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23 часа назад

Senior Data Engineer (AI)

125 000 - 168 650$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Engineer (AI) (SQL/Python/Databricks): Building scalable data products and production-grade pipelines for customer care and aftersales analytics, AI, reporting, and operational decision-making with an accent on trusted datasets, distributed processing, and governed data reuse. Focus on optimizing high-volume workloads, implementing data quality and observability, and operationalizing SQL and Python solutions for reliability and cost efficiency.

Location: Hybrid in Austin, Texas; attendance at the Austin Technical Center at least three times per week is required.

Salary: $125,000–$168,650 base compensation annually, plus bonus potential and benefits.

Company

hirify.global develops automotive products and services with a focus on safer, more sustainable, and more equitable mobility.

What you will do

  • Build and support data products for analytics, AI, reporting, and operational decision-making.
  • Design and develop scalable pipelines that ingest, transform, curate, and publish high-volume operational data.
  • Create trusted, reusable aftersales datasets and optimize distributed workloads for performance, reliability, scalability, and cost efficiency.
  • Implement data quality, governance, observability, monitoring, CI/CD, and automation capabilities.
  • Build governed frameworks for operationalizing SQL and Python solutions at scale.
  • Partner with stakeholders, analysts, architects, and engineers; mentor engineers and contribute to engineering standards.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
  • 5+ years of experience in data engineering, software engineering, or a related discipline.
  • Expert-level SQL skills and strong software engineering skills in Python or Java.
  • Experience building production-grade data pipelines, distributed data processing solutions, and large-scale workloads.
  • Experience with Databricks or similar platforms, cloud environments such as Azure, AWS, or GCP, and streaming technologies such as Kafka, Pulsar, or Event Hubs.
  • Must work in the hybrid Austin arrangement and must not require GM immigration sponsorship now or in the future.

Nice to have

  • Experience creating trusted, scalable data products used by analysts and business users.
  • Ability to balance speed, scalability, reliability, and cost as data products grow.

Culture & Benefits

  • Health, dental, and vision coverage.
  • Health Savings Account and Flexible Spending Account options.
  • Retirement savings plan, life insurance, and sickness and accident benefits.
  • Paid vacation and holidays, tuition assistance, and employee assistance programs.
  • GM vehicle discounts and performance-based bonus potential.

Hiring process

  • Role-related assessments and/or pre-employment screening may be required where applicable.

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