Staff Data Engineer

Meeru AI Inc · Remoto · Remote

Recebendo candidaturas · conferida em 22/10

Ficha da vaga

Modelo
Remoto
Onde aceita
Aceita candidatos do Brasil
Senioridade
Staff
Salário
Salário não divulgado

Fonte: Workable · Ver vaga original →

  • analise dados
  • sql
  • python
  • cloud basico
  • erp
  • crm
  • ai ml products
  • b2b saas
  • resolucao problemas
  • trabalho equipe
  • comunicacao

Organizei a descrição em seções com IA. O texto completo da vaga está logo abaixo.

Sobre a vaga

Meeru AI is seeking a Staff Data Engineer to build and own major subsystems of the data foundation, including pipelines, connectors, and curated models. In this hands-on engineering role, you will design robust, production-grade systems for enterprise financial data.

O que você vai fazer

  • build and own the major subsystems of the data foundation — the pipelines, connectors, and curated models that feed the platform's analytics and AI layers
  • turn data architecture and standards set by the data lead into robust, production-grade systems
  • own significant pieces of the platform end to end complex transformations over the warehouse, source integrations for new customer systems, and the reconciliation and lineage that prove the curated model ties back to source

Descrição completa da vaga

About Meeru AI

Meeru AI is building an AI-native platform that transforms how finance and accounting teams operate. We connect to enterprise financial systems — ERPs, CRMs, billing platforms, HRIS — and apply machine learning to turn fragmented operational data into grounded, auditable intelligence for CFOs, controllers, and FP&A leaders. We deploy on customer terms — SaaS multi-tenant, SaaS single-tenant, and on-premises — across AWS, Azure, and GCP . Our customers are Fortune 500 finance teams who require data isolation, auditability, and compliance.

The Role

We are looking for a Staff Data Engineer to build and own the major subsystems of the data foundation — the pipelines, connectors, and curated models that feed the platform's analytics and AI layers. You take the data architecture and standards set by the data lead and turn them into robust, production-grade systems that don't break and don't lie about the numbers. You own significant pieces of the platform end to end complex transformations over the warehouse, source integrations for new customer systems, and the reconciliation and lineage that prove the curated model ties back to source. This is a hands-on, high-ownership engineering role with a clear path toward Senior Staff.

Perguntas e respostas sobre a vaga

Aceita candidatos de onde?
Aceita candidatos do Brasil.
Qual o regime de contratação?
A vaga não diz.
É remota?
Sim, é remota.
Informa salário?
Não, a vaga não divulga.

Nenhuma vaga séria cobra para você se candidatar, e eu nunca peço dado bancário dentro de uma candidatura. O plano pago é cobrado só pelo Asaas, meu parceiro de pagamento.

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