General Motors

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

US · Hybrid · Full time

Apply on the employer’s site ↗See how well you match this job

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

Role details

Does the apply link above not work?

About the employer

  • EmployerGeneral Motors
  • Open roles on ROLIVA480 open roles
  • Where this posting comes fromListed on the employer’s own careers site: generalmotors.wd5.myworkdayjobs.com

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

  • EmployerGeneral Motors
  • LocationUS
  • Work styleHybrid
  • Employment typeFull time
  • Employer posted

Job Description

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.

Show full description

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

Your Skills & Abilities

·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

Compensation

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.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Staying safe while you apply

  • Never pay to apply, interview or accept an offer — ROLIVA never asks you for payment to apply to a job.
  • Apply only through the official button above, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
  • Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” above, or read ROLIVA’s full job-safety guidance ↗.

Preparing for this role with ROLIVA

  • Check the fit.

    Compare the requirements with the experience you have confirmed, including gaps.

  • Prepare honestly.

    Build interview stories and application drafts from your own evidence.

  • Keep track.

    Save the role and record your own application status and follow-ups.

Create a free workspace or log in.

Explore similar roles

Similar jobs

GoCardless

Data Engineer

Riga, LV

Work style not stated

GoCardless

Data Engineer

Lisbon, PT

Work style not stated

Prudential Financial

Senior Data Engineer

US

Work style not statedFull time