Staff Software Engineer, Data Ingestion

🕒 Maio 28

🏄 California, Texas, +2 estados a mais – Remoto

🏄 California – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $197.300 - $313.700 / ano

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

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Salesforce

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1999

☁️ SaaS

🤝 B2B

🤖 Inteligência Artificial

SaaS • B2B • Artificial Intelligence

O Salesforce é uma empresa líder em software baseado em nuvem que fornece uma plataforma abrangente de gerenciamento de relacionamento com o cliente (CRM). A plataforma conecta todos os dados e equipes da empresa em um sistema integrado e orientado por IA para melhorar as vendas, o atendimento ao cliente e os esforços de marketing. O Salesforce oferece soluções escaláveis para empresas de todos os portes, incluindo pequenas e médias empresas, e fornece soluções específicas para setores industriais que modernizam operações, economizam tempo e reduzem custos. O Salesforce também oferece recursos educacionais através do Trailhead e uma ampla seleção de aplicativos no AppExchange para expandir as capacidades de seu CRM.

Descrição

• Design and develop highly scalable and resilient streaming and batch pipelines for ingesting and processing structured and unstructured datasets • Design and implement Slack’s Lakehouse solutions and enable production use cases for customers • Improve the reliability and performance of the services/pipelines through AI assisted and/or Agentic solutions and tools. • Automate and handle the lifecycle of datasets (schema evolution, metadata management, change and backfill management, deprecation and migration). • As one of the tech leads, comfortably collaborate with cross functional partners and lead technical initiatives independently end to end. • Be a role model and a multiplier, coaching and mentoring other engineers across the team and the org. • Write, review, or provide feedback on a technical design proposal from others.

🎯 Requisitos

• U.S. citizenship and willing to undergo a background check for GovSlack authorization. • 7+ years of software/data engineering experience, including experience with building applications using Streaming and Lakehouse technologies, e.g. Kafka/Kafka Connect, Flink/Spark Streaming, Iceberg/Hudi/Delta or equivalent • hands on experience and knowledge on building and maintaining batch data pipelines using Spark, Airflow, EMR, S3 or equivalent • proficient in object-oriented and/or functional programming languages: SQL, Python, Java/Scala, Go or equivalent • skilled at crafting and building robust distributed microservices with tools like Kubernetes, Docker, AWS ECS/EKS, Terraform, Grafana, etc. • familiar with AI-assisted software development and automation and have hands on experience of Claude Code/Codex or equivalent • excellent written and verbal communication and interpersonal skills; able to effectively collaborate with cross functional partners and explaining sophisticated technical concepts to non-technical stakeholders.

🏖️ Benefícios

• time off programs • medical • dental • vision • mental health support • paid parental leave • life and disability insurance • 401(k) • employee stock purchasing program