Data Warehouse Engineer
at Reddit New York Our mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions.
With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet.
From pets to parenting, skincare to stocks, theres a community for everybody on Reddit. For more information, visit .
The front page of the internet, Reddit brings over 430 million people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities.
Come for the cats, stay for the empathy.
As a data warehouse engineer, you will build scalable tools on top of Reddit's petabyte-scale warehouse to support all data customers of Reddit.
Your work will enable data scientists, machine learning engineers, and product teams to create and access data at a massive scale.
If you have a passion for building and maintaining high quality data tools, and want to improve how Reddit makes strategic decisions at the company level, then this is the team for you!
What Youll Learn :
- You will be exposed to the full lifecycle of data at Reddit, and as a result will gain expertise on how to scale and improve the data culture across the entire company
- You will work directly with a diverse team set including data science, experimentation, infrastructure, machine learning, and senior leadership
- You will work with one of the largest and richest datasets in the world, and get exposure to leading data technologies (including the ones Reddit builds from the ground up)
What Youll Do :
- Build and scale data orchestration services that support complex analysis across Reddit
- Consistently evolve data model & data schema based on business and engineering requirements
- Own data quality for crucial systems at Reddit, and serve as a primary resource for data expertise
- Define and manage SLA for datasets that support production services
Who You Might Be :
- 3+ years experience in the data warehouse space
- 3+ years experience working with large scale ETL systems (implementation, strategy, and maintenance)
- 3+ years of experience building clean, maintainable, and well-tested code
- Fluent in Python and SQL
- Excellent communication skills to collaborate with stakeholders at all levels of the company
- Bonus points for background in data science, analytics, or data QA
- Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.
If you need assistance or an accommodation due to a disability, please contact us at* *[email protected]* *.*
Director of Cybersecurity Data Analytics
The successful candidate should possess the following:-Bachelor’s degrees in computer science or information systems and have specializations in mathematics, number theory, applied cryptography, or statistics or equivalent experience-At least 8 years of experience analyzing large, high velocity, het...
Senior Process Engineer - C13 - NEW YORK
New York New York United States. Analyze and interpret market, competitor, operational and financial data to identify trends and derive insights, model what-if scenarios, and develop recommendations to inform decision-making. Business Process Re-Engineering. ...
Data & Reporting Specialist
Aggregate and clean vendor management data from citywide databases such as HHS Accelerator, agency-wide databases, or relevant program sources. Implement new agency systems including its planning design, development, testing, and automation for on-going program data collection with support from the ...
Asset & Wealth Management - Sr. Software Engineer - New York - Vice President
Join our engineering teams that build scalable software and systems, architect low latency infrastructure solutions, and leverage machine learning and generativeAI alongside financial engineering to continuously turn data into action. Goldman Sachs Engineers are innovators and problem-solvers, build...
Analyst, Citywide Data, RPSG - 23314
The primary role of the Analyst for Citywide Data will be to set up the systems for data sharing with relevant state and city institutions, and then conduct analyses to make meaning of the data, establish a baseline, and identify trends to inform future policy directions. You will work closely with ...
Database Engineer - New York
You will work closely with softwareengineers data analysts and DevOps teams to ensure our databasesare efficient secure and capable of handling large volumes of data. We areseeking a talented Database Engineer to design build and maintainthe backbone of our data infrastructure ensuring it is reliabl...
Vice President, Data Scientist
Conducts metric analysis, leads data modeling and uses technology applications, applying techniques such as SQL querying and automated data workflow development to extract, blend and standardize numerous data sources for populating models. BNY is the corporate brand of The Bank of New York. Follow u...
Corporate Vice President - : Senior Windows Service Architect/Engineer
As part of Technology, you'll have the opportunity to contribute to groundbreaking initiatives that shape New York Life's digital landscape. World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by t...
Assistant Civil Engineer
Engineer-In-Training/Fundamentals of EngineeringMinimum 3 years’ experience working on civil engineering design and/or construction management projects. The NYC Department of Environmental Protection (DEP) enriches the environment and protects public health for all New Yorkers by providing 1. Proper...
Campus Undergraduate - 2025 Technology Software Engineer III Full-Time New York, NY
As a Software Engineer, you will work on building global scale software with a host of tools and frameworks! You may work in areas ranging from machine learning, using big data, native mobile applications, backend services, full stack web applications, or UX/UI focused development! Youll work across...