Software Engineer II

Description

We are looking for a highly motivated and self-driven software developer to join our Data Ingestion Automation team. A new member of the team will have the opportunity to work with some of the largest education datasets in the world gathered through Pearson’s online learning products.

The core mission of the Data Ingestion Automation team is to enable and automate the ingestion of data to improve Pearson products, learning content, and learner experience. The position provides the opportunity to engage in cutting-edge development and to make a substantial contribution to learning and instruction. This position will have the opportunity to pioneer the adoption of AI to enable more rapid data capture utilizing both AWS and GCP hyperscalers.

We are bold thinkers and standout innovators who motivate each other to explore new frontiers in an environment that supports and inspires us to always improve.

By pushing the boundaries of technology and pushing each other to surpass them, we create an environment that leads not only the education industry but creates seeds of learning that become the catalyst for the world’s innovations, personal and global, large and small.

Responsibilities:

• Designs and implements new, unit tested software. 

• Maintains and enhances existing software.

• Actively participates in customer, requirements, architecture, and design meetings.

• Enjoys a healthy technical debate but knows how to collaboratively solve problems that move everyone forward.

• Uses logical analysis, theoretical deduction, and sound reasoning to troubleshoot challenging technical and business problems.

• Contributes to the continuous integration pipeline deploying into both AWS and GCP environments utilizing Terraform. 

• Works efficiently and collaboratively in an Agile (Scrum or Kanban) team environment.

• Follows DevOps practices: owning software application(s) and code from development through deployment.

• Works with Big Data technologies (Kinesis, SQS, BigQuery) that deal with large-scale distributed data processing.