Jobs · Information Technology · New York

Data Engineer

Child Mind Institute · New York, NY · 2 wk ago
HybridInformation TechnologyFull-time

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.

Requirements

  • 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).
  • 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).

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).
  • 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).

Skills

  • 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).
  • 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).

Benefits

  • Medical insurance
  • 401(k)
  • Paid parental leave
  • Dependent care
  • Discounted tickets and entertainment perks programs

Pay

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.

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