Senior Data Engineer

🕒 Maio 23

🦀 Maryland – Remoto

🦀 Maryland – Remote

💵 $115.000 - $125.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 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

Blend360

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

🤖 Inteligência Artificial

🏢 Corporativo

💰 $100.000.000 Private Equity Round em 2022-08

Artificial Intelligence • Enterprise • Consulting

A Blend360 é uma empresa de serviços profissionais especializada em soluções de IA, análise de dados e soluções orientadas por dados. Eles trabalham com empresas da Fortune 1000 e grandes marcas empresariais para enfrentar desafios significativos, integrando pessoas e inteligência artificial. A Blend360 foca em vários domínios, incluindo inteligência de negócios, engenharia de dados, ciência de dados, MLOps e governança de dados. Suas indústrias de expertise englobam serviços financeiros, energia, saúde e ciências da vida, varejo, tecnologia, mídia & telecomunicações e viagens & hospitalidade. A Blend360 é reconhecida por suas soluções de IA e dados, tendo recebido prêmios como "Solução do Ano em Capacitação de IA" e sendo listada entre os "Principais Provedores de Serviços de IA Generativa de 2024.

Descrição

• Design, develop, and optimize scalable data pipelines supporting enterprise healthcare analytics and reporting initiatives • Build and automate ingestion frameworks for structured and semi-structured healthcare data sources • Develop and expand semantic data layers in GCP and BigQuery to support trusted, consistent analytics consumption across business teams • Design and implement scalable ELT/ETL workflows using modern cloud-native architecture patterns • Automate orchestration, monitoring, and operational processes across the data platform • Partner with architects, analytics teams, and business stakeholders to translate requirements into scalable technical solutions • Optimize BigQuery performance, partitioning, and query efficiency to improve scalability and cost management • Implement engineering best practices for testing, observability, reliability, deployment automation, and operational support • Contribute to data governance, metadata management, and data quality initiatives across the platform • Mentor junior engineers and contribute to a collaborative, high-performing engineering culture

🎯 Requisitos

• 5+ years of experience in data engineering or cloud data platform development • Strong expertise in Google Cloud Platform (GCP), including: BigQuery, Cloud Storage, Cloud Composer or orchestration tooling, Dataflow or modern ingestion frameworks • Experience designing and building scalable data ingestion and pipeline automation solutions • Strong understanding of semantic layer development and dimensional modeling concepts • Advanced SQL and Python development skills • Experience with ELT/ETL pipeline design, orchestration, and optimization • Familiarity with CI/CD pipelines, infrastructure automation, and cloud engineering best practices • Strong understanding of data quality, observability, and operational reliability principles • Experience working within healthcare data ecosystems and regulated enterprise environments preferred • Familiarity with healthcare analytics platforms, payer/provider data models, or healthcare interoperability standards • Experience supporting enterprise BI and analytics initiatives • Consulting or client-facing delivery experience strongly preferred.

🏖️ Benefícios

• medical • dental • vision • 401K • PTO • paid holidays • commuter benefits • spending accounts • life insurance • disability coverage • EAPs