Specialisterne-posted 3 days ago
Full-time • Intern
Onsite • Dallas, TX

Organization: Goldman Sachs Job Title: Software Engineer Location: Dallas, TX Employment Terms: This role is an 8-week internship with the opportunity to transition to full-time Internship and full-time employment are both fully in-office Hours: Monday-Friday, 9:00am-5:00pm Overtime: Some weekends may be required, depending on maintenance cycles Target Start Date: May 4, 2026 Estimated Salary: $90,000/year Must be legally authorized to work in the United States, without the need for sponsorship now or in the future Essential Tasks - In this job, you will: 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 General Skills and Abilities - In this job you will demonstrate: The ability and willingness to learn new technical skills The ability to be an independent thinker and a desire to take on challenges The ability to stay business focused and push for quantifiable commercial impact The 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 Digital/Technical Skills - In this job you will demonstrate: Intermediate programming skills using Java, Python, React, or SQL Basic data modeling skills using Excel or similar tools (such as column labeling and adjusting data to represent data in a user-friendly way that is easily consumed) Basic version control skills in Git Education/Knowledge - In this job you need to have: Bachelor’s degree in Computer Science, Applied Mathematics, Engineering, or a related discipline Basic knowledge of working with complex business processes, data flows and consuming large amounts of data is nice to have but not required Basic understanding of cloud infrastructure is nice to have but not required Experience - In this job you need to have: Experience (professional, personal, or academic) with any of the following is nice to have but not required: Working on a project using AGILE methodology Working with others via code reviews Testing frameworks AI tools such as Copilot, ChatGPT, Claude Code Social Interaction - The following types of communication and interaction are required to perform the job successfully: Oral communication: Daily Email communication: Daily Instant messaging: Hourly to Daily Video communication: Daily (Camera is optional) Interacting with supervisors: Weekly Interacting with peers: Daily Job Stressors - Employees sometimes find the following stressful about this job: Working on projects with tight timelines Projects will require creative problem-solving and troubleshooting that may involve working through frequent hurdles or roadblocks Recognizing the correct point to stop unproductive efforts and ask for help or escalate issues when encountering roadblocks The need to rapidly pivot between changing tasks/assignments can be challenging Job Motivators - Employees tend to find the following motivating or rewarding: Working in a fun and collaborative team-oriented environment The opportunity to take on new challenges on a regular basis and not get stuck in repetitive tasks New opportunities for problem solving and learning new technologies Learning how technology unlocks commercial opportunities Candidate Assessment - To be considered for this role, compatible applicants: Will complete a Candidate Profile Will complete technical assessments using CoderPad and/or HackerRank Will be invited to participate in a Structured Candidate Meeting with the hiring manager(s) Workplace Support Specialisterne and our employer partners are committed to providing inclusive onboarding experiences and supporting new employees as they learn on the job All new hires continue to liaise with a Specialisterne Workplace Support Specialist throughout the duration of the internship Beware of scams and fraudulent job postings. Specialisterne only accepts applications through our careers page at https://specialisterne.applytojob.com/apply

  • 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
  • The ability and willingness to learn new technical skills
  • The ability to be an independent thinker and a desire to take on challenges
  • The ability to stay business focused and push for quantifiable commercial impact
  • The 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
  • Intermediate programming skills using Java, Python, React, or SQL
  • Basic data modeling skills using Excel or similar tools (such as column labeling and adjusting data to represent data in a user-friendly way that is easily consumed)
  • Basic version control skills in Git
  • Bachelor’s degree in Computer Science, Applied Mathematics, Engineering, or a related discipline
  • Must be legally authorized to work in the United States, without the need for sponsorship now or in the future
  • Basic knowledge of working with complex business processes, data flows and consuming large amounts of data is nice to have but not required
  • Basic understanding of cloud infrastructure is nice to have but not required
  • Experience (professional, personal, or academic) with any of the following is nice to have but not required:
  • Working on a project using AGILE methodology
  • Working with others via code reviews
  • Testing frameworks
  • AI tools such as Copilot, ChatGPT, Claude Code
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