23 часа назад
Senior Data Engineer (AI)
125 000 - 168 650$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
Похожие вакансии
7 дней назад
Senior Data Engineer (Azure)
121 116 - 151 395$
7 дней назад
Sr Data Engineer (Cloud)
141 800 - 173 300$
7 дней назад
Data Engineer (Azure/Databricks)
85 000 - 122 200$
7 дней назад
Senior Analytics Platform Engineer (Automotive)
104 100 - 130 150$
8 дней назад
Cleared Hybrid Data Engineer (AI)
103 000 - 171 800$
2 дня назад
Senior Data Engineer (Physical AI)
112 710 - 183 140$