Torentify · United States
About the Role
We are seeking a Senior Data Engineer with strong experience in data engineering, data architecture, and modern cloud-based data platforms. The position focuses on designing scalable data architectures, building and maintaining data pipelines, and developing reliable data solutions using Python, Snowflake, dbt, AWS, and SQL.
The ideal candidate will have at least eight years of experience in data engineering and data architecture, including experience designing enterprise-scale data warehouses and pipelines. Strong problem-solving and communication skills are important, along with the ability to work effectively with business and technical teams.
Key Responsibilities
• Design and implement scalable data architectures and data models.
• Develop and maintain ETL/ELT pipelines using Python, dbt, and SQL.
• Build and optimize data solutions on Snowflake and AWS.
• Ensure data quality, performance, and reliability across platforms.
• Collaborate with business and technical teams to deliver data-driven solutions.
Required Qualifications
• 8+ years of experience in data engineering and data architecture.
• Strong hands-on experience with Python, Snowflake, dbt, AWS, and SQL.
• Experience designing enterprise-scale data warehouses and data pipelines.
• Excellent problem-solving and communication skills.
Preferred Qualifications
• Healthcare domain experience.
• Familiarity with data governance best practices.
Employment Details
• Job Type: Full-time.
• Work Arrangement: Remote.
• Location: Florham Park, New Jersey.