Data Engineer - Data Software Engineering and Cloud Platforms, Early Career

GM•Austin, TX

6d•Hybrid

About The Position

The GM Data Engineering team is seeking early career candidates to help build large scale data platforms on cloud environments. The ideal applicants for these roles have a bachelor’s degree in software engineering, computer science, mathematics, information technology or similar.

Requirements

Pursuit of a bachelor’s degree in one of the following areas: Computer Science, Software Engineering, Electrical/Computer Engineering, Information Technology or related degree
Able to work fulltime, 40 hours per week

Nice To Haves

Strong SQL skills and familiarity with modern databases
Basic programming experience in Python, Java, and/or Scala
Understanding of data modeling concepts and ETL processes
Excellent problem-solving and communication skills
Eagerness to learn and grow in a collaborative environment
Familiarity with cloud platforms (AWS, GCP, or Azure) and data engineering platforms (Databricks / Snowflake) and Git and basic Linux/CLI is a plus

Responsibilities

Lead the design and development of migrating on-prem data systems to cloud environments
Design data solutions around current and future data security and privacy requirements
Work with data engineers and data scientists to understand data needs and deliver solutions
Build and maintain operational and analytic datastores
Assist in designing, developing, and maintaining ETL/ELT pipelines
Document processes and contribute to knowledge sharing within the team
Learn how to optimize cloud compute and storage cost