Lead Data Warehouse Engineer - AI-Ready Health Data

Mount Sinai; United States; On-site; USD 120,000 - 150,000; Full time

Job summary

Mount Sinai is looking for a Lead Data Warehouse Engineer to enhance the AIR.MS data platform by integrating multi-modal clinical data. The successful candidate will lead technical efforts, design databases and pipelines while mentoring junior engineers. A minimum of 12-15 years of experience in data warehousing and strong proficiency in SQL is required. The role is based in the United States and offers a collaborative environment focusing on scientific research and data integration.

Qualifications

• 8+ years of experience in designing and maintaining relational databases and data pipelines.
• Expert knowledge of data warehousing principles and practices.
• Strong communication skills for collaboration with diverse teams.

Responsibilities

• Lead integration of multi-modal clinical data into the AIR.MS data warehouse.
• Design databases and pipelines to balance performance and cost.
• Mentor junior engineers in data engineering skills.

Skills

Data warehousing

SQL

Data engineering technologies

Critical thinking

Problem-solving

Communication

Education

12-15 years of related experience

Tools

SAP HANA

MySQL

JIRA

Confluence

Job description

Mount Sinai is looking for a Lead Data Warehouse Engineer to enhance the AIR.MS data platform by integrating multi-modal clinical data. The successful candidate will lead technical efforts, design databases and pipelines while mentoring junior engineers. A minimum of 12-15 years of experience in data warehousing and strong proficiency in SQL is required. The role is based in the United States and offers a collaborative environment focusing on scientific research and data integration.