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General Motors

Staff Software Engineer - Data Delivery

Posted 4 Days Ago
Hybrid
Austin, TX
165K-271K Annually
Expert/Leader
Hybrid
Austin, TX
165K-271K Annually
Expert/Leader
The Staff Software Engineer will design and develop a scalable data platform, build data pipelines, ensure data integrity, and mentor junior engineers.
The summary above was generated by AI
Description
This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX three times per week, at minimum.
The Role
The Data Delivery team is looking for a Staff Software Engineer with a strong track record in building large-scale data streaming platforms. The ideal candidate will play a key role in developing and maintaining systems that support high-throughput data streams, data curation, storage and file system architectures, data security and governance, as well as real-time inferencing and AI-driven algorithms.
What You'll Do
  • Design and develop a scalable data platform to support growing data volume and complexity.
  • Build robust data pipelines to ingest, process, and curate large datasets using Java, Apache Flink, and related technologies.
  • Maintain and enhance infrastructure for efficient data ingestion, transformation, and delivery.
  • Implement rigorous data validation, governance, and quality assurance to ensure data integrity.
  • Mentor and support junior engineers through guidance, coaching, and learning opportunities.

Your Skills & Abilities (Required Qualifications)
  • Bachelor's degree in Computer Science or a related field
  • Extensive hands-on experience with Java, Kafka, Pulsar, Apache Flink, and similar technologies
  • Deep expertise in databases, including advanced SQL and NoSQL (e.g., Postgres, Cosmos)
  • Proven experience with cloud platforms, with strong proficiency in at least one (Microsoft Azure preferred; AWS or GCP also valuable)
  • Track record of building distributed, data-processing microservices and scalable, high-quality data products
  • 10+ years of experience with object-oriented programming languages
  • Strong problem-solving skills with the ability to address issues quickly and thoroughly
  • Skilled at identifying opportunities for automation and implementing effective solutions
  • Solid understanding of networking and distributed computing concepts
  • Highly organized, with the ability to manage multiple tasks in a fast-paced environment
  • Good understanding and experience with CI/CD practices.

Additional Description
This job may be eligible for relocation benefits.
A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review.
Compensation:
  • The expected base compensation for this role is: $165,000- $270,900. Actual base compensation within the identified 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.
  • 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.

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., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
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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.
Total Rewards | 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, email us [email protected] or call us at 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.

Top Skills

Apache Flink
AWS
Cosmos
GCP
Java
Kafka
Azure
Postgres
Pulsar

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