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6 дней назад

Data Engineer (Cloud Data Platforms)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Engineer (Cloud Data Platforms): Designing and managing scalable batch and streaming data pipelines for business and analytics needs with an accent on cloud platforms, distributed data processing, privacy compliance, and modern data architectures. Focus on integrating diverse data sources, monitoring data loads, evaluating emerging technologies, and applying AI-enabled tools responsibly.

Location: Arlington, Texas, United States (hybrid); two days per week in the office

Company

hirify.global is General Motors' captive finance subsidiary, providing retail, lease, and commercial auto-finance solutions across North America, South America, and the Asia Pacific region.

What you will do

  • Design, integrate, and manage data pipelines using internal systems, external sources, and data warehouses.
  • Build business rules, functional enhancements, and scalable data schemas and processes.
  • Research and evaluate batch and streaming data-engineering technologies and support adoption of emerging capabilities.
  • Monitor data loads and resolve data availability and activation issues with internal business clients.
  • Coordinate with Privacy Compliance on appropriate data collection and handling.

Requirements

  • Experience designing, processing, and managing large-scale data with distributed platforms such as Hadoop, Spark, Kafka, or HDFS.
  • Hands-on experience with Azure, AWS, or Google Cloud and infrastructure-as-code tools such as Terraform, ARM Templates, or CloudFormation.
  • Experience building ETL and data pipelines across JSON, Parquet, relational and cloud databases, and messaging platforms.
  • Knowledge of data lakes, lakehouses, streaming pipelines, object storage, SQL/NoSQL databases, Docker, Kubernetes, Git, and CI/CD.
  • Understanding of data privacy, security, governance, regulatory considerations including GDPR, and Agile delivery methods.
  • High school diploma or equivalent and a bachelor's degree in a related field or equivalent experience required. Visa sponsorship is not available now or in the future.

Nice to have

  • Experience with Adobe Experience Platform, Real-Time CDP, Journey Analytics, tag management platforms, SDKs, or REST APIs.
  • Experience with data engineering and AI-enabled tools, including evaluating AI outputs for accuracy, compliance, bias, ethics, and data protection.

Culture & Benefits

  • Flexible hybrid work environment with two office days per week.
  • 401(k) matching and a 12-week fully paid bonding leave for new parents.
  • Tuition assistance, training, community service pay, and nine company holidays.
  • GM employee auto discount and bonus eligibility.

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