Senior Data Engineer

Vaga não está no LinkedIn

🕒 Abril 10

☕ Washington – Remoto

☕ Washington – Remote

💵 $114.668 - $154.216 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

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Ziply Fiber

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2020

📡 Telecomunicações

👥 B2C

💰 Corporate Round em 2022-11

Telecommunications • Internet Services • B2C

Ziply Fiber é um fornecedor líder de serviços de internet de fibra óptica no noroeste do Pacífico, oferecendo planos de internet de alta velocidade que atendem tanto clientes residenciais quanto empresariais. Com foco na transparência e satisfação do cliente, a Ziply Fiber oferece serviços sem contratos anuais, sem limites de dados e uma variedade de opções de internet multi-gig projetadas para lares e empresas modernos. Seus serviços incluem WiFi para toda a casa, TV via streaming e serviços telefônicos, tornando-a uma solução completa para necessidades de conectividade.

Descrição

• The Senior Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines, data models, and infrastructure that support business intelligence, analytics, and operational data needs. • This role involves working with various structured and unstructured data sources, optimizing data workflows, and ensuring high data reliability and quality. • Design, develop, and maintain scalable data pipelines for ingestion, transformation, and storage of large datasets. • Troubleshoot and resolve data pipeline and ETL failures, implementing robust monitoring and alerting systems. • Automate data workflows increase efficiency and reduce manual intervention. • Optimize data models for analytics and business intelligence reporting. • Build and maintain data infrastructure, ensuring performance, reliability, and scalability. • Implement best practices for data governance, security, and compliance. • Work with structured and unstructured data, integrating data from various sources including databases, APIs, and streaming platforms. • Collaborate with data analysts, data scientists, and business stakeholders to understand data needs and design appropriate solutions. • Mentor and train junior engineers, fostering a culture of learning and innovation. • Develop and maintain documentation for data engineering processes and workflows.

🎯 Requisitos

• Bachelor’s degree in Computer Science, Engineering, or a related field. • Minimum of eight (8) years of experience in data engineering, ETL development, or related fields. • Strong proficiency in SQL and database technologies (PostgreSQL, MySQL, Oracle, SQL Server, etc.). • Familiarity with Linux/Unix and scripting technologies utilized on them. • Proficiency in programming languages such as Python for data engineering tasks. • Hands-on experience with cloud platforms such as Microsoft Azure and its data services such as Azure Data Factory and Azure Synapse Analytics. • Experience working with data warehouses such as Snowflake or Azure SQL Data Warehouse. • Familiarity with workflow automation tools such as Autosys. • Knowledge of data modeling, schema design, and data architecture best practices. • Strong understanding of data governance, security, and compliance standards. • Ability to work independently in a remote environment across different time zones and collaborate effectively across teams. • Exposure to GraphQL and RESTful APIs for data retrieval and integration. • Familiarity with NoSQL databases such as MongoDB. • Experience with version control software such as GitLab.

🏖️ Benefícios

• Medical • dental • vision • 401k • flexible spending account • paid sick leave and paid time off • parental leave • quarterly performance bonus • training • career growth and education reimbursement programs.