Software Engineer

SoFiCottonwood Heights, UT
Remote

About The Position

Social Finance, LLC seeks Software Engineer in Cottonwood Heights, UT: Job Duties: Contribute to the development, testing, and lifecycle of our Capital Markets, Investor Reporting, and Accounting systems and services, including related data pipelines and reporting functionality. Create well written technical documentation, including writing and contributing to design documents and POCs to plan out systems and functionality for our business partner use cases. Implement new functionality in our existing components for the team to leverage. Review and approve code in Gitlab. Identify inefficiencies, make recommendations for improvements to optimize processes, systems, and data flows. Foster effective communication with project leads, product managers, software developers, and data consumers. Support other engineers and the technical culture and help grow the team. Evangelize good, team best practices around data and team processes. Telecommuting is an option.

Requirements

  • Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or a related quantitative discipline, and six (6) months of experience in the job offered or in any occupation in related field.
  • Java
  • Kotlin
  • React
  • Spring Boot
  • AWS
  • PostgreSQL
  • MongoDB
  • Airflow
  • DBT
  • Snowflake
  • Kafka
  • Terraform
  • Python
  • SQL
  • Any suitable combination of education, training and/or experience is acceptable.

Responsibilities

  • Contribute to the development, testing, and lifecycle of our Capital Markets, Investor Reporting, and Accounting systems and services, including related data pipelines and reporting functionality.
  • Create well written technical documentation, including writing and contributing to design documents and POCs to plan out systems and functionality for our business partner use cases.
  • Implement new functionality in our existing components for the team to leverage.
  • Review and approve code in Gitlab.
  • Identify inefficiencies, make recommendations for improvements to optimize processes, systems, and data flows.
  • Foster effective communication with project leads, product managers, software developers, and data consumers.
  • Support other engineers and the technical culture and help grow the team.
  • Evangelize good, team best practices around data and team processes.
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