About The Position

Specialisterne’s Neurodiversity Hiring Initiative with Goldman Sachs is available to applicants who: 1. Self-identify with the following neurodivergent labels or identities: Autism (including Asperger’s and PDD-NOS) Attention Deficit/Hyperactivity Disorder (ADHD) or Attention Deficit Disorder (ADD) Learning Disability (dyslexia, dyscalculia, dysgraphia) Intellectual Disability Obsessive Compulsive Disorder (OCD) Tourette Syndrome 2. Have experienced barriers to finding and/or maintaining employment related to their neurodivergence 3. Are open to receiving workplace support from Specialisterne. Candidates must be willing to submit to and successfully pass a comprehensive pre-employment background check, including but not limited to: Employment Verification, Education Verification, Criminal History & Fingerprinting, and Credit & Financial Checks. This role is a 9-week internship with the opportunity to transition to full-time. Both internship and full-time employment are fully in-office. The internship is located at 2001 Ross Ave, Dallas, TX 75201, and candidates should be currently located within commutable distance to the role location.

Requirements

  • Self-identify with neurodivergent labels or identities: Autism (including Asperger’s and PDD-NOS), Attention Deficit/Hyperactivity Disorder (ADHD) or Attention Deficit Disorder (ADD), Learning Disability (dyslexia, dyscalculia, dysgraphia), Intellectual Disability, Obsessive Compulsive Disorder (OCD), or Tourette Syndrome
  • Have experienced barriers to finding and/or maintaining employment related to their neurodivergence
  • Open to receiving workplace support from Specialisterne
  • Willing to submit to and successfully pass a comprehensive pre-employment background check (Employment Verification, Education Verification, Criminal History & Fingerprinting, Credit & Financial Checks)
  • Must be legally authorized to work in the United States, without the need for sponsorship now or in the future
  • Bachelor’s degree in Computer Science, Applied Mathematics, Engineering, or a related discipline
  • Intermediate programming skills using Java, Python, React, or SQL
  • Basic data modeling skills using Excel or similar tools
  • Basic version control skills in Git
  • Ability and willingness to learn new technical skills
  • Ability to be an independent thinker and a desire to take on challenges
  • Ability to stay business focused and push for quantifiable commercial impact
  • Ability to collaborate effectively across global teams and communicate complex ideas in a simple manner
  • A strong work ethic with a sense of ownership and urgency
  • Strong analytical and problem-solving skills
  • Daily oral communication
  • Daily email communication
  • Hourly to Daily instant messaging
  • Daily video communication (Camera is optional)
  • Weekly interacting with supervisors
  • Daily interacting with peers

Nice To Haves

  • Basic knowledge of working with complex business processes, data flows and consuming large amounts of data
  • Basic understanding of cloud infrastructure
  • Experience (professional, personal, or academic) with working on a project using AGILE methodology
  • Experience (professional, personal, or academic) with working with others via code reviews
  • Experience (professional, personal, or academic) with testing frameworks
  • Experience (professional, personal, or academic) with AI tools such as Copilot, ChatGPT, Claude

Responsibilities

  • Solve complex problems at scale and develop high-performance quality applications with a global user base
  • Build and deploy modern data management tools to curate key client reference data sets, models and workflows
  • Evaluate, select and acquire new internal or external data sets that contribute to business decision making
  • Engineer data processing pipelines while identifying areas for process automation and improving efficiency
  • Partner with data platform teams to adopt cloud-based processing pipelines and data distribution
  • Drive strategic initiatives and delivery of key programs of work across the Client Data or Vendor Data department and the broader division

Benefits

  • Workplace support from Specialisterne
  • Opportunity to transition to full-time employment
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