Senior Data Engineer - GPSC Insights Engineering at General Motors

Austin, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Supply ChainIndustries

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 and disciplines

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

Key technologies and capabilities for this role

Data EngineeringData PipelinesSQLStreaming TechnologyCI/CDCloud PlatformsPythonScalabilityAutomationBusiness IntelligenceAdvanced AnalyticsArchitecture Design

Questions & Answers

Common questions about this position

Is this a remote position or does it require office work?

This role is categorized as hybrid, requiring the successful candidate to report to Austin, TX three times per week at minimum, or other frequency dictated by the business if more than 3 days.

What are the required qualifications and experience for this Senior Data Engineer role?

Candidates need a Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience) and 7+ years of data engineering/development experience, including Python or Scala, SQL, and relational/non-relational data storage.

What is the salary or compensation for this position?

This information is not specified in the job description.

What kind of team and work environment can I expect in this role?

You will work in a collaborative, cross-disciplinary environment within the GPSC Insights Engineering team, contributing to projects across databases, streaming technology, CI/CD, and cloud platforms while collaborating with business and technology partners.

What makes a strong candidate for this Senior Data Engineer position?

Strong candidates will have 7+ years of data engineering experience with Python or Scala, SQL, and data storage technologies, plus the ability to lead data-driven solutions, mentor peers, and apply best practices like Agile methodologies.

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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