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Senior Data Engineer - Talent Connection (Remote - Latam) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer - Talent Connection in Latin America.. This role offers a unique opportunity to leverage data engineering expertise to support impactful healthcare solutions. You will analyze and validate complex datasets, deploy new data sources, and work closely with both internal teams and external clients to drive meaningful improvements. Operating in a fully remote, collaborative environment, you will manage projects, ensure quality, and contribute to optimizing processes using cutting-edge cloud and data technologies. This position emphasizes autonomy, innovation, and proactive problem-solving while fostering collaboration across teams. Ideal candidates are experienced, detail-oriented, and comfortable working with large-scale data pipelines and advanced analytics in a fast-paced setting.. . Accountabilities. As a Senior Data Engineer, you will:. . Perform analyses to support organizational and client improvement initiatives.. . Conduct data validation tests to ensure accuracy, quality, and compliance.. . Collaborate with clients, clinicians, and internal teams to enhance healthcare outcomes.. . Manage assigned projects, ensuring they are delivered efficiently, on time, and meet project requirements.. . Ensure all work aligns with organizational standards, principles, and best practices.. . Proactively identify opportunities to optimize data processes and workflows.. . The ideal candidate will have:. . Bachelor’s Degree in Computer Science, Engineering, or a related field.. . 7+ years of experience in Data Engineering.. . 5+ years of experience with SQL and Python.. . 2+ years of experience with Cloud platforms (AWS, Azure, or similar).. . 2+ years of experience with ETL processes and Databricks.. . 2+ years of experience working in Agile environments (Scrum, Kanban).. . Advanced English proficiency to communicate effectively with US-based clients.. . Nice-to-have:. . Experience with large-scale healthcare data or claims processing.. . Familiarity with data quality frameworks, monitoring, and pipeline automation.. . Strong project management and stakeholder communication skills.. . . Company Location: Argentina.