Data Engineer

🕒 Março 18

🏄 California, Florida, +3 estados a mais – Remoto

🏄 California – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🤠 Texas – Remote

💵 $140.000 - $180.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🚰 Engenheiro de Dados

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Chord

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🛍️ Comércio Eletrônico

🤖 Inteligência Artificial

☁️ SaaS

eCommerce • Artificial Intelligence • SaaS

A Chord é uma empresa de inteligência de dados que oferece uma plataforma abrangente de dados para comércio, projetada para capacitar marcas com ferramentas para explorar seus dados de forma eficaz. Ao fornecer uma infraestrutura de dados unificada e pronta para IA, a Chord permite que as marcas tomem decisões informadas, otimizem suas estratégias de produto e melhorem suas campanhas de marketing. A plataforma integra a coleta, interpretação e harmonização de dados para transformar dados brutos em insights acionáveis. Através de análises avançadas, personalização impulsionada por IA e integrações contínuas, a Chord apoia os players de comércio a alcançarem um crescimento sustentável em um mercado competitivo. A empresa se especializa em modernizar a gestão de pedidos, o manuseio de assinaturas e a precificação dinâmica para otimizar e aprimorar a experiência de comércio digital.

Descrição

• Build and maintain scalable, best-in-class data infrastructure and pipelines that serve as core components of a multi-tenant data platform. • Ensure our data pipelines and data warehouse are optimized for accuracy, performance, and accessibility. • Manage architecture frameworks and participate in the development of data, experimentation, and analytics solutions in collaboration with cross-functional partners in the Product and Engineering organizations. • Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it. • Test and clearly document data assets and warehouse implementations to enable others to understand the implementation and definition of data methodologies easily. • Design data integrations and a data quality framework. • Work closely with Product and Engineering teams to develop a strategy for long-term data platform architecture.

🎯 Requisitos

• Demonstrated ability to build, manage, and optimize core data infrastructure at scale in a multi-tenant environment. • A propensity to independently identify opportunities for optimization and drive forward high-impact projects with minimal guidance. • Proficiency in SQL and strong programming skills in Python, with experience in Bash scripting for automation and workflow management. • Deep knowledge and experience with Snowflake and advanced features like Snowpipes, storage integrations, stages, streams, tasks. • Experience with the AWS ecosystem and securely deploying and managing applications using serverless tools like ECS and Lambda. • Experience building and maintaining custom ingestion pipelines using tools like dlt or requests. • Ingest data from third-party APIs and custom ingestion pipelines with Dagster and Snowflake (Snowpipe, streams, and tasks). • Proficiency with workflow orchestration tools (Dagster or similar tooling like Airflow or Prefect) and data transformation tools (dbt). • Experience with DataOps tools, such as Docker, GitHub Actions, and Terraform. • Experience with AI or ML is a plus.

🏖️ Benefícios

• An investment in your physical and mental well-being; we offer 100% employee Medical Benefits coverage, with 69% dependent coverage. • Flexible PTO; we encourage you to take the time you need to be your best self at work. • An onboarding package and annual work from home stipend to ensure you have everything you need to be successful while working remote. • Generous Parental Leave with customizable transition back to work program. • The benefits of working from home, with opportunities to spend quality time with the team at Chord in-person events throughout the year.