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Senior Data Engineer (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 in Latin America.. This role offers the opportunity to play a key part in shaping a scalable and reliable data platform in a fast-growing, fully remote environment. As a Senior Data Engineer, you will design, implement, and maintain data pipelines and models that drive critical analytics and business insights. You will collaborate closely with analysts, engineers, and stakeholders to translate business needs into technical solutions while ensuring data accuracy, usability, and governance. The role emphasizes ownership, mentorship, and hands-on technical excellence, giving you the chance to influence architectural decisions and best practices. You will work with modern tools and frameworks, contribute to continuous improvement, and support data-driven decision-making across the organization. This position provides autonomy, professional growth, and the opportunity to make a tangible impact on meaningful projects.. . Accountabilities. . Design, build, and maintain robust ETL/ELT pipelines to ingest, transform, and serve data from multiple sources.. . Develop and optimize scalable data models to support analytics, reporting, and business intelligence initiatives.. . Ensure data quality, consistency, and usability, transforming raw data into actionable insights.. . Mentor and guide junior engineers, promoting best practices in coding, data modeling, and pipeline design.. . Support the creation of ready-to-use data for analysts and stakeholders by building reporting foundations and dashboards.. . Document data flows, schemas, and system processes clearly to maintain transparency and knowledge sharing.. . Deploy datasets, reports, and dashboards for wider consumption, ensuring reliability and performance.. . Conduct regular performance audits on pipelines, databases, and dashboards, implementing optimizations as needed.. . Work effectively within an agile development environment, participating in continuous improvement and iterative development.. . . . 5+ years of hands-on experience as a Data Engineer, building and managing production-scale data systems.. . Strong proficiency in SQL, Python, dbt, and Airflow.. . Extensive experience with relational databases, particularly PostgreSQL (or MySQL/Oracle).. . Familiarity with data visualization tools such as Superset, Tableau, or PowerBI.. . Solid understanding of software engineering principles, including modular code design, testing, and version control (Git).. . Proven problem-solving skills with the ability to independently tackle complex technical challenges.. . Excellent communication skills for collaborating with both technical and non-technical stakeholders.. . Experience working in agile development environments and contributing to iterative improvement.. . Bonus: experience with Ruby, SaaS platforms, or the nonprofit/fundraising technology sector.. . Company Location: Colombia.