Senior Data Reliability Engineer, AWS

🕒 Agosto 1

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $105.700 - $149.275 / ano

⏰ Tempo Integral

🟠 Sênior

⛑ DevOps & Engenheiro de Confiabilidade do Site (SRE)

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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

• Own the reliability and stability of production data pipelines and data platform services • Diagnose and resolve data pipeline failures, delays, and data quality issues in production environments • Investigate issues across distributed data systems (e.g., Spark/EMR workloads, ingestion pipelines, warehouse performance) • Lead or support incident response, including triage, mitigation, and long-term resolution • Perform root cause analysis (RCA) and implement durable fixes to prevent recurrence • Define and improve data SLAs (freshness, latency, completeness) and ensure adherence • Design and enhance monitoring, alerting, and observability for data systems • Develop automation and tooling to reduce operational toil and improve system resilience • Contribute to disaster recovery (DR) and resiliency planning, including backup validation and recovery workflows • Partner with engineering teams to improve pipeline design, reliability, and operational readiness • Create and maintain runbooks, SOPs, and operational documentation • Participate in occasional off-hours support for production data systems when required

🎯 Requisitos

• Minimum 5 years of experience working with production data platforms in AWS environments • Prior experience building data pipelines and seeing them through production, including exposure to real-world failures and operational challenges • Strong experience with Python and SQL in real data systems • Hands-on experience troubleshooting distributed data processing systems (e.g., Spark/EMR, Redshift, streaming systems) • Proven ability to debug and resolve production issues in data pipelines and data platforms • Experience with AWS data services (such as EMR, Redshift, DynamoDB, S3, or similar) • Experience handling production incidents and performing root cause analysis • Strong problem-solving mindset and ability to work through ambiguous production issues.

🏖️ Benefícios

• Medical, dental, vision and life insurance • Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup • Tuition reimbursement up to $5,250/year • Business-casual environment that includes the option to wear jeans • Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year • Paid volunteer time — 16 hours per calendar year • Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA) • Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.