Data Engineer, Python

🕒 Outubro 13

⚔️ Virginia – Remoto

infoinfo

💵 $81.499 - $167.644 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🔙 Engenheiro Backend

🗣️🇺🇸🇬🇧 Inglês obrigatório

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ICF

5001 - 10000 funcionários

Fundada em 1969

💼 Consultoria

🏛️ Governo

🏥 Saúde

💰 $29.000.000 Grant em 2023-03

Consulting • Government • Healthcare

A ICF é uma empresa de consultoria global fundada há mais de 55 anos que faz parceria com governos, empresas e comunidades para oferecer soluções baseadas em dados e impulsionadas por tecnologia para desafios complexos do setor público e privado. Suas áreas de atuação incluem modernização digital, análise de dados, resiliência e adaptação, planejamento energético, programas federais de saúde, gestão de desastres e suporte a infraestrutura e transporte. A ICF fornece serviços de consultoria, implementação de programas e assessoria para promover resultados mensuráveis e fortalecer a resiliência comunitária.

Descrição

• Design, develop, test, and maintain data pipelines and transformation workflows using SQL, Python, Databricks, and cloud technologies • Develop and optimize PostgreSQL database objects, queries, data models, and data-access patterns • Build and maintain integrations supporting DataConnect reporting through AWS QuickSight and Databricks • Develop API services and reusable components for secure data access and system integration • Support extraction, transformation, and loading of data from multiple sources • Create and maintain data-quality checks, validation jobs, monitoring, and operational alerts • Troubleshoot data issues and improve pipeline reliability, performance, availability, and refresh timeliness • Write unit and integration tests for data-processing code and participate in code reviews • Translate technical specifications and business requirements into code, data designs, and implementation documentation • Collaborate with DevOps engineers on CI/CD, infrastructure as code, deployment, and environment support • Apply security and privacy controls for data at rest and in transit • Contribute to Agile planning, refinement, estimation, and continuous improvement activities • Perform other duties as assigned

🎯 Requisitos

• Bachelor's degree • 3+ years of hands-on software development or data engineering experience • 2+ years of experience developing data pipelines or data-processing solutions using SQL and Python or a comparable programming language • Hands-on experience with PostgreSQL and strong knowledge of relational database concepts and SQL • Experience working with cloud-based data platforms and version-controlled development workflows • Ability to read technical specifications and translate them into working code and documentation • Must be able to obtain and maintain a Public Trust clearance • Must reside in the United States • Must be authorized to work in the United States • Must have lived in the United States for three full years out of the last five years • Preferred: Experience developing data workflows on Databricks • Preferred: Experience creating datasets, dashboards, or reporting integrations with AWS QuickSight • Preferred: Experience with Spark, Airflow, AWS data services, or similar pipeline and orchestration technologies • Preferred: Experience building or supporting REST APIs • Preferred: Working knowledge of TypeScript • Preferred: Familiarity with CI/CD pipelines, GitHub Actions, Terraform, or other infrastructure-as-code tools • Preferred: Experience with data governance, metadata, data lineage, and secure data-sharing practices • Preferred: Experience working in Agile teams and using test-driven development practices

🏖️ Benefícios

• Equal opportunity employment • Reasonable accommodations for disabilities, religious beliefs, and disabled veterans • Benefit offerings referenced under the Transparency in Coverage Act

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