Description:

Develop real-time data pipelines and solve big data problems using Spark, Python, Java/Scala, SQL, and AWS.
Write reliable, maintainable, and well-documented code to support millions of respondents.
Create and maintain optimal data pipeline architecture and execute the full software development life cycle in an Agile team.
Collaborate with Product Managers on requirements and utilize unit and integration testing.
Participate in on-call rotation and support business teams with data extracts and analysis.
Build analytics tools for actionable insights and manage end-to-end ETL pipelines.
Engineer robust streaming architecture for real-time insights and high-quality data delivery.
Work remotely from anywhere in the U.S.

Requirements:

Master’s degree in Computer Science, Technology Management, or related field.
At least 1 year of experience in a software engineer position or closely related occupation.
At least 1 year of experience with CI/CD pipeline integration, managing data pipelines, writing SQL queries, and utilizing tools like Github, SQL, REST APIs, and Jira.

Skills

Benefits