[Remote] Staff Data Engineer at General Motors

United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Marketing AnalyticsIndustries

Requirements

7+ years of hands-on experience
Bachelor's degree (or equivalent work experience) in Computer Science, Data Science, Software Engineering, or a related field
Strong understanding and ability to provide mentorship in data ETL processes and tools for designing and managing data pipelines
Proficient 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
Consistently models and leads in best practices and optimization for scripting skills in languages e.g. Python/Java/Scala, etc. for automation and data processing
Proficient with database administration and performance tuning for databases like MySQL, PostgreSQL, or NoSQL databases
Proficient with containerization (e.g., Docker) and orchestration platforms (e.g., Kubernetes) for managing data applications
Proven cloud experience and strong familiarity with at least one cloud platform (Microsoft Azure - preferred, AWS)
Experience in building distributed data processing micro-services and high-quality, scalable data products
Strong background in data modelling

Responsibilities

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 data protection using encryption, secure key management, and access controls to 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
Automate performance monitoring by capturing execution time, memory usage, and cost metrics, and surface insights through a real-time dashboard
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
Participate in the evaluation and selection of data related tools and technologies
Collaborate across other engineering functions within EDAI, Marketing Technology, and Software & Services
Provide domain-specific thought leadership by researching emerging data trends and technologies, and guiding technical teams through knowledge sharing, best practices, and strategic insights

Skills

Key technologies and capabilities for this role

ETLData PipelinesData WarehousesData LakesSQLPythonCloudEncryptionKey ManagementAccess ControlsData GovernanceDatabase AdministrationPerformance OptimizationScalabilityData QualityMonitoring

General Motors

Designs, manufactures, and sells vehicles

About General Motors

General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.

Detroit, MichiganHeadquarters

1908Year Founded

$486.7MTotal Funding

IPOCompany Stage

Automotive & Transportation, Financial ServicesIndustries

10,001+Employees

Benefits

Paid Vacation

Paid Sick Leave

Paid Holidays

Parental Leave

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) Company Match

401(k) Retirement Plan

Tuition Reimbursement

Student Loan Assistance

Flexible Work Hours

Discount on GM vehicles

Risks

Shutting down Cruise Robotaxi may affect investor confidence in GM's AV strategy.

Chevrolet Equinox EV recall could harm GM's safety reputation.

Leadership transition in design may disrupt continuity and brand identity.

Differentiation

GM's Dynamic Fuel Management system enhances fuel efficiency in traditional vehicles.

GM leads in board diversity with 55% women directors.

GM's pivot to personal autonomous vehicles aligns with consumer trends.

Upsides

Partnership with Nvidia boosts GM's autonomous vehicle technology capabilities.

Collaboration with ChargePoint expands EV charging infrastructure, enhancing consumer appeal.

Bryan Nesbitt's appointment as design head may bring innovation to GM's vehicle design.

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