Staff Analytics Engineer
August 14
🏢 In-office - San Francisco
Description
• Work with leadership and technical leads to develop and execute an enterprise-wide strategic vision for Core Data Platform. • Optimize processes for operational excellence in project management and system reliability. • Lead cross-team and/or multi-phase projects from design through implementation, fostering collaboration with cross-functional partners. • Lead the technical execution for the team and assist in defining architecture, feature requirements, data model design and data quality/model output test planning. • Ensure security standards are met within data systems and workflows. • Ensure and promote data quality standards for accurate and reliable insights. • Embrace emerging technologies with enthusiasm.
Requirements
• 5+ years experience in analytics & data engineering roles focused on data modeling, large-scale data processing, and tool development for analytics or data science use cases. • Demonstrated communication and leadership skills, with a history of initiating and steering successful projects across multiple stakeholders. • Production-level development experience in Python. • Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance. • Deep experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms. • Experience implementing and owning enterprise BI tooling (Looker, Tableau, or similar visualization/dashboarding tool). • Experience with Airflow, Docker, DBT or similar analytics workflow tools. • Familiarity/exposure to distributed/streaming processing frameworks. • BA/BS degree in Computer Science, Math, Physics, or a related technical field.
Benefits
• Eligible for equity and benefits • Flexible work model to meet employee needs • Work remotely or in-office depending on role and location
Apply Now