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Staff Data Engineer

  • [Location]
    • Austin, Texas
    • Roswell, Georgia
    • Warren, Michigan
  • 日程 Full time
  • 发表

描述

Work Arrangement

This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX, Roswell, GA, or Warren, MI three times per week, at minimum.

The Team:

The Loyalty Analytics and Campaign Enablement team is responsible for curating and providing data solutions to enable the General Motors organization to personalize the customer loyalty experience, drive engagement, and provide a holistic view of the Loyalty and GM Card program health and opportunities.

The team is responsible for both analytics and data strategy, as well as direct implementation of solutions to support General Motors Loyalty and GM Card programs.

The Role:

As a Staff Data Engineer will work as a member of a multi-disciplinary Kanban team of various experience levels and will be responsible for solution design, development, and deployment of data engineering solutions across Cloud Based Solutions ( Azure Databricks / Salesforce CRM-A ).  

You will build industrialized data assets and optimize data pipelines in support of Advance Analytic objectives. You will work closely with our forward-thinking Data Scientists, BI Developers, System Architects and Data Architects to deliver value to our vision for the future.

What You'll Do

  • Drive adoption of cloud-first technologies and industry-standard Data Engineering practices to accelerate and scale our engineering capabilities.
  • Organize and lead delivery of on-premises and cloud-based data solutions as a hands-on practitioner and team lead.
  • Adhere to standards and processes to validate, monitor, and support data products that enable our decision science portfolio and data science capabilities.  Actively drive standards adoption through pull-request reviews, design reviews, and other mechanisms as a practicing data engineer.
  • Collaborate with cross-functional teams, including data governance, security, data architecture, release management, Dev & ML Ops, and infrastructure, to ensure seamless integration and alignment of data engineering initiatives.
  • Stay up to date with emerging trends and technologies in the field of Data Engineering, and proactively identify opportunities for improvement and innovation within our organization.
  • Participate in a culture of continuous learning, knowledge sharing, and development within the team and the broader data engineering community.

[Additional Description]

Your Skills & Abilities (Required Qualifications)

  • Expert programming skills in data and analytics platforms, big data processing frameworks and languages, and development tools including Azure (or similar), Databricks, Spark, Python, SQL, and GitHub.
  • Experience Implementing DevSecOps processes in a data engineering environment.
  • 10+ years of hands-on experience developing and implementing enterprise-scale data and analytics solutions using modern hybrid cloud technologies with a focus on data pipelines and reporting.
  • Advanced experience in SQL and NoSQL databases, including Postgres and ADLSv2.
  • In-depth knowledge of industry-standard Data Engineering practices including data privacy & security, ETL/ELT, data architecture, data quality assurance, performance optimization, source code management, release management, and operations.
  • Bachelor's degree (or equivalent work experience) in Computer Science, Data Science, Software Engineering, or a related field.  Master's degree is a plus.
  • Effective communication and people skills, with the ability to collaborate effectively with cross-functional technical teams and non-technical stakeholders.   Experience leading teams and efforts.  
  • Naturally curious with the ability to work independently and proactively. 
  • Ability to develop engineers through coaching, mentorship, and project efforts.
  • Experience working in an Agile development environment.

This job may be eligible for relocation benefits.

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.

A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review.

#LI-KB1

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.