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General Motors

Staff Software Engineer - Data Delivery

Job Posted 22 Days Ago Posted 22 Days Ago
Hybrid
Austin, TX
Senior level
Hybrid
Austin, TX
Senior level
Develop and maintain large scale data streaming platforms and data-related systems, ensuring data integrity and mentoring junior engineers.
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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 seeking a Staff Software Engineer with a proven track record building large scale data streaming platforms. The ideal candidate will play a crucial role in developing and maintaining data-related systems comprising high throughput data streams, data curation and data storage / file system architectures, data security and governance, as well as inline inferencing and AI algorithms.
What You'll Do
  • Develop a scalable data platform to support continuing increases in data volume and complexity.
  • Develop data pipelines to ingest, process, and curate large volumes of data using Spark Structured Streaming or similar technologies.
  • Support the infrastructure required for optimal ingestion, transformation, and delivery of data.
  • Design and implement rigorous data validation, governance, and quality checks to uphold data integrity.
  • Mentor & Support junior engineers by providing guidance, coaching and educational opportunities.

Your Skills & Abilities (Required Qualifications)
  • Bachelor's degree in computer science or a related field
  • At least 7 years of hands on experience with Big Data Tools: Hadoop, Spark, Kafka, etc.
  • - You have mastery with databases - Advanced SQL and NoSQL databases, including Postgres and Cassandra
  • Proven cloud experience and strong familiarity with at least one cloud platform (Microsoft Azure - preferred , AWS, GCP).
  • Experience in building distributed data processing micro-services and high-quality, scalable data products.
  • Stream-processing systems: Storm, Spark-Streaming, etc.
  • 10 or more years with object-oriented/object function scripting languages: Python, Java, Scala, etc.
  • Ability to tackle problems quickly and completely
  • Ability to identify tasks which require automation and automate them
  • A demonstrable understanding of networking/distributed computing environment concepts
  • Ability to multi-task and stay organized in a dynamic work environment
  • Good understanding and experience with CI/CD practices.

What Can Give You a Competitive Advantage (Preferred Qualifications)
  • Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Azure cloud services

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- $253,200. 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 (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
#LI-CC1
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 (U.S. and Canada)
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 Careers.Accommodations@GM.com 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

AWS
Azure
Cassandra
Ci/Cd
GCP
Hadoop
Java
Kafka
NoSQL
Postgres
Python
Scala
Spark
SQL

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