{"id":4001161,"url":"https://alion.io/job/coreweave-senior-data-platform-engineer-weights-biases","title":"Senior Data Platform Engineer - Weights & Biases","company":{"id":7348,"name":"CoreWeave","domain":"coreweave.com","url":"https://alion.io/company/coreweave","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":73,"open_postings":65,"ghost_share":0,"stale_share":0.862,"repost_share":0,"time_to_fill_p50_days":61,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":165000,"max":242000,"currency":"USD","period":"year","gross":null,"usd_annual":242000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Canva","optional":false},{"name":"CI/CD","optional":false},{"name":"CoreWeave","optional":false},{"name":"Dagster","optional":false},{"name":"dbt","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"Outlook","optional":true}],"status":"live","first_seen_at":"2025-12-12T21:34:20Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-10T03:32:38Z","board_verified":true,"closed_at":null,"days_open":332,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":332},"description":"CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.\nWeights & Biases at CoreWeave\nCoreWeave acquired Weights & Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. CoreWeave operates a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME100 most influential companies of 2024. By bringing together CoreWeave’s industry-leading cloud infrastructure with the best-in-class tools AI practitioners know and love from Weights & Biases, we’re setting a new standard for how AI is built, trained, and scaled.\nThe integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters, agent building, and inference at scale, we’re combining forces to serve the full AI lifecycle - all in one seamless platform.\nWeights & Biases has long been trusted by over 1,500 organizations - including AstraZeneca, Canva, Cohere, OpenAI, Meta, Snowflake, Square, Toyota, and Wayve - to build better models, AI agents and applications. Now, as part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises.\nAs we unite under one vision, we’re looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you’re passionate about solving complex problems at the intersection of software, hardware, and AI, there’s never been a more exciting time to join our team.\nWhat You’ll Do\nAs a Senior Data Platform Engineer, you will apply advanced knowledge of software engineering, data architecture, distributed systems, and database technologies to design and operate our enterprise data platform. Your responsibilities will include:\nDesign and implement scalable data systems and pipelines - 30%: Architect, develop, test, and maintain distributed batch and streaming pipelines that ingest, transform, validate, and deliver structured and semi-structured data across production systems.\nDevelop data transformation and orchestration frameworks - 20%: Build and optimize workflows using technologies such as dbt, Dagster, Airflow, or comparable tools. Establish testing, deployment, dependency-management, data-quality, and observability standards for these workflows.\nImprove data warehouse performance and reliability - 15%: Design data models, schemas, partitioning strategies, and storage patterns for large-scale analytical workloads. Diagnose and resolve performance, scalability, availability, and cost-efficiency issues within multi-petabyte data environments.\nBuild product telemetry and data instrumentation - 15%: Partner with software engineering teams to define event schemas and implement reliable logging, telemetry, and instrumentation for web applications, backend services, and distributed systems.\nDevelop data catalog and semantic-layer capabilities - 10%: Design metadata, lineage, governance, and semantic-modeling systems that enable consistent business definitions and secure self-service analytics.\nSupport data-powered AI applications - 5%: Establish data interfaces and platform foundations for internal AI applications, including systems that support automated data discovery, workflow assistance, customer-growth analysis, churn-risk modeling, and abuse detection.\nOperate and support the platform - 5%: Monitor production systems, troubleshoot incidents, document operational procedures, and participate in an on-call rotation after completing the required onboarding and training.\nThis position requires independent technical judgment to evaluate architectural alternatives, identify system constraints, and select appropriate data structures, algorithms, database designs, and distributed-processing patterns.\nMinimum Qualifications\nBachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, Data Science, Information Systems, or a closely related technical or quantitative field involving substantial coursework in Engineering.\nAt least five years of progressive professional experience in software engineering, data engineering, data infrastructure, or a closely related occupation.\nProfessional experience designing and implementing production data pipelines and distributed data-processing systems.\nProfessional experience with data transformation or workflow-orchestration technologies such as dbt, Dagster, Airflow, or comparable platforms.\nProfessional experience designing data models, schemas, and storage strategies for large-scale analytical databases or cloud data warehouses.\nProfessional experience programming in Python, Go, Java, Scala, or another general-purpose programming language used to build production data systems.\nProfessional experience with SQL, database performance optimization, data-quality testing, and production monitoring.\nKnowledge of software-engineering practices, including version control, automated testing, code review, continuous integration, deployment automation, and technical documentation.\nKnowledge of web-application telemetry, event instrumentation, logging systems, APIs, and distributed-service architecture.\nAbility to communicate technical designs, risks, and tradeoffs to engineering, data science, analytics, and business stakeholders.\nPreferred Qualifications\nExperience operating multi-petabyte data platforms or other high-volume, business-critical data systems.\nExperience with cloud infrastructure and data services on AWS, Google Cloud Platform, or Microsoft Azure.\nExperience with data catalogs, metadata management, lineage systems, governance frameworks, or semantic layers.\nKnowledge of machine-learning workflows, model-development terminology, or the data requirements of production AI applications.\nExperience supporting internal platform users, responding to technical questions, and converting user feedback into platform improvements.\nDemonstrated ability to work effectively in a self-directed environment, identify opportunities for improvement, and collaborate across engineering and business teams.\nWhy Us?\nWe 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:\nBe Curious at Your Core\nAct Like an Owner\nEmpower Employees\nDeliver Best-in-Class Client Experiences\n Achieve More Together\nWe 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!\nThe 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). \nWhat We Offer\nThe range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.\nIn addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include:\nMedical, dental, and vision insurance - 100% paid for by CoreWeave\nCompany-paid Life Insurance \nVoluntary supplemental life insurance \nShort and long-term disability insurance \nFlexible Spending Account\nHealth Savings Account\nTuition Reimbursement \nAbility to Participate in Employee Stock Purchase Program (ESPP)\nMental Wellness Benefits through Spring Health \nFamily-Forming support provided by Carrot\nPaid Parental Leave \nFlexible, full-service childcare support with Kinside\n401(k) with a generous employer match\nFlexible PTO\nCatered lunch each day in our office and data center locations\nA casual work environment\nA work culture focused on innovative disruption\nCalifornia Applicants\nCalifornia Consumer Privacy Act \nEqual Opportunity & Accommodations\nCoreWeave 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.\nAs 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: .\nExport Control Compliance\nThis 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. 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