Analytics Engineer

🏢 Reddit · 📍 Remote - United States · 💼 remote us 💰 $164,200 - $164,200 / yr
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Position Summary & Responsibilities

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

We are looking for a talented and driven individual to be a key part of our Analytics Engineering team within the Data Science organization. We are looking for someone who can work closely with Data Scientists and Engineers across diverse areas of the organization (Consumer, Ads, and Marketing) to curate, develop, and deploy the right data and analytic tooling to drive Reddit’s product forward and provide a data and tooling foundation that will last decades. Your work will empower thousands of your colleagues to improve the user experience and grow our consumer base.

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 a key contributor and collaborator to the success of data quality, performance, reliability, and automation initiatives.
  • Manage a portfolio of data products that deliver high-quality, trustworthy data
  • 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.
  • Develop
🎯 Candidate Preparation Guide For Reddit Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Handling massive unstructured social graphs, community dynamics, content moderation at scale, and high-concurrency traffic spikes.

📋 Preparation Priorities (Key Areas to Clarify):
  • 1. Proposing top-down, heavy-handed solutions that ignore grassroots community moderation dynamics.
  • 2. Underestimating the caching and database consistency challenges of viral, high-velocity discussion threads.
  • 3. Lacking resilience when discussing how to handle toxic content or platform abuse at global scale.
✨ Recommended Role Alignment Hook:

I build scalable social infrastructure that empowers massive online communities to organize, debate, and share freely.

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