Data Engineer, Python

🕒 Outubro 12

⚔️ Virginia – Remoto

⚔️ Virginia – Remote

💵 $81.499 - $167.644 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🔙 Engenheiro Backend

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 10%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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ICF

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 1969

🏥 Saúde

📦 Logística

📣 Marketing

💰 $30.000.000 Grant em 2021-03

Healthcare • Logistics • Marketing

A ICF é uma empresa global de consultoria e serviços de tecnologia que ajuda clientes governamentais e comerciais a enfrentar desafios complexos. A empresa oferece expertise em áreas como modernização de TI federal, energia e utilidades, saúde pública, resiliência climática, gerenciamento de desastres e transporte. A ICF aproveita dados e análises, inteligência artificial e cibersegurança para entregar soluções inovadoras. Com um forte compromisso com a cidadania corporativa e a sustentabilidade, a ICF apoia programas sociais e desenvolvimento comunitário, visando um futuro sustentável com baixas emissões. A empresa opera globalmente, com presença significativa na Europa através de seus escritórios na Bélgica, Espanha e Reino Unido.

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 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 • Develop and support reliable data pipelines, database solutions, and reporting integrations across PostgreSQL, SQL, Databricks, and AWS QuickSight • Partner with senior engineers, data scientists, analysts, and DevOps team members

🎯 Requisitos

• Bachelor's degree • 3+ years of hands-on software development or data engineering experience • Candidate must be able to obtain and maintain a Public Trust clearance • Candidate must reside in the United States • Candidate must be authorized to work in the United States • Candidate must have lived in the United States for three full years out of the last five years • 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 • 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 • All candidates must be authorized to work in the United States • This position is not eligible for new H-1B visa sponsorship by ICF

🏖️ Benefícios

• Reasonable accommodations for disability, religious purposes, disabled veterans, individuals with disabilities, and sincerely held religious beliefs • Equal opportunity employment • Benefit offerings referenced through the Transparency in Benefits Coverage Act