Data Engineer

buscojobs Brasil; Amapá; Teletrabalho; BRL 20.000 - 80.000; Tempo integral

Resumo da oferta

A leading company is seeking a Data Engineer for a long-term global clinical research initiative. This remote role involves managing data pipelines and ensuring data quality for impactful research. Ideal candidates have 3-7 years of relevant experience and strong skills in Python and SQL, with an eagerness to work in a fast-paced environment.

Qualificações

• 3–7 years of experience as a Data Engineer or similar role.
• Strong proficiency in Python and SQL required.
• Experience with large-scale data pipelines and clear communication skills in English.

Responsabilidades

• Collect and ingest large volumes of real-world data.
• Perform detailed quality checks to ensure data accuracy.
• Build and maintain data pipelines for complex datasets.

Conhecimentos

Python

SQL

Data Pipeline Management

Quality Control

Communication

Independent Work

Descrição da oferta de emprego

We’re looking for a Data Engineer to join a long-term globalclinical research initiative!

This is afantastic opportunity for a Data Engineer who is hands-on, proactive,and comfortable working in a collaborative, remote environment. Therole will initially span 6 to 12+ months , but is expectedto extend for several years .

In this position,you’ll support the full lifecycle of real-world clinical and imagingdata — from acquisition and quality control to processing andorganization — helping to enable data-driven insights for high-impactresearch programs.

What You'll Do:

• Collect and ingest large volumes of real-world data (RWD),including medical imaging and related annotations
• Performdetailed quality checks to ensure accuracy, completeness, andconsistency
• Build and maintain data pipelines to structureand prepare complex datasets
• Clean, transform, and normalizeraw data for downstream research analysis
• Work closely withData Scientists to prepare specific curated subsets for focusedanalysis
• Document data sources, processing steps, and qualitycontrol procedures

Ideal Profile:

• 3–7 years of experience as a Data Engineer or similar role
• Strong proficiency in Python and SQL (required)
• Experience working with large-scale data pipelines
• Clear and confident communication skills in English (written and verbal)
• Ability to work independently and managemultiple data workflows in parallel
• Self-motivated and eagerto work in a fast-paced, research-oriented environment

Nice to Have (Not Required):

• Experience with medical data , imaging (DICOM), clinical research , or pharmaceutical environments

Remote opportunity | Englishfluency required

This is a chance to be partof meaningful work with long-term potential. If this sounds like amatch, apply through the link. Let’s connect!