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Full-Time

Data Engineer – Senior Manager

Posted on 6/21/2024

CoreWeave

CoreWeave

201-500 employees

Specialized cloud provider for GPU compute resources

AI & Machine Learning
Data & Analytics
Hardware

Compensation Overview

$170k - $210kAnnually

Expert

San Francisco, CA, USA + 3 more

Category
Data Engineering
Data & Analytics
Required Skills
Talend
Microsoft Azure
Redshift
Python
Airflow
BigQuery
Apache Spark
SQL
Postgres
AWS
Hadoop
Snowflake
Google Cloud Platform
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
  • 10+ years of experience in data engineering, with at least 3 years at a manager level.
  • Proven experience with data architecture, data modeling, and database design.
  • Strong proficiency in SQL, Python, and other programming languages relevant to data engineering.
  • Extensive experience with ETL tools (e.g., Apache Airflow, Talend, Informatica).
  • In-depth knowledge of data warehousing solutions (e.g., Postgres, Snowflake, Redshift, BigQuery).
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services.
  • Excellent problem-solving skills and attention to detail.
  • Strong project management skills and the ability to manage multiple priorities in the face of ambiguity
  • Excellent communication and interpersonal skills.
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
Responsibilities
  • Design and implement robust, scalable, and efficient data pipelines and workflows.
  • Collaborate with Data Scientists, Business Intelligence Engineers, Data Engineers, and other stakeholders to understand data needs and deliver high-quality data solutions.
  • Ensure data quality, integrity, and security across all data systems.
  • Develop and maintain documentation related to data architecture, processes, and standards.
  • Stay current with industry trends and best practices, and integrate new technologies and methodologies as appropriate.
  • Oversee the deployment and management of data warehousing solutions.
  • Implement and manage ETL processes, ensuring optimal performance and reliability.
  • Drive continuous improvement in data engineering practices, tools, and processes.
  • Manage project timelines and resources effectively.
  • Communicate effectively with technical and non-technical stakeholders, translating complex technical concepts into business terms.
  • People management.

CoreWeave is a specialized cloud provider focusing on GPU compute resources ideal for VFX, rendering, machine learning, and AI, promising up to 35x faster performance and significant cost savings. Working here offers a unique opportunity to contribute to cutting-edge technologies in a rapidly growing industry sector known for high-performance networking and efficient infrastructure management. The culture prioritizes agility and technical superiority, making it an ideal place for innovative minds eager to make a significant impact in high-demand compute scenarios.

Company Stage

Series B

Total Funding

$12B

Headquarters

New York, New York

Founded

2017

Growth & Insights
Headcount

6 month growth

58%

1 year growth

195%

2 year growth

817%