
11 - 50 funcionários
💼 Consultoria
⚖️ Jurídico
💳 Fintech
💰 $10.000.000 Series A em 2021-07
Consulting • Legal • Fintech
Estamos em uma missão para inspirar o mundo a doar, ajudando organizações sem fins lucrativos a aceitar doações de ações e criptomoedas com facilidade.
🕒 Junho 28
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

11 - 50 funcionários
💼 Consultoria
⚖️ Jurídico
💳 Fintech
💰 $10.000.000 Series A em 2021-07
Consulting • Legal • Fintech
Estamos em uma missão para inspirar o mundo a doar, ajudando organizações sem fins lucrativos a aceitar doações de ações e criptomoedas com facilidade.
• Architect, build, and own Overflow's core data infrastructure, including pipelines, warehouses, data models, and orchestration • Design and implement scalable ETL/ELT pipelines across Overflow's platform and business functions • Build and maintain a unified data layer integrating Engineering, Product, Finance, Revenue, Success, and Operations data • Design intuitive data models for self-service analytics and OLAP views in customer-facing applications • Build and maintain dashboards and reporting infrastructure for key business metrics • Partner with the Head of AI on storage schemas and organization strategies for semi-structured and unstructured data • Support advanced MLOps, RAG pipelines, and agent memory through clean data structures • Implement Databricks Unity Catalog for data governance, documentation, access controls, and role-based visibility • Implement data quality monitoring, alerting, and validation frameworks • Collaborate with Engineering, Product, Finance, Payment Ops, Support, and RevOps • Educate teams on data best practices and help them ask better questions of the data • Surface data-driven insights about customer behavior, platform performance, and market opportunity
• 5+ years of Data Engineering experience • Experience acting as the first or lead Data Engineer at a fast-growing tech, fintech, or SaaS company • Proven ability to design efficient OLAP schemas for complex financial transactions and business metrics • Strong proficiency with AWS data services • Experience building reliable Change Data Capture pipelines • Strong familiarity with NoSQL databases • Deep understanding of relational SQL databases • Ability to translate complex business requirements from Finance and Sales into technical data models • Ability to collaborate with MLOps, Business Operations, and Software Engineering teams • Hands-on Databricks experience, including Unity Catalog, Delta Lake, and native Databricks SQL/BI tools preferred • Understanding of fintech, transactional data, ledgering, reconciliation, and SOC 2 aligned environments preferred • Previous experience as a founding data engineer or early data team member at a high-growth startup preferred • Must not require visa sponsorship to work in the United States
• Competitive base salary with equity eligibility • Medical, dental, and vision coverage for employees and dependents • Generous paid time off and company holidays • Paid parental leave • 401(k) retirement plan • Dedicated mental health and therapy stipend to support personal well-being • Team retreats and intentional in-person gatherings throughout the year • Equity eligibility • Performance-based bonuses for eligible roles
Candidatar-se🕒 Junho 27
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🇺🇸 Estados Unidos – Remoto (EUA)
💵 $170.000 - $720.000 / ano
⏰ Tempo Integral
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🇺🇸 Estados Unidos – Remoto (EUA)
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⏰ Tempo Integral
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🔴 Especialista
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🗣️🇺🇸🇬🇧 Inglês obrigatório
🕒 Junho 27
Data Engineer building low-latency data products at Netflix. Collaborate with data scientists and engineers for optimal user experiences.
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $170.000 - $720.000 / ano
⏰ Tempo Integral
🟡 Pleno
🟠 Sênior
🚰 Engenheiro de Dados
🗣️🇺🇸🇬🇧 Inglês obrigatório
🕒 Junho 27
Data Engineer (L5) creating and optimizing data products for Netflix Ads. Collaborating with engineers and stakeholders to deliver high-quality data solutions.
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $380.000 - $610.000 / ano
⏰ Tempo Integral
🟡 Pleno
🟠 Sênior
🚰 Engenheiro de Dados
🗣️🇺🇸🇬🇧 Inglês obrigatório