描述

This role is based remotely but if you live within a 50-mile radius of an office [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum.

The Role

The Marketing Applied Sciences team is responsible for developing analytics-driven solutions to help GM Marketing Organizations achieve their business goals. The Staff 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 in support of marketing strategies. 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 is available and will deliver value to the GM strategic vision for the future and meet prioritized business needs. 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, 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
Participate in the evaluation and selection of data related tools and technologies
Collaborate across other engineering functions within EDAI, Marketing Technology, and Software & Services

Your Skills & Abilities (Required Qualifications)

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 the areas of 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 like Python, Java, Scala, etc for automation and data processing.
Proficient with database administration and performance tuning for databases like MySQL, PostgresSQL or NoSQL databases
Proficient with containerization (e.g., Docker) and orchestration platforms (e.g., Kubernetes) for managing data applications.
Experience with cloud platforms and data services for data storage and processing
Consistently designs solutions and build data solutions that are highly automated, performant, with quality checks that provide data consistency and accuracy outcomes
Experienced at actively managing large-scale data engineering projects, including planning, resource allocation, risk management, and ensuring successful project delivery and adjust style for all delivery methods (ie: Waterfall, Agile, POD, etc)
Understands data governance principles, data privacy regulations, and experience implementing security measures to protect data
Able to integrate data engineering pipelines with machine learning models and platforms
Strong problem-solving skills to identify and resolve complex data engineering issues efficiently.
Ability to work effectively in cross-functional teams, collaborate with data scientists, analysts, and stakeholders to deliver data solutions.
Ability to lead and mentor junior data engineers, providing guidance and support in complex data engineering projects.
Influential communication skills to effectively convey technical concepts to non-technical stakeholders and document data engineering processes.
Models a mindset of continuous learning, staying updated with the latest advancements in data engineering technologies, and a drive for innovation.

PREFERRED QUALIFICATIONS:

Master’s Degree or Ph.D. in Computer Science, Engineering, Marketing Science, Econometrics, Statistics, Psychometrics, (Bio)Statistics, Applied Mathematics, Operations Research, or another quantitative field.

[Additional Description]

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

Compensation:

The expected base compensation for this role is: $117,800 - $194,300. 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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Renseignements sur la diversité

General Motors est résolue à être un lieu de travail qui est non seulement exempt de discrimination illégale, mais aussi un endroit qui favorise véritablement l'inclusion et l'appartenance. Nous sommes convaincus que la diversité de la main-d'œuvre permet de créer un environnement dans lequel nos employés peuvent s'épanouir et développer de meilleurs produits pour nos clients. Nous encourageons les candidats intéressés à consulter les principales responsabilités et compétences requises pour chaque rôle et à postuler à tout poste qui leur correspond. Dans le cadre du processus de recrutement, les candidats peuvent devoir, le cas échéant, réussir une évaluation liée au poste ou une présélection d'emploi avant d'être embauchés. Pour en savoir plus, consultez notre processus de recrutement.

Déclaration concernant l'égalité d'accès à l'emploi (É.-U.)

General Motors est fière d'être un employeur souscrivant au principe de l'égalité d'accès à l'emploi. Tous les candidats qualifiés seront pris en compte, sans égard à la race, à la couleur, à la religion, au sexe, à l'orientation sexuelle, à l'identité de genre, à l'origine ethnique, aux situations de handicap ou au statut protégé d'ancien combattant.

Aménagements (É.-U. et Canada)

General Motors offre des occasions à tous les chercheurs d'emploi, y compris les personnes handicapées. Si vous avez besoin d'un accommodement raisonnable pour vous aider dans votre recherche d'emploi ou la soumission de votre candidature, envoyez-nous un courriel à l'adresse Careers.Accommodations@GM.com ou appelez-nous au 800 865-7580. Veuillez inclure dans votre courriel une description spécifique du type d'accommodement demandé, ainsi que le titre d'emploi et le numéro de demande du poste auquel vous postulez.