AI Data Engineer

Role: Senior Data Analytics Engineer with AI Initiatives (Must)

Location: New York/ Remote

Experience: 5 - 10 years

Duration: Full time

Job Description:

We are looking for a Lead Engineer to build and maintain scalable data pipelines and data platforms that support analytics, business Intelligence, reporting, and AI initiatives. In this role, you will work closely with data architects, analysts, and business stakeholders to develop reliable data solutions and ensure high-quality data is available across the organization.

This is a hands-on engineering role focused on designing efficient data pipelines, improving data infrastructure, and enabling teams to leverage data effectively.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows to ingest and transform data from multiple sources
• Develop and optimize batch and near real-time data processing pipelines for analytics and reporting
• Build and maintain data warehouse and data lake structures to support business intelligence and analytics use cases
• Implement and maintain data models that support efficient querying and reporting
• Improve performance and scalability of data systems through query optimization, indexing, and partitioning strategies
• Implement data quality checks, monitoring, and logging to ensure reliability of data pipelines
• Exposure to AI initiatives and experience building data pipelines supporting AI workflows
• Work with data architects and engineering teams to implement scalable data platform designs
• Collaborate with analysts, BI developers, and business stakeholders to deliver data solutions that support business needs
• Maintain documentation for data pipelines, data models, and data workflows

Requirements

• 5 - 10 years of experience in Data Engineering and GenAI and Data Scientist and AI Engineer
• Strong experience with SQL and Python for data processing and transformation
• Experience building and maintaining ETL/ELT pipelines
• Solid understanding of data warehousing concepts and dimensional data modeling
• Experience working with cloud data platforms or modern data infrastructure
• Familiarity with workflow orchestration tools such as Airflow or similar
• Understanding of API-based data ingestion and data integration patterns
• Strong problem-solving and collaboration skills

Education

Bachelor's or master's degree in computer science , Engineering, Information Systems, or a related field , or equivalent practical experience.