Senior Data Engineer Cloud & AI Platforms - AIRLHV

Senior Data Engineer

• Cloud & AI Platforms
• AIRLHV NavitasPartners
• 4.

0 Rochester, NY Job Details Full-time From $40 an hour 1 day ago Qualifications Databricks Azure Data transformation pipeline development Cloud data warehouses PyTorch Scalable systems Snowflake Data quality management Data Architecture Design (Architecture design skills) AWS Cloud Native Design Scalability Senior level AI Machine learning frameworks BigQuery MLOps Generative AI Full Job Description Senior Data Engineer•

Cloud & AI Platforms Location:

US / Canada (Remote/Hybrid)

Type:

Contract /

Full-Time Overview:

We are hiring a Senior Data Engineer to support large-scale data modernization and AI-driven transformation programs. This role focuses on building robust, scalable cloud data platforms and enabling advanced analytics and AI use cases.

Key Responsibilities:

Architect and develop scalable data pipelines and cloud-native data solutions Collaborate with data scientists, analysts, and business stakeholders Ensure high performance, data quality, and governance across platforms

Required Skills:

Strong experience in data engineering and cloud-based architectures Hands-on expertise with platforms like Databricks, Snowflake, Azure Synapse, or BigQuery Proficiency in AWS, Azure, or GCP environments Nice to

Have:

Experience with ML/AI pipelines (Python, PyTorch, MLOps) Exposure to GenAI frameworks such as LangChain or agent-based systems Familiarity with AI governance and compliance standards For more details reach at .