Cloud Data Engineer – ETL, SQL & Python | Early Career

General Motors Company; Austin (TX); Hybrid; USD 85,000 - 131,000; Full time

Job summary

General Motors is seeking early‑career data engineers to join the Data Engineering team, helping migrate on‑prem data systems to the cloud and design secure, scalable data solutions. Candidates should have a bachelor’s degree in software engineering, computer science, mathematics, information technology, or related fields.

The role offers exposure to AWS/GCP/Azure, Databricks and Snowflake, with collaboration across data engineers and data scientists to meet evolving data needs and deliver

Qualifications

• Bachelor’s degree in software engineering, computer science, mathematics, information technology or similar.
• Able to work full-time, 40 hours per week.

Responsibilities

• Lead 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.

Skills

SQL skills

Python/Java/Scala

Data modeling

ETL/ELT concepts

Cloud platforms

Databricks/Snowflake

Git/Linux CLI

Education

Bachelor's degree in Computer Science or related field

Tools

SQL

Databricks

Snowflake

Python

Java/Scala

Job description

General Motors is seeking early‑career data engineers to join the Data Engineering team, helping migrate on‑prem data systems to the cloud and design secure, scalable data solutions. Candidates should have a bachelor’s degree in software engineering, computer science, mathematics, information technology, or related fields.

The role offers exposure to AWS/GCP/Azure, Databricks and Snowflake, with collaboration across data engineers and data scientists to meet evolving data needs and deliver