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Neuro Data Engineer Jobs (NOW HIRING)

Piramidal, Inc.

Software Engineer - Backend

New York, NY · On-site

Build and maintain reliable services that operate on real time streams of neurological data * Work ... Work with machine learning engineers to develop and maintain model pipelines Your background looks ...

Terumo Neuro

Engineer II, NPI & Transfers

Aliso Viejo, CA · On-site

$75K - $99K/yr

Analyze data and improve processes to assure robust/repeatable manufacturing processes * Confer ... Terumo Neuro will consider for employment qualified job applicants with arrest or conviction ...

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Neuro Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do neuro data engineer jobs pay per year?

As of Jun 6, 2026, the average yearly pay for neuro data 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 are the key skills and qualifications needed to thrive as a Neuro Data Engineer, and why are they important?

To thrive as a Neuro Data Engineer, you need strong expertise in neuroscience, data analysis, and programming skills (often in Python or MATLAB), typically backed by a degree in computer science, neuroscience, or a related field. Familiarity with neuroimaging tools (like fMRI or EEG analysis software), machine learning frameworks, and big data platforms is highly valuable. Excellent problem-solving, collaboration, and communication skills help in translating complex neural data into actionable insights for research or clinical applications. These competencies are crucial for ensuring accurate data handling, effective interdisciplinary teamwork, and advancement in neurotechnology projects.

What are Neuro Data Engineers?

Neuro Data Engineers are specialized professionals who design, develop, and maintain data systems that support neuroscience research and applications. They work at the intersection of data engineering and neuroscience, handling large and complex datasets such as brain imaging, neural recordings, and genetic data. Their responsibilities include building data pipelines, ensuring data quality, and collaborating with neuroscientists to enable efficient analysis and interpretation of neural data. By leveraging advanced technologies and programming skills, Neuro Data Engineers help accelerate discoveries in brain research and related fields.

How do Neuro Data Engineers typically collaborate with neuroscientists and clinical teams in research environments?

Neuro Data Engineers often work closely with neuroscientists and clinical professionals to design data pipelines, manage large-scale neural datasets, and ensure data quality for research studies. Collaboration includes translating scientific requirements into technical solutions, supporting data preprocessing, and developing analytical tools tailored to neuroscience workflows. Regular meetings, code reviews, and interdisciplinary workshops are common, fostering a team environment where technical and scientific expertise are integrated to drive research forward.

What is the difference between Neuro Data Engineer vs Data Scientist?

AspectNeuro Data EngineerData Scientist
Required CredentialsBachelor's or Master's in Neuroscience, Computer Science, or related fields; experience with data engineering toolsBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming and analytics
Work EnvironmentNeuroscience labs, research institutions, healthcare settingsTech companies, research firms, finance, healthcare
Employer & Industry UsageNeuroscience research, neurotechnology companies, healthcare providersTech firms, consulting, research, analytics

Neuro Data Engineers focus on building and maintaining data pipelines for neuroscience data, while Data Scientists analyze data to extract insights. Both roles require strong technical skills, but Neuro Data Engineers emphasize data infrastructure in neuroscience contexts, whereas Data Scientists focus on data analysis and modeling across industries.

Infographic showing various Neuro Data Engineer job openings in the United States as of May 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Software Engineer - Backend

Piramidal, Inc.

New York, NY • On-site

Full-time

Posted 20 days ago

Job description

Piramidal is looking for a backend engineer to help build and scale the infrastructure behind our real time neural monitoring platform. You'll work on hard problems: high throughput streaming, real time analytics, and clinical grade reliability.

In this role you will
  • Build and maintain reliable services that operate on real time streams of neurological data
  • Work on data modeling, ingestion pipelines, and data lifecycle management
  • Develop and extend backend APIs that power clinical workflows
  • Work with machine learning engineers to develop and maintain model pipelines
Your background looks something like
  • 5+ years of backend engineering
  • Strong experience with stream processing or event-driven architectures
  • Proficiency with Python
  • Proficiency with containerization and orchestration
  • Experience with relational databases
  • Ability to move fast and independently
Nice to have
  • Experience with data engineering and warehousing at scale
  • Familiarity with Apache Arrow, Parquet, or columnar data formats
  • Experience with real time systems where sub second latency matters
About Us

We are building a first-of-its-kind foundation model for electrophysiological brain data. Our goal is to create scaled neural decoders that enable humans to understand and control neural syntax. Our flagship product brings a state of the art seizure detection model into real time clinical workflows, helping clinicians detect and respond to seizures faster.