Data Engineer, Senior Manager
Roseland, NJ / Brooklyn, NY / Philadelphia, PA / San Francisco, CA (Bay Area) / Remote
CoreWeave is a specialized cloud provider, delivering a massive scale of GPU compute resources on top of the industry’s fastest and most flexible infrastructure. CoreWeave builds cloud solutions for compute intensive use cases — VFX and rendering, machine learning and AI, batch processing, and Pixel Streaming — that are up to 35 times faster and 80% less expensive than the large, generalized public clouds. Learn more at www.coreweave.com.
About the Role:
The Data Engineering Manager will oversee the design, development, and maintenance of our data lake, as well as manage our BIE team. This role requires a leader with a strong technical background, a proven track record in data engineering, and people management experience. The ideal candidate will have over 10 years of experience in the field, with a deep understanding of data architectures, ETL processes, documentation processes, data warehousing, and people management.
Key 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.
Qualifications:
- 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 …
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Hybrid workplace Quarterly travel requirements Subsequent quarterly travel
Benefits/Perks Tasks- Collaborate with stakeholders
- Communicate with stakeholders
- Design and implement data pipelines
- Develop and maintain documentation
- Documentation
- Drive continuous improvement
- Maintain documentation
- People Management
- Stay current with industry trends
- Support
AI Apache Airflow AWS Azure Batch processing Business Intelligence Cloud Computing Cloud platforms Cloud solutions Communication Compliance Data Warehousing Engineering ETL GCP GPU compute GPU compute resources Hadoop Machine Learning Management Organization Pixel Streaming Problem-solving Project Management Python Rendering Spark SQL VFX
EducationBusiness Computer Science Engineering Information Technology
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9