AI Data Engineer

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.

Requirements

• 5+ years of experience with data virtualization, data mesh, data fabric, and federated querying platforms (Denodo, Starburst, or OSS).
• 5+ years of experience as a Report Visualization Engineer with Power BI, Tableau, or similar reporting platforms (end-to-end delivery).
• 3+ years of experience implementing data modeling, data governance, and row-level security (RLS).
• 3+ years of experience with enterprise deployment strategies and migration of legacy reports to modern reporting platforms.

Skills

• 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 (a plus).
• Power Platform experience (Power Apps, Power Automate) (a plus).

Pay

Salary Range: $100,000‑$120,000 per year.