Senior Data Engineer

🔥 22 horas atrás

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $155.000 - $180.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 3%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 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

Vultr

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2014

🤖 Inteligência Artificial

🤝 B2B

🔧 Hardware

💰 $329.000.000 Debt Financing - Vultr em 2025-06

Artificial Intelligence • B2B • Hardware

A Vultr é um provedor global de infraestrutura em nuvem que oferece máquinas virtuais sob demanda, servidores bare-metal, instâncias aceleradas por GPU, bancos de dados gerenciados, armazenamento de objetos e em blocos, Kubernetes e serviços de rede. A plataforma enfatiza cargas de trabalho de IA e HPC com uma ampla seleção de GPUs AMD e NVIDIA, rede rápida e mais de 32 regiões de data centers, além de um marketplace de aplicativos implantáveis e APIs amigáveis para desenvolvedores. A Vultr tem como público-alvo desenvolvedores e empresas que buscam alternativas de computação e armazenamento em nuvem acessíveis, escaláveis e em conformidade com os regulamentos em relação aos hyperscalers.

Descrição

• Build and operate pipelines from operational systems into BigQuery, using incremental loading and change data capture where appropriate • Develop bronze, silver, and gold datasets, including shared business entities and reporting metrics • Automate data validation and source-to-target reconciliation • Ensure updates, deletes, and historical source corrections reach downstream datasets • Monitor pipeline health, handle exceptions and schema changes, and document recovery procedures and lineage • Partner with BI and data science teams to deliver documented, performant datasets • Work with Engineering and business system owners to resolve source-data gaps and define reliable data handoffs • Propose and implement data engineering standards for testing, deployment, security, and cost management within the agreed enterprise architecture • Assess existing pipelines and establish repeatable engineering practices • Deliver production datasets for priority reporting needs • Put initial quality controls and monitoring in place • Demonstrate that historical source corrections are reflected accurately in downstream reporting

🎯 Requisitos

• 5+ years of data engineering experience, including ownership of production pipelines • Advanced SQL and strong Python skills • Production BigQuery experience, including partitioning, clustering, query performance, and cost management • Experience with data transformation and orchestration tools such as dbt, Airflow, Cloud Composer, Dagster, or equivalents • Experience extracting from operational databases and handling incremental loads, updates, deletes, backfills, and historical corrections • Strong understanding of dimensional modeling and historical data tracking • Experience with automated data quality checks, reconciliation, monitoring, alerting, and recovery • Experience with Git, code review, automated testing, and CI/CD • Ability to work across Engineering, analytics, and business teams • Experience with MySQL, ClickHouse, Kafka, or Google Pub/Sub • Familiarity with Parquet, storage efficiency, and Spark or PySpark • Ability to trace data definitions and business logic through application code or an ORM; familiarity with PHP is a plus • Experience with Salesforce, NetSuite, Power BI, or comparable systems • Familiarity with IAM, service accounts, least-privilege access, and secure workload authentication • Experience with metadata, lineage, or data observability tools • Experience applying AI or automation to pipeline operations, incident investigation, or governed data access for LLM applications • Experience in cloud infrastructure, telecommunications, data centers, or another asset-intensive environment

🏖️ Benefícios

• 100% company-paid insurance premiums for employee medical, dental and vision plans • 401(k) plan that matches 100% up to 4%, with immediate vesting • Professional Development Reimbursement of $2,500 each year • 11 Holidays + Paid Time Off Accrual + Rollover Plan • Increased PTO at 3 year and 10 year anniversary • 1 month paid sabbatical every 5 years • Anniversary Bonus each year • $500 stipend for remote office setup in first year + $400 each following year • Internet reimbursement up to $75 per month • Gym membership reimbursement up to $50 per month • Company paid Wellable subscription