Data Engineer

Responsibilities:

• Build and modify high-complexity ETL and data pipelines to efficiently extract, transform, and process data.
• Develop and maintain monitoring and alerting systems that proactively identify data and workflow issues.
• Design data warehousing solutions and optimize queries for large-scale data processing.

Qualifications:

• 5-7+ years of data engineering experience with expert-level SQL, Python, and ETL pipeline skills.
• Demonstrated experience leading data engineering efforts on large, cross-functional projects.
• Strong communication skills and ability to work independently while collaborating across teams.

Benefits:

• Comprehensive medical benefits, 401k plan, paid holidays, and networking opportunities.
• Career learning and development programs with a focus on growth.
• Dynamic culture of respect, empowerment, and recognition.