18 часов назад
Senior Trainer – Data Engineering (Advanced + AI Integration)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Trainer – Data Engineering (Advanced + AI Integration) (Databricks/Spark/AI): Delivering advanced, hands-on training on end-to-end data engineering workflows and AI-ready data systems with an accent on distributed processing, streaming, lakehouse architectures, and data preparation for ML. Focus on guiding learners through integrated data pipeline and model development projects, evaluating code, and mentoring them on modern cloud-native infrastructure.
Location: Remote_Chicago_IL; candidates are expected to be based near one of ’s central offices listed for the role.
Company
trains and deploys technology talent for Fortune 500 companies, government organizations, and systems integrators across the United States.
What you will do
- Deliver advanced, interactive, hands-on training in data engineering and AI integration.
- Teach distributed processing with Apache Spark and Databricks, streaming with Kafka and Kinesis, and orchestration with Airflow.
- Explain lakehouse architectures using Delta Lake, Snowflake, and cloud-native data platforms.
- Prepare learners to build AI-ready datasets, feature engineering workflows, and versioned data pipelines.
- Guide projects combining data pipelines with AI/ML model development and deployment.
- Conduct performance evaluations, code reviews, and one-on-one mentoring while collaborating with curriculum designers.
Requirements
- 5+ years of professional experience in data engineering, big data, or AI/ML infrastructure development.
- Strong Python and SQL skills, including pandas and NumPy.
- Hands-on experience with Databricks, Apache Spark, PySpark, data lakes, Delta Lake, and lakehouse architecture.
- Experience with Kafka or Kinesis and Airflow or another orchestration tool.
- Familiarity with MLflow, TensorFlow, or PyTorch and at least one major cloud platform: AWS, Azure, or GCP.
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical discipline, plus strong communication, presentation, and mentoring skills.
Nice to have
- Corporate trainer, instructor, or mentor experience in a data or AI-focused program.
- Databricks, AWS, or Google Professional Data Engineer/ML Engineer certifications.
- Experience with model lifecycle management, feature stores, MLOps, vector databases, or other emerging AI tools.
Culture & Benefits
- Training may be delivered both virtually and on site.
- Work in a rapidly growing technology talent development environment.
- Contribute to programs supporting diverse educational and professional backgrounds.
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