Data Engineer, Databricks

🕒 Agosto 4

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $113.000 - $188.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🚰 Engenheiro de Dados

🦅 Patrocina Visto H1B

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Guidehouse

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 2018

🏥 Saúde

🎖️ Defesa

📦 Logística

💰 Grant em 2023-02

Healthcare • Defense • Logistics

A Guidehouse é uma consultoria global que oferece serviços de consultoria, digitais e gerenciados nos setores comercial e público. Ela é projetada para apoiar indústrias como segurança nacional, serviços financeiros, saúde, energia e infraestrutura. A Guidehouse colabora com líderes para navegar na complexidade e impulsionar mudanças transformacionais que impactam o futuro. Sua expertise abrange análise de dados, tecnologias digitais, gestão de riscos e mais, com forte ênfase em sustentabilidade e inovação.

Descrição

• Design, build, and maintain scalable data pipelines using Databricks, PySpark, SQL, Delta Lake, and cloud-native data engineering tools • Develop and support batch and streaming data workflows, including ingestion, transformation, validation, and publishing curated data products • Write, optimize, and maintain Python, PySpark, and SQL code for data processing, orchestration, and performance tuning • Work with large-scale datasets using Databricks, Spark, Delta Lake, Unity Catalog, and cloud storage services • Troubleshoot data pipeline failures, performance issues, data quality issues, and workflow bottlenecks • Translate business and technical requirements into data engineering designs, processing scripts, and job orchestration workflows • Perform data validation, quality checks, code reviews, and issue resolution • Collaborate with solution architects, data scientists, analysts, DevOps engineers, and client stakeholders • Communicate technical concepts, delivery impacts, and data engineering considerations to technical and non-technical audiences • Document pipelines, datasets, data models, workflows, and engineering decisions • Follow data governance, security, lineage, and compliance standards within the Databricks platform • Support Guidehouse client projects involving large-scale data pipelines, data transformation, platform modernization, and advanced analytics and AI solution delivery

🎯 Requisitos

• Bachelor’s degree in computer science, engineering, mathematics, statistics, or another relevant field • 3-8 years of relevant experience in data engineering, data architecture, or cloud data platform implementation • Strong experience with Python, PySpark, and SQL • Experience with Databricks, Spark, Delta Lake, Unity Catalog, or similar cloud-native data platforms • Experience developing batch or streaming data pipelines and ETL/ELT workflows • Experience with data modeling, data warehousing, data quality validation, and large-scale data processing • Ability to troubleshoot technical issues and communicate engineering recommendations clearly • Experience applying data governance, access control, lineage, and security practices within cloud data platforms • 2+ years of hands-on Databricks platform experience (nice to have) • Experience using Unity Catalog for governance, schema design, data modeling standards, access controls, lineage, and secure enterprise data asset management (nice to have) • Experience with standard medallion data architectures (nice to have) • Active Databricks Data Engineer Associate, Databricks Data Engineer Professional, or related certification (nice to have) • Experience with CI/CD tools and practices (nice to have) • Experience with Azure, AWS, or GCP (nice to have) • Experience in project-based or consulting delivery environments (nice to have) • Familiarity with streaming frameworks, orchestration tools, Terraform, or related data platform administration capabilities (nice to have)

🏖️ Benefícios

• Competitive compensation • Flexible benefits package • Flexible work arrangements / virtual work flexibility within the United States • Equal Opportunity Employer protections • Reasonable accommodation support