Lead Engineer, Data Streaming

Vaga não está no LinkedIn

🕒 Junho 3

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 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

Empower

SiteLinkedInTodas as Vagas

10.000+ funcionários

💸 Finanças

💳 Fintech

👥 B2C

Finance • Fintech • B2C

A Empower é uma fornecedora líder de serviços financeiros focada em ajudar indivíduos e organizações a alcançar a liberdade financeira através do planejamento de aposentadoria e da gestão de investimentos. Atendendo a mais de 19 milhões de americanos, a Empower oferece um conjunto abrangente de serviços relacionados a finanças, incluindo planejamento inteligente e aconselhamento de investimento, além de ferramentas como o Empower Personal Dashboard™ para uma visão financeira completa. A empresa é renomada como uma das principais provedoras de planos de aposentadoria e trabalha de perto com investidores pessoais, poupadores de planos no local de trabalho, patrocinadores de planos e profissionais financeiros. A Empower também é reconhecida por suas iniciativas em Diversidade, Equidade, Inclusão e tem um compromisso social que fortalece o impacto na comunidade.

Descrição

• Design and implement scalable data platform solutions, including data streaming, CDC, data warehouses, data lakes, and ETL/ELT pipelines. • Contribute to and help enforce platform standards, best practices, and design patterns for cloud-based data technologies. • Build and support end-to-end data integration pipelines from source systems through Kafka/Striim (or similar) into analytical and operational platforms. • Lead technical design discussions and contribute to architecture reviews for complex data solutions. • Ensure high reliability and performance of data platforms through observability, monitoring, and proactive issue resolution. • Act as a senior escalation point for troubleshooting production issues and optimizing system performance. • Partner with platform engineering, security, and data governance teams to align implementations with enterprise standards. • Promote an automation-first mindset by implementing CI/CD pipelines, infrastructure as code, and testing frameworks. • Contribute to operational resilience through robust error handling, replay capabilities, and validation strategies. • Evaluate and adopt new tools and technologies to continuously improve the data platform ecosystem. • Mentor and guide engineers, fostering strong engineering practices and technical growth across the team.

🎯 Requisitos

• Bachelor’s degree in Computer Science or equivalent experience • 8+ years of software or data engineering experience with demonstrated technical leadership • Strong hands-on experience building and operating large-scale data platforms in production environments • Experience designing and maintaining CI/CD pipelines for data and platform engineering workflows • Experience with databases and data platforms such as Oracle, PostgreSQL, Redshift, Snowflake, and Kafka (or similar technologies) • Familiarity with containerization and infrastructure tools such as Docker, Kubernetes, Terraform, and Ansible • Strong programming and querying skills (e.g., Python, SQL) • Solid understanding of distributed systems, cloud architectures, and data engineering design patterns • Strong problem-solving, communication, and collaboration skills.

🏖️ Benefícios

• Flexible work environment • Purpose and well-being focus • Work-life balance • Internal mobility celebration • Volunteering opportunities