{"id":1855,"date":"2025-12-13T02:56:00","date_gmt":"2025-12-13T02:56:00","guid":{"rendered":"https:\/\/explorafly.com\/d1613751-ec2d-4f7f-88c8-e6a54846b32b\/"},"modified":"2025-12-13T02:56:07","modified_gmt":"2025-12-13T02:56:07","slug":"d1613751-ec2d-4f7f-88c8-e6a54846b32b","status":"publish","type":"post","link":"https:\/\/explorafly.com\/pt\/d1613751-ec2d-4f7f-88c8-e6a54846b32b\/","title":{"rendered":"Engenheiro de Dados Databricks \u2013 Excelente sal\u00e1rio, empresa l\u00edder, oportunidade de crescimento"},"content":{"rendered":"<\/p>\n<\/p>\n<div style=\"background: #ffffff; border-radius: 12px; box-shadow: 0 10px 30px rgba(0, 0, 0, 0.1); width: 100%; max-width: 340px; padding: 25px; transition: transform 0.3s ease-in-out; overflow: visible; display: flex; flex-direction: column; position: relative; border: 1px solid #28a745; margin-top: 70px; margin-bottom: 50px; margin-left: auto; margin-right: auto;\">\n<div style=\"position: absolute; top: -35px; right: 15px; color: #28a745; padding: 5px 10px; border-radius: 6px; font-size: 14px; font-weight: bold; display: flex; align-items: center; z-index: 10;\">Recomendado para voc\u00ea<\/div>\n<div data-namespace-header=\"\" style=\"\">\n<h3 data-namespace-title=\"\" style=\"color: #333; font-size: 20px; font-weight: bold; text-align: left; margin-right: 50px; min-height: 50px; margin-top: 0px;\">Engenheiro de Dados da Databricks<\/h3>\n<\/p><\/div>\n<p data-namespace-prompt=\"\" style=\"font-size: 16px; color: #666; margin-bottom: 20px; line-height: 1.5; flex-grow: 1; text-align: left; margin-top: 0px;\">Junte-se a uma empresa Fortune 10 como Engenheiro(a) de Dados Databricks! Sal\u00e1rio competitivo, grande potencial de crescimento, projetos impactantes e um caminho claro para o avan\u00e7o na carreira. Candidate-se agora!<\/p>\n<p>    <a data-namespace-url=\"\" href=\"https:\/\/explorafly.com\/pt\/redirect\/?https:\/\/jobs.womenforhire.com\/job\/usa\/coppell-tx\/databricks-data-engineer-946060\/?utm_campaign=google_jobs_apply&#038;utm_source=google_jobs_apply&#038;utm_medium=organic\" style=\"width: 100%; display: inline-block; color: white; text-decoration: none; border-radius: 6px; font-size: 16px; font-weight: bold; text-align: center; transition: transform 0.3s ease, background 0.3s ease; margin-top: auto;\" data-namespace-id=\"5c0d2565-3ba9-4280-a382-ad2a691e2285\"><br \/>\n        <button style=\"width: 100%; height: 55px; background: #e9e9ed; border: 1px solid black; color: black;\">Candidate-se \u00e0 vaga<\/button><br \/>\n    <\/a><br \/>\n    <small style=\"margin-top: 10px; color: #777; font-size: 12px; text-align: center; display: block;\">Voc\u00ea ser\u00e1 redirecionado para outro site.<\/small>\n<\/div>\n<h2>O que esperar da fun\u00e7\u00e3o de Engenheiro de Dados na Databricks<\/h2>\n<p>A vaga de Engenheiro de Dados na Databricks oferece uma faixa salarial bastante atrativa, de \u00a3110.800 a \u00a3184.600, tornando-a uma escolha lucrativa para profissionais da \u00e1rea de dados.<\/p>\n<p>Esta \u00e9 uma oportunidade de emprego em tempo integral com excelente remunera\u00e7\u00e3o, b\u00f4nus por desempenho e um pacote robusto de benef\u00edcios, como parte da remunera\u00e7\u00e3o total oferecida por uma empresa listada na Fortune 10.<\/p>\n<p>Os candidatos podem esperar um ambiente exigente, por\u00e9m gratificante. A organiza\u00e7\u00e3o valoriza o impacto, a inova\u00e7\u00e3o e incentiva os funcion\u00e1rios a contribu\u00edrem com novas ideias.<\/p>\n<p>Os candidatos devem ter pelo menos quatro anos de experi\u00eancia com Databricks e Apache Spark, al\u00e9m de s\u00f3lidos conhecimentos em SQL e modelagem de dados.<\/p>\n<p>N\u00e3o h\u00e1 patroc\u00ednio de visto de trabalho dispon\u00edvel, e a vaga destina-se a candidatos residentes nos EUA com autoriza\u00e7\u00e3o para trabalhar sem restri\u00e7\u00f5es.<\/p>\n<h2>Principais responsabilidades di\u00e1rias<\/h2>\n<p>As tarefas di\u00e1rias giram em torno da constru\u00e7\u00e3o, otimiza\u00e7\u00e3o e manuten\u00e7\u00e3o de pipelines de dados em lote e em fluxo cont\u00ednuo, utilizando os frameworks Databricks e Apache Spark.<\/p>\n<p>Monitorar a integridade dos fluxos de trabalho \u00e9 essencial. Voc\u00ea solucionar\u00e1 problemas de falhas em tarefas, analisar\u00e1 gargalos de desempenho e lidar\u00e1 com quest\u00f5es de qualidade de dados usando ferramentas nativas do Databricks.<\/p>\n<p>A responsabilidade inclui aplicar seus s\u00f3lidos conhecimentos de SQL e modelagem de dados com bancos de dados como Oracle, PostgreSQL e MongoDB para transforma\u00e7\u00e3o e valida\u00e7\u00e3o de dados.<\/p>\n<p>Voc\u00ea implementar\u00e1 controles de seguran\u00e7a robustos e cumprir\u00e1 os padr\u00f5es regulat\u00f3rios, dando suporte a m\u00faltiplos casos de uso de neg\u00f3cios e an\u00e1lises.<\/p>\n<p>A documenta\u00e7\u00e3o clara das arquiteturas de pipeline e a colabora\u00e7\u00e3o com outras equipes, como as de an\u00e1lise e intelig\u00eancia de neg\u00f3cios, s\u00e3o essenciais para a fun\u00e7\u00e3o.<\/p>\n<h2>Pr\u00f3s \u2013 O que diferencia esta fun\u00e7\u00e3o<\/h2>\n<p>A remunera\u00e7\u00e3o \u00e9 altamente competitiva, refletindo a import\u00e2ncia e a complexidade do trabalho envolvido, garantindo que seus esfor\u00e7os sejam bem recompensados.<\/p>\n<p>Trabalhar para uma empresa da lista Fortune 10 significa estabilidade, benef\u00edcios excepcionais e grandes oportunidades de crescimento pessoal e profissional.<\/p>\n<h2>Contras \u2013 Considere antes de se candidatar<\/h2>\n<p>A fun\u00e7\u00e3o exige experi\u00eancia significativa e um conjunto de compet\u00eancias t\u00e9cnicas, o que pode ser um desafio para profissionais menos experientes ou em transi\u00e7\u00e3o de carreira.<\/p>\n<p>N\u00e3o est\u00e1 aberto a candidatos que buscam patroc\u00ednio, limitando as oportunidades para candidatos internacionais ou para aqueles que precisam de assist\u00eancia para obter autoriza\u00e7\u00e3o de trabalho.<\/p>\n<h2>Veredito \u2013 Este cargo \u00e9 adequado para voc\u00ea?<\/h2>\n<p>Esta vaga de Engenheiro de Dados na Databricks se destaca para aqueles que buscam crescimento na carreira, alto potencial de ganhos e trabalho desafiador e significativo.<\/p>\n<p>Se sua experi\u00eancia profissional se encaixa nos requisitos e voc\u00ea deseja prosperar em um ambiente din\u00e2mico com oportunidades de crescimento, esta \u00e9 uma excelente oportunidade para dar o pr\u00f3ximo passo em sua carreira.<\/p>\n<div style=\"background: #ffffff; border-radius: 12px; box-shadow: 0 10px 30px rgba(0, 0, 0, 0.1); width: 100%; max-width: 340px; padding: 25px; transition: transform 0.3s ease-in-out; overflow: visible; display: flex; flex-direction: column; position: relative; border: 1px solid #28a745; margin-top: 70px; margin-bottom: 50px; margin-left: auto; margin-right: auto;\">\n<div style=\"position: absolute; top: -35px; right: 15px; color: #28a745; padding: 5px 10px; border-radius: 6px; font-size: 14px; font-weight: bold; display: flex; align-items: center; z-index: 10;\">Recomendado para voc\u00ea<\/div>\n<div data-namespace-header=\"\" style=\"\">\n<h3 data-namespace-title=\"\" style=\"color: #333; font-size: 20px; font-weight: bold; text-align: left; margin-right: 50px; min-height: 50px; margin-top: 0px;\">Engenheiro de Dados da Databricks<\/h3>\n<\/p><\/div>\n<p data-namespace-prompt=\"\" style=\"font-size: 16px; color: #666; margin-bottom: 20px; line-height: 1.5; flex-grow: 1; text-align: left; margin-top: 0px;\">Junte-se a uma empresa Fortune 10 como Engenheiro(a) de Dados Databricks! Sal\u00e1rio competitivo, grande potencial de crescimento, projetos impactantes e um caminho claro para o avan\u00e7o na carreira. Candidate-se agora!<\/p>\n<p>    <a data-namespace-url=\"\" href=\"https:\/\/explorafly.com\/pt\/redirect\/?https:\/\/jobs.womenforhire.com\/job\/usa\/coppell-tx\/databricks-data-engineer-946060\/?utm_campaign=google_jobs_apply&#038;utm_source=google_jobs_apply&#038;utm_medium=organic\" style=\"width: 100%; display: inline-block; color: white; text-decoration: none; border-radius: 6px; font-size: 16px; font-weight: bold; text-align: center; transition: transform 0.3s ease, background 0.3s ease; margin-top: auto;\" data-namespace-id=\"5c0d2565-3ba9-4280-a382-ad2a691e2285\"><br \/>\n        <button style=\"width: 100%; height: 55px; background: #e9e9ed; border: 1px solid black; color: black;\">Candidate-se \u00e0 vaga<\/button><br \/>\n    <\/a><br \/>\n    <small style=\"margin-top: 10px; color: #777; font-size: 12px; text-align: center; display: block;\">Voc\u00ea ser\u00e1 redirecionado para outro site.<\/small>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Fast-track your career as a Databricks Data Engineer with a leading employer. Great pay, real impact, and opportunities for growth. Find out if this role fits your expertise and goals.<\/p>","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[3],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Databricks Data Engineer \u2013 Excellent Salary, Leading Employer, Growth Opportunity - explorafly<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/explorafly.com\/pt\/d1613751-ec2d-4f7f-88c8-e6a54846b32b\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Databricks Data Engineer \u2013 Excellent Salary, Leading Employer, Growth Opportunity - explorafly\" \/>\n<meta property=\"og:description\" content=\"Fast-track your career as a Databricks Data Engineer with a leading employer. 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