Senior Analytics Engineer

Summary

Join Reddit's Analytics Engineering team as a key contributor to Safety domain initiatives. You will be the data steward for Safety, architecting data collection and creating ETLs, dashboards, and aggregations for business tracking and ML model development. Develop and maintain robust data pipelines, and create user-friendly tools for internal use, driving widespread adoption. Lead transformational efforts to build a data-driven culture, providing technical guidance and mentorship. Serve as a thought partner for data scientists and leadership, shaping the data foundations roadmap. Reddit offers a flexible workforce with remote-friendly options.

Requirements

• Experience working in a Trust and Safety domain
• Undergraduate degree in a quantitative discipline: engineering, statistics, operations research, computer science, informatics, applied mathematics, economics, etc
• 4+ years of experience working with large-scale ETL systems (implementation, strategy, and maintenance), building clean, maintainable, code and systems (Python preferred) in a production environment
• Strong programming proficiency in Python, SQL, Spark, Scala, etc
• Experience with data modeling, ETL and ELT concepts, and patterns for efficient data governance
• Experience with manipulating massive-scale structured and unstructured data
• Experience with data workflows (such as Airflow), data modeling, front-end or back-end engineering
• Experience in data visualization and dashboard design, including tools such as Looker, Tableau, R visualization packages, streamlit, D3, and other libraries, etc
• Deep understanding of technical and functional designs for relational and MPP Databases
• Proven track record of cross-functional execution and collaboration
• Excellent communication skills to collaborate with cross-functional stakeholders at all levels of the company, of differing levels of technical acumen
• Experience in mentoring junior data scientists and analytics engineers
• Self-starter, ability to work independently and autonomously, as well as part of a team

Responsibilities

• Be the Analytics Engineering lead within the Safety organization and a key contributor to the success of Data Science data quality, performance, and automation initiatives
• Be the data steward for Safety: architect and improve the collection of underlying data while also creating ETLs, reporting dashboards, data aggregations and other deliverables needed for business tracking, ML model development, and other data-driven capabilities
• Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation. Work closely with engineering to ensure the quality and reliability of these data pipelines
• Create user-friendly tools and applications for internal use across Data Science and cross-functional teams, streamlining data analysis and reporting processes. Drive widespread adoption of these tools and applications with a relentless focus on automation, consistency, and reliability
• Lead transformational efforts to build a data-driven culture at Reddit by enabling data self-service
• Provide technical guidance, mentorship, coaching and/or training to data scientists and other technical partners
• Serve as a thought partner for data scientists, engineering managers, and leadership on data foundations, communicating and shaping the data foundations roadmap and strategy for Reddit

Preferred Qualifications

• M.S. or Ph.D. in a quantitative discipline
• Past experience collaborating closely with data scientists, machine learning engineers, and product managers

Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k Match
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Reddit Global Days off
• Generous paid Parental Leave
• Paid Volunteer time off