Analyze user requirements and define functional specifications using Agile methodologies
Analyze large data sets using Python-based data frameworks
Develop applications to improve data quality using Python and PySpark
Build RESTful microservices and APIs in a platform-oriented architecture
Work with underwriting resources and document the correct underwriting decisions
Develop hypothesis about potential underwriting features
Ensure that data results can be replicated across customer and internal systems
Develop automation testing solutions using PyTest and Selenium
Collaborate with customers to identify new features and data sources

Requirements

Master’s degree in Computer Science, Computer Engineering, or related field
3 years of experience as Software Engineer, Sr. Software Engineer, Platform Engineer, or a related occupation
Experience building RESTful microservices and APIs in a platform-oriented architecture
Experience coding with Test Driven Development (TDD) methodology
Experience working with databases (Elasticsearch, Snowflake, RDBMS, MariaDB, MySQL, and NoSQL)
Experience working with Machine Learning pipelines (models and algorithms)
Experience with Bash & Python scripts and code management tools including Git, Gitlab, and Jenkins

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

PythonPySparkRESTful microservicesAPIsTest Driven DevelopmentElasticsearchSnowflakeRDBMSMariaDBMySQL

collaborationanalysisdocumentation

Master’s degree in Computer ScienceMaster’s degree in Computer Engineering