Data Engineer

🕒 Maio 2

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $135.000 - $155.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🚰 Engenheiro de Dados

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Element

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🏢 Corporativo

🏛️ Governo

☁️ SaaS

Enterprise • Government • SaaS

A Element é uma agência centrada no ser humano que estabelece parcerias com os setores governamental e comercial para criar experiências de usuário impactantes. Com um compromisso com a eficiência e a excelência, a Element foca em interações digitais que provocam mudanças positivas. A empresa oferece serviços em DevOps, apoiando a integração contínua e operações, FHIR para conformidade e interoperabilidade, e ciência de dados para transformar dados em insights acionáveis. A Element visa capacitar comunidades através da tecnologia e impulsionar a inovação.

Descrição

• Build and maintain high-volume, scalable data pipelines using Apache Kafka and Apache Spark, supporting both real-time and batch data processing needs. • Design, develop, and optimize data ingestion, transformation, and integration workflows across enterprise systems. • Ensure data quality, consistency, and integrity across four (4) disparate data sources, implementing validation, cleansing, and reconciliation processes. • Develop and maintain SQL-based data solutions, including complex queries, stored procedures, performance tuning, and data modeling. • Collaborate with data analysts, product owners, and application teams to define data requirements and ensure alignment with business needs. • Implement monitoring, logging, and alerting mechanisms to ensure reliability and observability of data pipelines. • Support data architecture design and contribute to best practices for scalable and secure data engineering solutions. • Ensure compliance with federal data governance, security, and privacy requirements. • Participate in Agile ceremonies and support iterative development and delivery of data capabilities. • Troubleshoot and resolve data pipeline issues, ensuring minimal disruption to downstream systems and reporting.

🎯 Requisitos

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or related field (or equivalent experience). • 3+ years of experience in data engineering, data integration, or related technical roles. • Strong hands-on experience with Apache Kafka for streaming data pipelines. • Strong experience with Apache Spark for large-scale data processing (batch and/or streaming). • Advanced SQL development experience, including complex queries, performance tuning, and data transformation logic. • Experience integrating and managing data across multiple heterogeneous data sources. • Experience working in the federal government or other highly regulated environments with security and compliance requirements. • Strong understanding of data quality management, data validation, and data governance practices. • Strong problem-solving and analytical thinking abilities. • Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders. • Strong attention to detail, especially in ensuring data accuracy and consistency. • Ability to work independently in a fast-paced, mission-driven environment. • Strong collaboration skills across cross-functional technical and business teams. • US Citizenship or Permanent Residency required. • Must reside in the Continental US. • Depending on the government agency, specific requirements may include public trust background check or security clearance.

🏖️ Benefícios

• health care • dental • vision • life insurance • 401(k) • paid time off including PTO, holidays, and any other paid leave required by law