Descripción

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 principles—such as code quality, design patterns, testing, and CI/CD—is 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 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.

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Información sobre diversidad

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Declaración de igualdad de oportunidades en el empleo (EE.UU.)

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Adecuaciones (EE.UU. y Canadá)

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