Managing Engineer, Data Engineering

🕒 Outubro 5

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $120.000 - $193.725 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🚰 Engenheiro de Dados

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 1%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Allstate

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1931

💼 Consultoria

📦 Logística

🛡️ Seguros

💰 Post-IPO Equity em 2014-01

Consulting • Logistics • Insurance

A Allstate é uma líder do setor na oferta de soluções de seguros, com foco em proteção de residências, automóveis, dispositivos e identidade. Com um compromisso com o bem-estar dos clientes, a Allstate visa proporcionar tranquilidade e segurança financeira para seus clientes. A empresa também enfatiza o impacto comunitário e a sustentabilidade por meio de várias iniciativas, demonstrando sua dedicação à responsabilidade social e à mudança positiva.

Descrição

• Lead, mentor, and coach Data Engineers and support their technical and professional development • Establish engineering standards and promote best practices, collaboration, accountability, knowledge sharing, and continuous improvement • Lead the design, development, implementation, and support of scalable batch and streaming data solutions • Develop reusable patterns for data ingestion, transformation, storage, and access • Integrate data from APIs, databases, event streams, third-party platforms, and enterprise systems • Participate in architecture discussions, solution design, code reviews, troubleshooting, and complex problem-solving • Promote version control, automated testing, continuous integration, automated deployment, and infrastructure automation • Establish standards for data quality, validation, monitoring, lineage, and observability • Optimize data pipelines, databases, queries, and storage solutions for performance and cost • Support production operations and lead critical incidents, root-cause analysis, and preventative improvements • Partner with Product Managers, Architects, Engineers, Analysts, and business stakeholders to deliver data solutions • Translate business and product needs into technical roadmaps and defined engineering work • Lead or contribute to planning, prioritization, estimation, and delivery activities • Manage risks, dependencies, resource needs, and competing priorities • Communicate progress, technical recommendations, risks, and dependencies to stakeholders and leaders • Promote data governance, metadata management, data lineage, classification, and data quality • Ensure compliance with security, privacy, governance, and regulatory requirements • Support cloud modernization, data platform transformation, innovation, automation, and responsible use of generative and agent-based AI tools • Depending on position level, support or lead hiring, onboarding, performance feedback, career development, and workforce planning • This job has supervisory duties

🎯 Requisitos

• 5 or more years of experience designing, developing, and supporting data solutions, data pipelines, or enterprise software systems (5+ years opportunity) • 1 or more years of experience providing technical leadership, mentorship, coaching, or project leadership (5+ years opportunity) • 7 or more years of experience designing, developing, and supporting data solutions, data pipelines, or enterprise software systems (7+ years opportunity) • 3 or more years of experience leading, mentoring, or managing technical professionals (7+ years opportunity) • Experience guiding engineers through technical mentorship and knowledge sharing • Experience with coaching, performance management, career development, hiring, and team development • Strong hands-on experience developing data pipelines using Python, Java, Scala, or a comparable programming language • Experience designing and supporting batch or streaming data solutions • Experience with Apache Spark, Apache Kafka, Apache Flink, dbt, or comparable technologies • Strong knowledge of SQL, NoSQL databases, data modeling, and data storage or architecture concepts • Experience integrating data from APIs, databases, event streams, third-party platforms, and enterprise systems • Experience with automated testing, continuous integration and delivery, deployment automation, observability, and DevOps practices • Experience with Docker and Kubernetes • Strong communication, collaboration, decision-making, and stakeholder management skills • Ability to influence technical outcomes and balance hands-on engineering, people leadership, and delivery accountability • Background investigation required • Reliable internet with minimum speeds of 50 MB download and 5 MB upload • Dedicated, private home workspace with appropriate desk and seating • Allstate generally does not sponsor individuals for employment-based visas for this position

🏖️ Benefícios

• Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse • Monthly connectivity reimbursement for employees eligible to work from home • Remote work arrangement