Senior Analytics Engineer, Reddit

• 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

Desirable

• We are looking for a talented and driven individual to be a key part of our Analytics Engineering team within the Data Science organization, focused on the Safety domain
• We are looking for someone who can work closely with Data Scientists and members of Safety cross-functional teams to curate, develop, and deploy the right data and analytic tooling to drive Reddit’s business forward and provide a data and tooling foundation that will last decades
• Successful candidates have a strong track record of understanding and deeply caring about the purpose of data to support business goals, and can act as an effective conduit between Data Producers and Data Consumers
• This role sits at the intersection of Data Science and Data Engineering, and the ideal candidate has skills, experience, and passion in both areas
• 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