Senior Data Engineer, CoreWeave
Analytics
$175-205k
More information about location
Specialized cloud provider
Open for applications
Specialized cloud provider
201-500 employees
Open for applications
$175-205k
More information about location
201-500 employees
Company mission
CoreWeave's mission is to deliver a massive scale of GPU compute resources on top of the industry’s fastest and most flexible infrastructure.
Role
Who you are
- You thrive in a fast-paced, complex, work environment and you love tackling hard problems
- Hands-on experience applying Kimball modeling principles to large datasets
- Expertise in working with analytical table/file formats, including Iceberg, Parquet, Avro, and ORC
- Proven experience optimizing MPP databases (StarRocks, Snowflake, BigQuery, Redshift)
- 5+ years of programming experience in Python or Scala
- Advanced SQL skills, with a strong ability to write, optimize, and debug complex queries
- Hands-on experience with Airflow for batch orchestration distributed computing frameworks like Spark or Flink
What the job involves
- We’re seeking a skilled Senior Data Engineer to lead the development of foundational data models that empower our Business Intelligence Engineers, analysts, and data scientists to efficiently work with and gain insights from our data
- This role will own the creation and maintenance of star and snowflake schemas within our lakehouse environment and set the standards for dimensional modeling best practices
- The engineer will also create and optimize key datasets and metrics essential to tracking business health
- Develop and maintain data models, including star and snowflake schemas, to support analytical needs across the organization
- Establish and enforce best practices for dimensional modeling in our Lakehouse
- Engineer and optimize data storage using analytical table/file formats (e.g., Iceberg, Parquet, Avro, ORC)
- Partner with BI, analytics, and data science teams to design datasets that accurately reflect business metrics
- Tune and optimize data in MPP databases such as StarRocks, Snowflake, BigQuery, or Redshift
- Collaborate on data workflows using Airflow, building and managing pipelines that power our analytical infrastructure
- Ensure efficient processing of large datasets through distributed computing frameworks like Spark or Flink
Application process
- New employees not based out of an office will be invited to attend onboarding training at one of our hubs within their first month of employment
Our take
Many cloud service providers can suffer from slow prediction speeds when they are used for data modeling. CoreWeave solves this problem with its specialized cloud service provider.
CoreWeave reduces prediction times and makes service requests faster and more efficient. This, in turn, cuts cloud costs considerably. This has proven to be a strong draw for many companies, with CoreWeave signing a lucrative partnership with GPU heavyweight NVIDIA as well as partnering with BitOoda, which has allowed it to expand its operations to the financial market.
However, in 2023 it closed three very significant rounds of funding (Series B and debt and secondary extensions), which is being invested into expanding its US-based data centers, opening two new ones in the coming year. The question remains whether, despite 2023's big investments in the sector, CoreWeave can maintain this momentum and whether generative AI's stock will continue to rise.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
May 2024
$1.1bn
SERIES C
May 2023
$200m
SERIES B
Total funding: $1.7bn
Company benefits
- Medical, dental, and vision coverage
- Life and disability insurance
- Flexible Spending Account
- 401k with employer match
- Flexible PTO
- Catered lunch
- Kinside Childcare Concierge Service
- Gym reimbursement
Company values
- Be Curious at Your Core
- Empower Employees
- Act Like An Owner
- Deliver Best-in-Class Client Experiences
- Achieve More Together
Company HQ
Civic Center, New York, NY
Articles
Leadership
Michael Intrator
(CEO, not founder)Was Principal Portfolio Manager at Natsource Asset Managment for over 15 years. Served as CEO of The Atlantic Crypto Corporation and Hudson Ridge Asset Management.
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