Data Engineer

Child Mind Institute; City of Rochester (NY); Hybrid; USD 119,000 - 150,000; Full time

Benefits offered by this job

Medical insurance

401(k)

Paid parental leave

Dependent care

Discounted tickets

Entertainment perks programs

Job summary

Child Mind Institute in New York, NY, seeks a seasoned data professional to build scalable multimodal data pipelines and analytics for clinical research.

You will transform, preprocess, and manage data, ensure quality and privacy, create interactive dashboards, document methods, and contribute to broader scientific communication. This role blends data engineering with research impact.

Qualifications

• Master's degree in a relevant field.
• 5+ years in data analysis and data science fundamentals.
• 5+ years in at least one programming language (Python/R/ Matlab) and toolboxes.

Responsibilities

• Create and maintain scalable data pipelines for multimodal data.
• Create pipelines for data transformation, preprocessing, and management.
• Ensure data quality, security, and privacy compliance.
• Create interactive visualizations and dashboards to communicate insights.
• Write documentation for scientific, clinical, or public dissemination.
• Perform additional job-related duties as assigned.

Skills

Data analysis

Data pipelines

Visualization

ETL processes

Education

Master's degree

Tools

Python

R

SQL

Docker

GitHub

AWS

Azure

Terraform

Pytorch

Scipy

Sklearn

Job description

About Child Mind Institute

We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments.

Full Time Professional New York, NY, US 1 Attachments

Salary Range: $119,000.00 To $150,000.00 Annually

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

You Will:

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.

You Have:

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 Extract, Transform, Load (ETL) processes and database management languages (SQL,NoSQL), and familiarity with associated cloud computing services and frameworks (AWS, Azure, Terraform).

#LI-hybrid

Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website .

Pay Range

The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting.

EEO Disclaimer

Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind.

We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws.

In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL).

Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at [e-mail]

This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.