Senior Data Engineer

Description
The Role
To achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion, we need people to join us who are passionate about creating safer, better and more sustainable ways for people to get around. This bold vision won't happen overnight, but just as we transformed how the world moved in the last century, we are committed to transforming how we move today and in the future.
Our culture is focused on building inclusive teams, where differences and unique perspectives are embraced so you can contribute to your fullest potential as you pursue your career. Our locations feature a variety of work environments, including open workspaces and virtual connection platforms to inspire productivity and flexible collaboration. Also, we are proud to support our employees' volunteer interests and make it a priority to join together in efforts that give back to our communities.
The Data Engineer role is responsible for designing, developing and maintaining data pipelines, databases and data infrastructure to enable the efficient data collection, storage and analysis. This role requires collaboration with data scientists, data infrastructure architects and data consumption stakeholders to ensure the availability of high-quality data for insights and decision making. This role drives to deliver innovative solutions with technical fidelity and thrives to work effectively across a cross-functional data and stakeholder ecosystem.
What You'll Do

• Design and develop cloud-based (Microsoft Azure) data storage solutions and data assets.
• Migrate on-premises corporate applications, jobs and related data to the cloud.
• Identifying best practices for cloud services monitoring and management.
• Design, construct, install and maintain data architectures, including database and large-scale processing systems.
• Develop and maintain ETL (Extract, Transform, Load) processes to collect, cleanse and transform data from various sources inclusive of cloud
• Design and implement data pipelines to collect, process and transfer data from various sources to storage systems (data warehouses, data lakes, etc.)
• Implement security measures to protect sensitive data and ensure compliance with data privacy regulations.
• Build data solutions that ensure data quality, integrity and security through data validation, monitoring, and compliance with data governance policies
• Administer and optimize databases for performance and scalability
• Maintain Master Data, Metadata, Data Management Repositories, Logical Data Models, and Data Standards
• Troubleshoot and resolve data-related issues affecting data quality fidelity
• Document data architectures, processes and best practices for knowledge sharing across the GM data engineering community

Your Skills & Abilities (Required Qualifications)

• 5 to 7 years of equivalent experience
• Bachelor's degree in Computer Science, Data Science, Information Systems/related field or relevant experience.
• Strong skills in SQL, Python, Unix and ability to write efficient ETL on Kubernetes and Cloud platforms
• Strong and hands-on experience in data bricks data engineering and management.
• Experience in the customer data domain would be pivotal.
• Strong understanding and ability to provide mentorship in the areas of data ETL processes and tools for designing and managing data pipelines
• Experience with big data frameworks and tools like Apache Hadoop, Apache Spark, or Apache Kafka for processing and analyzing large datasets.
• Hands on experience with data serialization formats like JSON, Parquet and XML
• Background in designing data solutions that are highly automated and provide consistent and accurate outcomes.
• Experience in actively managing large-scale data engineering projects, including planning, resource allocation, risk management, and ensuring successful project delivery. Knowledge of various SDLCs (i.e.: Waterfall, Agile, POD, etc.) is a plus.
• Understanding of data governance principles, data privacy regulations, and experience with implementing security measures for data protection.
• Ability to work effectively in cross-functional teams, collaborate with data scientists, analysts, and stakeholders to deliver data solutions.
• Influential communication skills to effectively convey technical concepts to non-technical stakeholders and document data engineering processes
• Must model a mindset of continuous learning, staying updated with the latest advancements in data engineering technologies, and driving for innovation.

Additional Description
This role is categorized as hybrid. This means the successful candidate is expected to report to Mountain View, Roswell, Warren, or Austin three times per week, at minimum.
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
The compensation information is a good faith estimate only. It is based on what a successful applicant in the California Bay Area which includes the following counties: Marin, Contra Costa, San Francisco, Alameda, San Mateo, Santa Clara, and Santa Cruz might be paid in accordance with the California law.
The compensation may not be representative for positions located outside of the California Bay Area.
The annual salary range for this role is $110,200 - $176,100. 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.
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.
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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 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. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, 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.
Diversity Information
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 workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. 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
Equal Employment Opportunity Statement (U.S.)
General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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 [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.