Data Engineer

VITAL SAÚDE &SEGURANÇA DO TRABALHO; United States; Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Performance incentives

Professional development

Hybrid work

Job summary

VITAL SAÚDE &SEGURANÇA DO TRABALHO is seeking a data engineer to design, develop, and maintain scalable data pipelines and architectures supporting analytics initiatives. You will integrate data from multiple sources, ensure data quality, and collaborate with analysts to define data requirements.

The role emphasizes ETL processes, data warehousing concepts, and cloud platforms. You will monitor systems, document processes, and work in a fast-paced, collaborative environment with flexible or

Qualifications

• Bachelor's degree in CS, Data Engineering, IS, or related field.
• Proven experience with SQL, Python, and data pipeline frameworks.
• Strong understanding of data warehousing concepts and cloud platforms.

Responsibilities

• Design, develop, and maintain scalable data pipelines and architectures.
• Integrate data from multiple sources ensuring quality and reliability.
• Collaborate with analysts/scientists to define data requirements and optimize workflows.
• Implement ETL processes and monitor data systems for performance and security.

Skills

SQL expertise

Python programming

Analytical thinking

Communication skills

Independent / collaborative work

Education

Bachelor's degree in Computer Science / Data Engineering / IS

Tools

Spark

Hadoop

Kafka

AWS

Azure

GCP

Job description

Design, develop, and maintain scalable data pipelines and architectures to support analytics and business intelligence initiatives. Integrate data from multiple sources, ensuring consistency, reliability, and data quality. Collaborate with data analysts, scientists, and other stakeholders to define data requirements and optimize data workflows. Implement ETL (Extract, Transform, Load) processes for structured and unstructured data. Monitor and troubleshoot data systems to ensure performance, security, and efficiency. Document data processes, system configurations, and best practices.

Requirements

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field.
• Proven experience with SQL, Python, and data pipeline frameworks.
• Strong understanding of data warehousing concepts and cloud platforms (e.g., AWS, Azure, or Google Cloud).
• Experience with big data technologies such as Spark, Hadoop, or Kafka is an advantage.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work both independently and collaboratively in a fast-paced environment.

Benefits

• Competitive salary and performance-based incentives.
• Opportunities for professional development and technical training.
• Innovative and collaborative work culture.
• Flexible or hybrid working arrangements.