Data Engineer
Posted on 11/30/2023
INACTIVE
Specialized cloud provider offering high-performance GPU compute resources
Company Overview
CoreWeave is a specialized cloud provider that offers a broad range of high-performance GPU compute resources, making it a leader in the industry for compute-intensive tasks such as VFX and rendering, machine learning, and AI. As an NVIDIA Elite Cloud Solutions Provider, the company provides reliable, on-demand access to GPU resources, which has resulted in significant cost savings and performance improvements for its clients. CoreWeave's commitment to delivering world-class results and its ability to quickly and easily scale resources makes it an ideal workplace for those seeking to work at the forefront of cloud computing technology.
AI & Machine Learning
Data & Analytics
Hardware
B2B
Company Stage
N/A
Total Funding
$2.8B
Founded
2017
Headquarters
New York, New York
Growth & Insights
Headcount
6 month growth
↑ 80%1 year growth
↑ 296%2 year growth
↑ 737%Locations
Livingston, NJ, USA • Philadelphia, PA, USA • Brooklyn, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
AWS
Data Analysis
Google Cloud Platform
Hadoop
Java
Airflow
Microsoft Azure
SQL
Python
NoSQL
CategoriesNew
Data & Analytics
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred)
- Proven experience as a Data Engineer or similar role in a fast-paced environment
- Proficiency in programming languages such as Python, Java, or Scala
- Strong SQL skills for data manipulation and querying
- Experience with data pipeline orchestration tools (e.g., Apache Airflow) and big data technologies (e.g., Hadoop, Spark)
- Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and related data services
- Familiarity with database systems (e.g., SQL, NoSQL) and data warehousing concepts
- Excellent problem-solving and communication skills
- Strong attention to detail and a commitment to data quality
- Ability to work independently and collaborate effectively in a team
Responsibilities
- Design, develop and maintain robust and scalable data pipelines to collect, process and store data from various sources, including APIs, databases, and third-party services
- Create and optimize data models to support analytics and reporting, ensuring data accuracy, consistency and performance
- Collaborate with cross-functional teams to integrate data into applications and analytics platform to visualize performance to metrics and opportunities for improvement
- Implement data security best practices to protect sensitive information and comply with data privacy regulations
- Maintain comprehensive documentation of data pipelines, data models, and configurations for knowledge sharing and troubleshooting