
501 - 1000 funcionários
Fundada em 1967
🤝 B2B
🛍️ Comércio Eletrônico
🤖 Inteligência Artificial
B2B • eCommerce • Artificial Intelligence
OneMagnify é uma empresa focada em criar experiências ótimas para o cliente através da transformação digital. Eles se especializam em uma variedade de serviços, incluindo pesquisa de clientes, experiência de marca, design UI/UX, desenvolvimento de websites, e-commerce e mídia programática alimentada por IA. Ao aproveitar estratégias baseadas em dados e tecnologia, a OneMagnify melhora o engajamento do cliente e desenvolve experiências personalizadas em escala para seus clientes.
🕒 Abril 22
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

501 - 1000 funcionários
Fundada em 1967
🤝 B2B
🛍️ Comércio Eletrônico
🤖 Inteligência Artificial
B2B • eCommerce • Artificial Intelligence
OneMagnify é uma empresa focada em criar experiências ótimas para o cliente através da transformação digital. Eles se especializam em uma variedade de serviços, incluindo pesquisa de clientes, experiência de marca, design UI/UX, desenvolvimento de websites, e-commerce e mídia programática alimentada por IA. Ao aproveitar estratégias baseadas em dados e tecnologia, a OneMagnify melhora o engajamento do cliente e desenvolve experiências personalizadas em escala para seus clientes.
• Lead Data Platform Architecture and Delivery • Own the technical direction and delivery of cloud-native data platforms built on Databricks and AWS • Lead the design and implementation of Lakehouse architecture — Delta Lake, Unity Catalog, Spark-based processing — across client engagements • Ensure scalability, performance, security, and cost optimization are built into solutions from the start, not addressed after delivery • Build and Optimize Data Pipelines • Oversee ingestion, transformation, and orchestration pipelines across both batch and streaming workloads • Apply AWS-native services (Glue, Step Functions, Lambda, Redshift, S3) alongside Databricks to build reliable, production-grade pipelines • Establish reusable pipeline patterns and delivery accelerators that raise consistency across the team • Enable AI, ML, and GenAI Use Cases • Ensure data is accessible, trusted, and production-ready to support model development and deployment across AI and GenAI initiatives • Collaborate closely with data science and analytics teams to align platform capabilities with active and planned AI programs • Contribute to client AI roadmap conversations by translating platform decisions into clear enablement strategies • Engage Clients on Technical Strategy • Participate in client-facing architecture reviews and technical strategy sessions, communicating complex platform concepts as practical business outcomes • Support senior leadership in executive briefings and help clients make confident decisions about platform direction and investment • Partner with strategy and delivery teams to scope and structure data platform engagements • Develop the Data Platform Team • Lead, mentor, and grow a team of data engineers, architects, and platform specialists • Set technical standards and create an environment where craft and continuous improvement are expected • Identify skill gaps and help build the team's capabilities alongside the growth of OneMagnify's data practice
• 7+ years of experience in data engineering, data architecture, or analytics, with at least 2 years in a team leadership role • Proven hands-on experience with Databricks in production environments (Delta Lake, Unity Catalog, Spark) • Deep experience with AWS data services — Glue, Redshift, S3, Lambda, Step Functions — in production • Strong expertise in modern data patterns: Lakehouse architecture, ELT/ETL, streaming, APIs, and pipeline orchestration • Solid understanding of AI/ML and GenAI ecosystems, including data requirements for model development and deployment • Ability to lead technical teams, communicate clearly with client stakeholders, and drive delivery quality across engagements
• medical, dental, and vision coverage • 401(k) retirement plan • paid holidays • Flexible Time Off (FTO) • additional programs focused on wellness, financial security, and professional growth
Candidatar-se🕒 Abril 22
Data Engineer responsible for designing and developing data pipelines for video advertising campaigns. Collaborating with a senior data engineer and a high-output team to shape data architecture.
🇺🇸 Estados Unidos – Remoto (EUA)
💰 Venture Round em 2018-01
⏰ Tempo Integral
🟡 Pleno
🟠 Sênior
🚰 Engenheiro de Dados
🗣️🇺🇸🇬🇧 Inglês obrigatório
🕒 Abril 21
51 - 200
Data Engineer responsible for building reliable data systems at a Series C startup tackling social issues. Collaborate across teams to ensure data integrity and access.
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $174.000 - $230.000 / ano
⏰ Tempo Integral
🟠 Sênior
🚰 Engenheiro de Dados
🗣️🇺🇸🇬🇧 Inglês obrigatório
🕒 Abril 21
Lead Data Consultant designing and delivering scalable data solutions for clients at DAS42. Advising on data value maximization and solution architecture, while mentoring teams.
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $115.000 - $145.000 / ano
⏰ Tempo Integral
🟠 Sênior
🚰 Engenheiro de Dados
🗣️🇺🇸🇬🇧 Inglês obrigatório
🕒 Abril 21
Product Manager for Data Engineering & Fleet Telemetry at SunStrong Management, leading IoT telemetry strategy and data architecture for renewable energy assets.
🇺🇸 Estados Unidos – Remoto (EUA)
🔥 Investimento no último ano
💰 $900.000.000 Debt financing em 2025-11
⏰ Tempo Integral
🟡 Pleno
🟠 Sênior
🚰 Engenheiro de Dados
🗣️🇺🇸🇬🇧 Inglês obrigatório
🕒 Abril 21
Senior Data Engineer for CRB improving internal data and business intelligence with Microsoft tools. Responsibilities include designing ETL processes and mentoring junior engineers.
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $110.000 - $145.000 / ano
⏰ Tempo Integral
🟠 Sênior
🚰 Engenheiro de Dados
🦅 Patrocina Visto H1B
🗣️🇺🇸🇬🇧 Inglês obrigatório