Staff Data Engineer, Ads

Location: US remote-friendly

Reddit has a flexible workforce! If you happen to live close to one of our physical office locations, our doors are open so you can come into the office as often as you'd like. Don't live near one of our offices? No worries - You can apply to work remotely in any country in which we have a physical presence.

We are looking for a talented and driven individual to be a founding member of our Analytics Engineering team within the Data Science organization, focused on the Ads domain. We are looking for someone who can work closely with fellow data scientists along with members of ads 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. 

Responsibilities:

• Be the Analytics Engineering lead within Ads DS team and a key contributor to the success of data science data quality, performance, and automation initiatives 
• You will have a keen interest in the collection and quality of underlying data (experiment design and analysis, data deep dive) and in working on ETLs, reporting dashboards, and data aggregations needed for business tracking and/or ML model development 
• Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation, while working 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, and driving widespread adoption of these tools and applications
• 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 analysts
• 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

Required Qualifications:

• MS or PhD in a quantitative discipline: engineering, statistics, operations research, computer science, informatics, applied mathematics, economics, etc. 
• 7+ 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
• 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 

Nice to have:

• Ads domain experience, including metrics, tracking, and ads product understanding, is a big plus
• Past experience collaborating closely with data scientists, machine learning engineers, and product managers

Benefits:

• Comprehensive Healthcare Benefits
• 401k Matching
• Workspace benefits for your home office
• Personal & Professional development funds
• Family Planning Support
• Flexible Vacation (please use them!) & Reddit Global Wellness Days
• 4+ months paid Parental Leave
• Paid Volunteer time off

#LI-Remote