28 days ago
Remote, United StatesMid Level
H1B sponsor
Base Salary
$164k - $230k/yr
Responsibilities
- Manage a portfolio of high-quality, trustworthy data products.
- Develop and maintain data pipelines and workflows for ingestion, processing, and transformation.
- Contribute to data quality, performance, reliability, and automation initiatives.
- Implement data quality checks, QA processes, and monitoring routines.
- Create and manage integrations across internal and external systems.
- Build internal tools and applications that streamline data analysis and reporting.
- Drive adoption of data tools with a focus on automation, consistency, and reliability.
- Advise Data Scientists, Engineering managers, and leadership on data foundations and strategy.
Requirements
- Bachelor’s degree in computer science or a quantitative educational field.
- At least 3 years of experience with large-scale ETL systems in production, including implementation, strategy, and maintenance.
- Strong programming proficiency in Python, SQL, Spark, Scala, or similar technologies.
- Experience with data modeling, ETL and ELT concepts, data governance, and massive-scale structured and unstructured data.
- Experience with data workflows such as Airflow and with front-end or back-end engineering.
- Experience in data analysis and dashboard design.
- Deep understanding of technical and functional designs for relational and MPP databases.
- Proven cross-functional execution and collaboration skills.
- Agentic AI-assisted development experience.
- Strong communication skills and the ability to work independently and collaboratively.
Benefits
- Comprehensive healthcare benefits and income replacement programs.
- 401(k) with employer match.
- Global benefits supporting workspace, professional development, caregiving, and lifestyle needs.
- Family planning support.
- Gender-affirming care.
- Mental health and coaching benefits.
- Flexible vacation and paid volunteer time off.
- Generous paid parental leave.
- Remote role, indicated by the #LI-Remote designation.
Tech Stack
Categories
Data Engineering
About Reddit
Reddit builds a social news and discussion platform organized into user-created forums ( “subreddits”) for consumers, creators, and communities. It monetizes primarily through advertising tools for brands and self-serve advertisers, plus a Premium subscription; developers can access data via its API. Founded in 2005 and headquartered in San Francisco, Reddit became a public company on the NYSE in 2024 and hosts over 100,000 active communities.