Senior Data Engineer – Intelligent Manufacturing at General Motors

Austin, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Manufacturing, AutomotiveIndustries

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent experience
7+ years of data engineering/development experience, including Python or Scala, SQL, and relational/non-relational data storage (ETL frameworks, big data processing, NoSQL)
3+ years of experience in distributed data processing (Spark) and container orchestration (Kubernetes)
Proficiency in data streaming in Kubernetes and Kafka
Experience with cloud platforms – Azure preferred; AWS or GCP also considered
Solid understanding of CI/CD principles and tools
Familiarity with big data technologies such as Hadoop, Hive, HBase, Object Storage (ADLS/S3), Event Queues
Strong understanding of performance optimization techniques such as partitioning, clustering, and caching
Proficiency with SQL, key-value datastores, and document stores
Familiarity with data architecture and modeling concepts to support efficient data consumption
Strong collaboration and communication skills; ability to work across multiple teams

Responsibilities

Assemble large, complex data sets that meet functional and non-functional business requirements
Identify, design, and implement process improvements, including automation, data delivery optimization, and infrastructure redesign for scalability
Lead and deliver data-driven solutions across multiple languages, tools, and technologies
Contribute to architecture discussions, solution design, and strategic technology adoption
Build and optimize highly scalable data pipelines incorporating complex transformations and efficient code
Design and develop new source system integrations from varied formats (files, database extracts, APIs)
Design and implement solutions for delivering data that meets SLA requirements
Work with operations teams to resolve production issues related to the platform
Apply best practices such as Agile methodologies, design thinking, and continuous deployment
Develop tooling and automation to make deployments and production monitoring more repeatable
Collaborate with business and technology partners, providing leadership, best practices, and coaching
Mentor peers and junior engineers; educate colleagues on emerging industry trends and technologies

Skills

Data Pipelines

Databases

Streaming Technology

CI/CD

Cloud Platforms

Automation

Infrastructure Design

Scalability

Software Engineering

Business Intelligence

Advanced Analytics

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