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

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

This role is categorized as hybrid. This means the successful candidate is expected to report tooffices in Austin, TX, Warren, MI or Seattle, WA three times per week, at minimum.

The Role:

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.

What You’ll Do:

• 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

Software Engineering, Cloud Computing, Government, Information Technology & Information Systems, Computer Science, Cloud Computing, Mathematics, Software Engineering, Information/Data Security (InfoSec), Privacy Controls, * 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

What Will Give You a Competitive Edge

• 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

The salary range for this role is from $84,900 - $130,500. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

What you’ll get from us (Benefits):

GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we’re looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.