AI Data Engineer

Job Title: AI Data Engineer

Location: Jersey City, NJ

Employment Type: Full-time

Job Description:

AI Data Engineer

Must Have Technical/Functional Skills

• 5+ years of experience with data virtualization, data mesh, data fabric, and federated querying platform such as Denodo, Starburst or OSS platforms is highly desirable.
• 5+ Years of experience working as a Report Visualization Engineer with Power BI, Tableau, or any similar Reporting Platforms with End-to-End delivery.
• 3+ Year of experience with implementation of Data Modelling, Data Governance and RLS.
• 3+ Years of experience with Enterprise Deployment Strategies and migration of legacy platform reports to modern reporting platforms.
• Solid understanding of data modeling, database design, and ETL principles.
• Familiarity with data governance, data security, and compliance practices in cloud environments.
• Strong problem-solving skills and the ability to optimize and fine-tune data pipelines and Spark jobs for performance.
• Tableau/Power BI / Snowflake / Starburst certifications on Data related specialties are a plus.
• Power Platform experience (Power Apps, Power Automate) will be a plus.

Roles & Responsibilities

• Extract, transform, and load large volumes of structured and unstructured data from various sources into AWS data lakes or modern data platforms like Snowflake.
• Design, implement, and maintain enterprise data models, row-level security (RLS), and governance policies.
• Build and deploy end-to-end data reporting and visualization solutions across Power BI, Tableau, or modern BI platforms.
• Implement federated querying, data fabric, and data virtualization architectures utilizing platforms such as Denodo or Starburst.
• Execute enterprise deployment strategies and migrate legacy reporting platforms to modern data visualization architectures.
• Optimize, monitor, and fine-tune data pipelines and Spark jobs for performance, scalability, and cost efficiency.
• Enforce cloud data security, regulatory compliance, and data governance standards across modern data ecosystems.