Data Engineer: AI Evaluation Pipelines & Cloud Infra

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 is seeking an experienced Data Engineer to join the Center for Data Analytics, Innovation, and Rigor in New York City. You will develop data pipelines, data infrastructure, and AI evaluation frameworks using Python, SQL, Docker, Kubernetes, AWS and Azure.

You will work in a hybrid setup, reporting to the Rubric Engineering and Measurement Specialist, with an in-office requirement of at least four days per week. This is a full-time exempt role based in NYC.

Qualifications

• Master's degree in Neuroscience, Psychology, Engineering, Computer Science or equivalent combination of education and experience is required.
• 5+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning), preferably in a clinical or research setting.
• 5+ years of experience in at least one scientific programming language (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required.
• 5+ years of experience working in a Linux environment, using version control systems (e.g., GitHub), and software virtualization platforms (e.g., Docker).
• 5+ years of practical experience in ETL processes and database management languages (SQL, NoSQL), and familiarity with associated cloud computing services and frameworks (AWS, Azure, Terraform).

Responsibilities

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

Skills

Data analysis

Data science fundamentals

Machine learning

Clinical/research data

Education

Master's degree in Neuroscience, Psychology, Engineering, Computer Science or equivalent

Tools

Python

R

Matlab

Tidyverse

Scipy

Sklearn

Polars

Pytorch

Linux

GitHub

Docker

Terraform

AWS

Azure

Job description

Stone Alliance Group is seeking an experienced Data Engineer to join the Center for Data Analytics, Innovation, and Rigor in New York City. You will develop data pipelines, data infrastructure, and AI evaluation frameworks using Python, SQL, Docker, Kubernetes, AWS and Azure.

You will work in a hybrid setup, reporting to the Rubric Engineering and Measurement Specialist, with an in-office requirement of at least four days per week. This is a full-time exempt role based in NYC.