineer to join our early-stage team and take ownership of the data backbone of our product. This is a hybrid role that combines data engineering, analytics, and software development.
Your focus will be on building pipelines that ingest and structure hospital data, ensuring quality and compliance, and enabling insights for hospitals, patients, and internal teams. But unlike a pure data role, you'll also work directly in our full stack environment (Laravel, Vue, Python, AWS) to make sure data flows seamlessly into APIs, product features, and user experiences.
This is a great fit if you enjoy working across boundaries - architecting secure data systems, writing analytics queries, and contributing directly to the product.
What You'll Do
  • Own the end-to-end data platform: ingestion pipelines, transformations, models, and analytics
  • Build scalable, HIPAA-compliant ETL/ELT pipelines using Python, SQL, and AWS services
  • Design and maintain data models and schemas that power both product features and reporting
  • Write and optimize queries, metrics, and dashboards to support hospitals and internal teams
  • Develop data validation and monitoring systems to ensure reliability and trustworthiness
  • Collaborate with full stack engineers to integrate pipelines and analytics into our Laravel/Vue product
  • Contribute directly to the product codebase where data systems intersect with APIs and UI features
  • Translate operational needs into data-driven features that scale with our customers
  • Participate in architectural discussions on performance, scalability, and security

What We're Looking For
  • 2-5 years of professional experience in data engineering, analytics, or software engineering
  • Strong Python skills for data processing, pipelines, and automation
  • Deep knowledge of SQL and database query optimization
  • Experience designing and maintaining data pipelines, schemas, and ETL workflows
  • Familiarity with backend frameworks (Laravel/PHP, Node, or similar) and willingness to work across the stack
  • Understanding of cloud environments (AWS preferred) and version control (Git)
  • Comfortable working in a fast-moving, collaborative, early-stage environment

Bonus if you have:
  • Experience with healthcare data (FHIR, HL7)
  • Familiarity with data lakes, warehouses, or BI tools
  • Applied statistics or ML experience to extract insights from patient/hospital data
  • Exposure to DevOps practices for data (CI/CD, monitoring, infrastructure as code)

Why Join Us?
  • Own the data platform of a mission-driven healthcare startup from the ground up
  • Work on a product that directly improves access to healthcare for underserved communities
  • Collaborate with a small, ambitious, and passionate team where your contributions matter
  • Straddle data engineering, analytics, and full stack development in one role
  • Grow quickly while solving challenging technical and real-world problems

If you're excited about building the data backbone of a healthcare platform while working across the full stack, we'd love to hear from you.