IT Data Engineer IV

🕒 Agosto 18

🏈 Alabama, Colorado, +5 estados a mais – Remoto

🏈 Alabama – Remote ⛰️ Colorado – Remote 🐊 Florida – Remote 🌲 North Carolina – Remote 🌴 South Carolina – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote

💵 $87.282 - $139.425 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🚰 Engenheiro de Dados

👻 Score fantasma 31%

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.

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SouthState Bank

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

🏦 Bancário

💸 Finanças

💳 Fintech

Banking • Finance • Fintech

O SouthState Bank é uma instituição financeira que oferece uma ampla gama de produtos e serviços bancários. Ela fornece soluções de banco pessoal, como contas correntes e de poupança, cartões de crédito, e serviços de banco online e móvel. O banco também oferece opções de empréstimo, incluindo empréstimos pessoais, hipotecas e linhas de crédito com garantia imobiliária. Além disso, o SouthState Bank oferece serviços de investimento, como planejamento financeiro e de aposentadoria. Para empresas, ele oferece serviços de banco para pequenas e médias empresas, incluindo empréstimos, linhas de crédito e gestão de fluxo de caixa. Também oferecem serviços de gestão de patrimônio para clientes pessoais e corporativos.

Descrição

• Serve as a senior technical lead for enterprise data engineering • Design, build, and improve scalable data platforms, Snowflake solutions, and dbt transformation frameworks • Deliver secure, reliable, maintainable data pipelines and analytical data products • Establish and enforce standards for code quality, CI/CD, testing, observability, documentation, metadata, security, and operational excellence • Partner with business stakeholders, data owners, architects, compliance teams, and technology partners to translate requirements into data solutions and roadmaps • Support, monitor, troubleshoot, and continuously improve enterprise data platforms • Resolve complex production issues, improve performance, enhance data quality, and ensure operational reliability • Provide technical leadership, mentorship, architectural reviews, coaching, and strategic direction • Evaluate emerging technologies and support advanced analytics, AI/ML, and enterprise data initiatives

🎯 Requisitos

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field, or equivalent combination of education and relevant professional experience • 8-10+ years of progressive data engineering experience, with at least 3 years in a senior or lead technical capacity • 5+ years of hands-on experience designing, developing, and optimizing solutions in Snowflake • 5+ years serving in a senior engineer, technical lead, solution lead, or architecture-influencing capacity • 5+ years of hands-on experience with dbt • 5+ years of experience with SQL and Python • 3+ years of experience with pipeline orchestration tools • Experience partnering with business departments, data owners, reporting teams, architects, compliance, and technology groups • Experience supporting production data pipelines, troubleshooting data quality issues, root cause analysis, and monitoring or preventive controls • Demonstrated experience architecting ML/AI data infrastructure including feature stores, MLOps pipelines, and LLM-based data processing workflows • Ability to design maintainable data pipelines using SQL, Python, Snowflake, dbt, and enterprise orchestration patterns • Advanced hands-on experience with Snowflake and cloud-native data warehouses/lakehouses • Experience with Delta Lake, Apache Iceberg, or Apache Hudi • Proficiency with Docker and Kubernetes • Understanding of AI/ML data engineering, semantic models, feature stores, MLOps, semantic search, embeddings, and workflow orchestration • Proficiency with real-time and event-driven data platform concepts • Experience with stream processing and change data capture • Strong understanding of data quality frameworks, observability, lineage tracking, metadata management, data cataloging, and data classification • Ability to design scalable, cost-optimized architectures using medallion, data vault, or dimensional modeling patterns • Ability to produce ADRs and design documents and communicate technical concepts to technical and non-technical stakeholders • Ability to facilitate requirements gathering and design sessions • Proven ability to influence cross-functional teams, mentor engineers, lead code and design reviews, and drive best practices • Ability to communicate in person, by phone, and through electronic channels • Ability to use a computer frequently and sit, walk, and/or stand for extended periods

🏖️ Benefícios

• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions • Secure and distraction-free remote or hybrid work setting with reliable internet connection (cable or fiber preferred)