Senior Data Engineer, ETL, Python Developer

🕒 Agosto 21

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

📊 Engenheiro de Analytics

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

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☁️ SaaS

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A CSpring oferece as soluções e a expertise necessárias para alcançar metas de negócios habilitadas por tecnologia. Nossa equipe de consultores em tempo integral foca em soluções orientadas por dados que alinham metas de negócios com tecnologia e tornam a informação acessível, confiável e envolvente.

Descrição

• Design, develop, and maintain enterprise ETL pipelines using Azure Data Factory, Informatica PowerCenter, and Python-based frameworks • Build and optimize scalable data processing solutions using Python, Spark, and Databricks • Write and optimize SQL and stored procedures across Snowflake, Oracle, and SQL Server • Apply data engineering best practices for performance, reliability, reusability, and security • Support Medicaid analytics and federal reporting initiatives, including T-MSIS, PERM, MARS, and Quality of Care • Develop robust data validation, reconciliation, and audit-traceable data pipelines • Collaborate with analysts, QA, and reporting teams to ensure data quality, accuracy, and timeliness • Participate in cloud migration and modernization initiatives within Azure-based architectures • Support production operations, incident resolution, and root cause analysis • Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub

🎯 Requisitos

• 5+ years of data engineering experience focused on enterprise data warehousing • 5+ years of hands-on ETL development using Informatica PowerCenter, Teradata, Azure Data Factory, or similar tools • 5+ years of Python development for data engineering and automation • 5+ years of Teradata experience, including Teradata loader utilities • 3+ years of experience with Spark-based processing frameworks, such as Databricks or equivalent • Solid SQL expertise and experience with relational databases such as Snowflake, Oracle, and SQL Server • 3+ years of experience with Snowflake using SnowSQL and Snowpark (Python) • Experience with source control and DevOps practices, including Azure DevOps, GitHub, and CI/CD • Proven solid analytical, problem-solving, and troubleshooting skills • Periodic travel may be required based on project or customer needs • Bachelor's degree or higher in Computer Science, Engineering, Analytics, or a related field preferred • Azure certifications related to data engineering or analytics preferred • Experience supporting State Medicaid EDW or MMIS analytics environments preferred • Healthcare or public sector analytics experience, with Medicaid / Medicare preferred • Data modeling experience in enterprise data warehouse environments preferred • Scripting experience with PowerShell or Bash for automation and orchestration preferred • Experience designing or consuming REST APIs within data platforms preferred • Familiarity with data quality frameworks, reconciliation, and audit support preferred

🏖️ Benefícios

• Purposeful projects improving systems that serve real people • People-first culture with support, autonomy, and community • Growth and career development opportunities • Strategic, hands-on work across data architecture, documentation, client workshops, and solution delivery • Collaborative, integrity-driven client partnerships • Fully remote work arrangement

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