Data Engineer, AI Pipelines & Real-Time Analytics

Stone Alliance Group Career Page; New York (NY); Hybrid; USD 119,000 - 150,000; Full time

Benefits offered by this job

Medical insurance

401(k)

Paid parental leave

Dependent care

Flexible work schedules

Discounted tickets and entertainment

Job summary

Stone Alliance Group seeks an experienced Data Engineer to join its NYC Center for Data Analytics, Innovation, and Rigor. You will build scalable data pipelines for multimodal, clinical, and NLP data, implement secure storage, and support real-time AI evaluation and monitoring.

You will work in a hybrid, in-office role with a four-day-per-week office requirement, collaborating with a team focused on data infrastructure for cutting-edge research and mental health applications.

Qualifications

• Master's degree required in Neuroscience, Psychology, Engineering, or Computer Science.

Responsibilities

• Create and maintain scalable data pipelines for efficient storage and retrieval of multimodal data, with emphasis on clinical, natural language, and multi-turn response data.
• Create pipelines for data transformation, preprocessing, and management with data quality and privacy compliance.
• Perform quality assurance of pipelines to maintain data integrity.
• Create interactive visualizations and dashboards to communicate data insights and pipeline performance metrics.
• Write documentation for scientific, clinical, or public dissemination of knowledge.
• Perform additional job-related duties as assigned.

Skills

Data analysis

Data science fundamentals

Python

R

Matlab

Linux

GitHub

Docker

SQL

NoSQL

AWS

Azure

Terraform

Pytorch

Scipy

Sklearn

Polars

Tidyverse

Education

Master's degree in Neuroscience/ Psychology/ Engineering/ Computer Science

Tools

Docker

GitHub

Terraform

AWS

Azure

Tidyverse

Scipy

Sklearn

Polars

Pytorch

Kubernetes

Job description

Stone Alliance Group seeks an experienced Data Engineer to join its NYC Center for Data Analytics, Innovation, and Rigor. You will build scalable data pipelines for multimodal, clinical, and NLP data, implement secure storage, and support real-time AI evaluation and monitoring.

You will work in a hybrid, in-office role with a four-day-per-week office requirement, collaborating with a team focused on data infrastructure for cutting-edge research and mental health applications.