Staff Cloud Data Engineer This role is categorized as hybrid. This means the successful candidate is expected to report onsite at the Austin, TX, Warren, MI, or Roswell, GA three times per week, at minimum or other frequency dictated by the business. The Role As a Staff Cloud Data Engineer, you will play a critical role in architecting, designing, and delivering scalable, high-performance data solutions in the cloud. You will lead the development of systems that support efficient data processing, storage, and retrieval. This is a senior-level role that requires deep technical expertise, strong leadership, and a demonstrated history of executing complex data engineering initiatives. In addition to strong data engineering capabilities, a solid foundation in software engineering principlessuch as code quality, design patterns, testing, and CI/CDis highly valued. The ideal candidate combines a data-driven mindset with modern software engineering best practices to build robust, maintainable, and production-ready data systems. Prospective team member possesses a high degree of business insight, creativity, decision making skills, a drive for results, the ability to negotiate, the ability to develop strong peer relationships, and a strong technical learning capability and focus. Your Skills & Abilities (Required Qualifications) Bachelor's Degree in Computer Science, Engineering, or equivalent degree Over 10 years of experience in building, operating scalable and reliable platforms. Expertise leading Agile (scrum and feature driven development) teams that have regularly (daily + weekly) delivered software while practicing code reviews Develop data models and schemas that support efficient data storage, retrieval, and analytics, employing optimization techniques to enhance query performance and scalability Expertise in SQL (relational databases), key-value datastores, and document stores Creating self-contained, reusable, and testable modules and components in frontend and backend work Leverage big data technologies and frameworks (e.g., Hadoop, Spark, Hive) to process and analyze large volumes of data, enabling advanced analytics and machine learning initiatives. Manage and optimize data infrastructure, including cloud-based platforms, containerization technologies, and distributed computing environments. Ensure the security and privacy of our data and compliance with relevant regulations. Evaluate new technologies and tools for data processing, storage, and retrieval and recommend solutions to improve the efficiency and scalability of our data infrastructure. Strong proficiency in data engineering technologies, such as ETL frameworks, big data processing, and SQL and NoSQL databases. Excellent verbal and written communication skills and ability to effectively communicate and translate feedback, needs and solutions Creative problem-solving skills that deliver elegant solutions to complex issues Strong understanding of distributed systems and the modern data stack Experience with Databricks or snowflake and Azure/GCP platforms Experience using Git source control doing rebases, merges, and handling merge conflicts Experience in enterprise integration, common integration patterns (batch, micro-batch, near real-time and real time) and ETL tools Knowledge of cloud-native architecture and best practices Demonstrated knowledge and implementation experience of Data Streaming architectures Define, document, and maintain architecture patterns Additional Job Description What Can Give You a Competitive Advantage (Preferred Qualifications) Over 6 years utilizing platform and infrastructure as a service technologies and capabilities and their corresponding services (object store, configuration management, service registries, etc) Experience with Databricks/Snowflake and Azure/GCP platforms will be an added advantage Experience using Git source control doing rebases, merges, and handling merge conflicts Exposure to software defined networking, zero trust security models, micro segmentation and second layer of defense technologies Experience in enterprise integration, common integration patterns (batch, micro-batch, near real-time and real time) and ETL tools Working knowledge of Hadoop, Spark, Object Storage (ADLS/S3), Event Queues Demonstrated knowledge and implementation experience of Data Streaming architectures and design principles Knowledge of cloud-native architecture and best practices Hands on Experience with stream processing in Kubernetes Hands on experience with Elastic search and Kafka Ecosystem Strong proficiency in sql, python and pyspark. proven ability to optimize sql queries and performance tune data pipelines. Experience in building and operating highly available, distributed data pipelines for large-scale data ingestion, processing, and extraction. Experience integrating multi-cloud services with on-premises technologies. strong understanding of data modeling processes. Proven ability to solve complex data problems, collaborate effectively with cross-functional teams, and deliver high-quality solutions Knowledge of cloud-native architecture and best practices Hands on Experience with stream processing in Kubernetes Hands on experience with Elastic search and Kafka Ecosystem This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. 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: $160,200 - $258,700. 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. 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 aspire to be the most inclusive company in the world. 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. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team. Benefits Overview The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan includes, the following benefits, in addition to many others: Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; Company and matching contributions to 401K savings plan to help you save for retirement; Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; Tuition assistance and student loan refinancing; Discount on GM vehicles for you, your family and friends. Diversity Information General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer. Equal Employment Opportunity Statements GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination