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Key skills for this role
As a Senior Data Platform Engineer, you will:
• Partner with other Data Platform Engineers and Data Scientists to expand and maintain our data platform.
• Partner with core engineering to improve our product telemetry.
• Eventually, join our on-call rotation for the data platform.
• Strategic goals for the team over the next 12 months:
• Migrate data build tools to improve efficiency and performance
• Build a robust internal data catalog and semantic layer to support self-service analytics.
• Build an internal AI agent for addressing common data workflows.
• Lay the foundations for internal AI applications built on top of our operational data.
The Data group at Weights & Biases works across the full range of data-related topics:
We help business partners set goals, make decisions, and understand the levers to achieve their goals.
We build reporting to keep the business attuned and aligned.
We build datasets and pipelines to support self-service analysis.
We train models to understand our customer growth, churn risk, and detect spam and abuse.
We’re exploring novel benchmarks and recs for model training.
We build and maintain a massive data platform to power it all.
About the role:
As a Senior Data Platform Engineer, you will:
Partner with other Data Platform Engineers and Data Scientists to expand and maintain our data platform.
Partner with core engineering to improve our product telemetry.
Eventually, join our on-call rotation for the data platform.
Strategic goals for the team over the next 12 months:
Migrate data build tools to improve efficiency and performance
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More from this employer
Bellevue, USA
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San Francisco, USA
Bellevue, USA
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Livingston, USA
Build a robust internal data catalog and semantic layer to support self-service analytics.
Build an internal AI agent for addressing common data workflows.
Lay the foundations for internal AI applications built on top of our operational data.
Who You Are:
Deep knowledge (practical and theoretical) of data engineering and the accompanying workflows.
History of writing easy-to-follow code and effective documentation for your projects.
Expert knowledge of data orchestration/data pipeline tools (dbt, dagster, airflow, etc).
Experience working with large and high-demand data warehouses/platforms, multi-PB scale, and extreme business demand for the systems.
Expert knowledge and understanding of web apps and best practices for logging and event instrumentation.
Ability to clearly communicate your ideas to folks across a range of backgrounds and levels of technical knowledge.
Preferred:
If you work well in a self-directed environment and proactively find ways to improve processes and collaborate with team members or engaged users, your initiative will really shine in this role.
You'll love this role if you enjoy connecting with real users daily, helping them solve issues, and understanding good patterns for using our tools. You'll answer questions and requests with a kind, thoughtful tone that makes users feel appreciated and connected to our team.
Theoretical or practical knowledge of machine learning workflows and terminology.
We work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
Be Curious at Your Core
Act Like an Owner
Empower Employees
Deliver Best-in-Class Client Experiences
Achieve More Together
We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!
The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
California Consumer Privacy Act
CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.
As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com .
This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Verified company details for this employer are not available yet.
USD 165000-242000 yearly / year
Full-time
Senior
Hybrid
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