Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 5
Scala @ 6
SQL @ 6
A/B Testing @ 3
Spark @ 6
Statistics @ 3
ETL @ 5
Airflow @ 3
Data Science @ 3
Leadership @ 3
Communication @ 3
Data Engineering @ 3
Mathematics @ 3
ELT @ 3
Reporting @ 3
AI @ 3
Data Visualization @ 3
Data Modeling @ 3
Agentic AI @ 3
Data Pipelines @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Reddit is looking for an Analytics Engineer on the Consumer Data Science team to work at the intersection of Data Science and Data Engineering. You will collaborate with Data Scientists and cross-functional Consumer teams (Product, Engineering, Design) to curate, develop, and deploy data and analytic tooling that drives product decisions and scales across the organization. The role focuses on building reliable data foundations, automation, and enabling data self-service.
Responsibilities
- Lead analytics engineering efforts within the Consumer organization to improve data quality, performance, reliability, and automation.
- Act as data steward for Consumer products: architect and improve collection of underlying data and create ETLs, reporting dashboards, aggregations, and other deliverables for feature tracking, retention analysis, A/B testing, and product analytics.
- Develop and maintain robust data pipelines and workflows for ingestion, processing, and transformation; collaborate with engineering to ensure pipeline quality and reliability.
- Create user-friendly internal tools and applications for Data Science and cross-functional teams, prioritizing automation, consistency, and reliability to drive adoption and enable self-service.
- Provide technical guidance, mentorship, coaching, and/or training to data scientists and other technical partners.
- Partner with data scientists, engineering managers, and leadership to shape the data foundations roadmap and strategy.
Requirements
- Degree in a quantitative discipline (statistics, operations research, computer science, applied mathematics, economics, physics, or similar).
- 4+ years of experience working with large-scale ETL systems (implementation, strategy, maintenance) and building clean, maintainable code and systems in production (Python preferred).
- Strong programming proficiency in Python, SQL, Spark, Scala, etc.
- Experience with data modeling, ETL/ELT concepts and patterns, and manipulating massive-scale structured and unstructured data.
- Experience with data workflows (e.g., Airflow), front-end or back-end engineering, data visualization, and dashboard design.
- Deep understanding of technical and functional designs for relational and MPP databases.
- Proven cross-functional execution and collaboration skills; excellent communication across varying technical levels.
- Self-starter able to work independently and as part of a team.
- Consumer product domain experience is a strong plus.
- Experience with agentic AI-assisted development is desired.
Benefits
- Comprehensive healthcare benefits and income replacement programs
- 401(k) with employer match
- Global benefit programs (workspace, professional development, caregiving support)
- Family planning support and gender-affirming care
- Mental health and coaching benefits
- Flexible vacation and paid volunteer time off
- Generous paid parental leave
Additional Information
- Location: Remote (United States). Reddit supports remote work in countries where it has a physical presence and also provides office access if you live near a physical office.
- Pay transparency: base salary range for US-based candidates is $164,200 - $229,900 USD. Role may span more than one career level. The position is eligible for equity (RSUs) and, depending on position offered, may be eligible for commission. Interview recordings/transcriptions by AI may be used in select roles (with opt-out).