Data Engineer - Latin America - Remote

Overview Be among the first 25 applicants. This position is posted by Jobgether on behalf of Azumo. We are currently looking for a Data Engineer in Latin America. As a Data Engineer, you will design, develop, and optimize scalable data infrastructure to power advanced analytics and machine learning initiatives. You will work closely with a collaborative team of engineers to build data pipelines, data warehouses, and BI platforms that transform raw information into actionable insights. This role offers the opportunity to work on cloud and on-premise architectures, using technologies like Spark, Kafka, and Snowflake, while contributing to high-impact projects in a fast-paced, remote-first environment. Your work will directly enable data-driven decision-making and innovation, helping organizations unlock the full potential of their data. The position encourages continuous learning, creative problem-solving, and professional growth. Accountabilities Design, implement, and maintain scalable data pipelines and analytics infrastructure Develop and optimize data warehouses, ETL processes, and BI platforms for high performance Collaborate with engineering and data science teams to ensure data quality, reliability, and accessibility Monitor and troubleshoot data workflows, identifying and resolving issues proactively Assist in integrating cloud-based and on-premise solutions for analytics and machine learning applications Contribute to best practices for data architecture, coding standards, and operational efficiency Support knowledge sharing, mentorship, and team development initiatives Requirements BS or Master's degree in Computer Science, Data Engineering, or related field, or equivalent experience 5+ years of experience in data engineering, analytics infrastructure, or data management Strong expertise in building data warehouses, big data systems, and ETL pipelines Proficiency with data processing frameworks such as Spark, Kafka, or similar Practical experience analyzing, visualizing, and transforming complex datasets Experience with cloud-managed services (Airflow, Glue, Snowflake, Redshift, BigQuery, Databricks, etc.) is a plus Familiarity with notebooks like Jupyter or Google Colab Self-motivated, detail-oriented, and passionate about problem-solving Strong communication skills and ability to work collaboratively in a fully remote team Benefits Paid time off (PTO) and U.S. holidays Training and professional development support, including Udemy Premium access Mentored career development and guidance for growth opportunities Free English courses Profit sharing and competitive USD-based remuneration Fully remote work with flexibility and opportunities to work with international teams Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. Our AI evaluates your CV and LinkedIn profile thoroughly, analyzes your skills, experience, and achievements. It compares your profile to the job\'s core requirements and past success factors to determine your match score. Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. The final decision and next steps are then made by the company\'s internal hiring team. Thank you for your interest! Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Non-profit Organizations and Primary and Secondary Education Referrals increase your chances of interviewing at Jobgether by 2x Sign in to set job alerts for “Data Engineer” roles. Bogota, D.C., Capital District, Colombia 1 day ago Bogota, D.C., Capital District, Colombia 1 week ago Bogota, D.C., Capital District, Colombia 6 months ago Chapinero, Capital District, Colombia 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr