Senior Analytics Engineer

📋 Description

• Lead cross-team and/or multi-phase projects from design through implementation, fostering
• Lead the technical execution in building scalable data models and pipelines for a domain defining
• Build data pipelines with rigorous approaches to data quality, validation, testing, and
• Redefine how we build, maintain, and scale data systems by embedding AI into our daily workflows.
• Optimize processes for operational excellence in project management and system reliability.
• Ensure security standards are met within data systems and workflows.

🎯 Requirements

• 4+ years experience in analytics & data engineering roles focused on data modeling, large-scale
• Demonstrated communication and leadership skills, with a history of initiating and steering
• Production-level development experience in Python.
• Strong SQL skills with demonstrable competencies in designing well-architected data models and
• Deep experience and knowledge of data warehousing concepts, ETLs, big data technologies, and
• Experience with Airflow, Docker, DBT or similar analytics workflow tools.

🎁 Benefits

• Competitive pay, equity, and comprehensive benefits designed to support your life inside and
• Access to the latest enterprise AI tools to help you work smarter and get more out of every day.
• Hybrid work: 3 days per week in office (Tuesdays, Thursdays, and a third flex day) with flexibility
• Equal opportunity employer and accommodations available for individuals with disabilities.