Software Engineer, Payments Data Infrastructure

United States Digital Space LLC

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

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Job summary

United States Digital Space LLC is seeking software engineers to design and evolve core data infrastructure for Payments, enabling reliable, scalable data for decision making.

You will build data pipelines, collaborate with product, data science, and analytics teams, and contribute to a self-serve data platform while ensuring security and compliance. This role offers growth in a fast-paced environment and exposure to cutting-edge data technologies.

Qualifications

  • Bachelor's degree in CS or related field or equivalent practical experience.
  • 2 years of software development experience in at least one language.
  • Experience with large-scale data processing and distributed systems.

Responsibilities

  • Design, develop, and implement data pipelines and infrastructure.
  • Take ownership of technical problems from ideation to end-to-end solutions.
  • Collaborate with Product Managers, Data Scientists, Analysts, and Feature Engineering teams to understand data needs and deliver data solutions.
  • Identify opportunities to improve system efficiency, reliability, and developer experience within the data platform.
  • Advocate and implement best practices in data infrastructure, software development, testing, and monitoring to ensure reliability, scalability, and efficiency of GDP's systems.

Skills

Programming languages
Distributed systems

Education

Bachelor's degree in CS or related field
Equivalent practical experience

Job description

United States Digital Space LLC is seeking software engineers to design and evolve core data infrastructure for Payments, enabling reliable, scalable data for decision making.

You will build data pipelines, collaborate with product, data science, and analytics teams, and contribute to a self-serve data platform while ensuring security and compliance. This role offers growth in a fast-paced environment and exposure to cutting-edge data technologies.

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