Senior Data Engineer – Data & AI

🕒 Outubro 1

🤠 Texas – Remoto

🤠 Texas – Remote

💵 $155.000 - $175.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 2%

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

TTEC Digital

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

💼 Consultoria

📣 Marketing

🤖 Inteligência Artificial

Consulting • Marketing • Artificial Intelligence

TTEC Digital é líder em transformação da experiência do cliente, combinando tecnologia e empatia humana para melhorar as interações com o cliente. Com foco em inteligência artificial, tecnologia de central de contato e gestão de relacionamento com o cliente, a TTEC Digital oferece soluções personalizadas para transformação digital de médio porte. Suas ofertas abrangentes incluem análise de dados, estratégia e design de CX, e serviços gerenciados que otimizam o engajamento dos clientes em diversos setores.

Descrição

• Lead the design and build of end-to-end data platforms spanning ingestion, cleaning, preparation, transformation, analytics, and activation. • Architect Medallion (Bronze, Silver, Gold) lakehouse patterns using OneLake/Delta Lake. • Own data modeling for client engagements across dimensional, normalized, and semantic layers. • Design batch and streaming ingestion patterns using Fabric Data Factory/pipelines, Azure Databricks Structured Streaming, and event-driven architectures such as Event Hubs. • Identify and resolve architectural risk and technical debt; optimize pipelines for performance and cost. • Design and build APIs and data services for governed data activation. • Design MCP and API-based integrations connecting business systems, Data Agents, and agentic AI interfaces. • Partner with AI and Architecture teams to expose enterprise data to Data Agents and Generative AI applications. • Implement data governance patterns using Microsoft Purview and/or Unity Catalog. • Support production operations and incident response for critical pipelines and activation services. • Mentor Data Engineers and provide technical direction through code, model, and design reviews. • Advise client stakeholders on architecture trade-offs and design decisions. • Contribute to reusable frameworks, accelerators, and engineering standards. • Support presales activities, including estimates, proposals, and solution design. • Evaluate new Fabric and Azure Databricks capabilities for client platforms.

🎯 Requisitos

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical discipline. • 5-8 years of experience in data engineering, with strong ownership of production data pipelines on Azure. • Expert-level proficiency in Python, SQL, and PySpark for building distributed data pipelines at scale. • Deep hands-on experience with the Microsoft Azure Data & AI stack (Azure Data Factory, Microsoft Fabric, Synapse, ADLS Gen2) and/or Azure Databricks, including Delta Lake/OneLake and Medallion architecture patterns. • Strong background in data modeling, schema design, and enterprise data architecture across the full lifecycle from ingestion to activation. • Experience designing APIs and MCP-based integrations that exchange data with front-line systems, Data Agents, and other agentic AI interfaces. • Experience with orchestration and CI/CD (Fabric pipelines, Azure Data Factory, Databricks Workflows, Azure DevOps). • Strong knowledge of data governance and security tooling, including Microsoft Purview and/or Unity Catalog. • Demonstrated ability to mentor engineers and lead technical design discussions on client-facing engagements. • Strong problem-solving skills and ability to troubleshoot complex, large-scale data issues independently. • Excellent communication skills, with the ability to explain technical trade-offs to both technical and client audiences. • Relevant Microsoft certifications (e.g., Azure Data Engineer Associate, Fabric Analytics Engineer Associate) and/or Databricks certifications preferred.