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Data Engineer at Launchpad Technologies. . Location: Latam. 📊 Senior Data Engineer – Scalable Pipelines for AI Agent Infrastructure. . We’re looking for a Senior Data Engineer to design, build, and maintain the data foundation behind our next-generation AI agent platform. You’ll work closely with AI/ML teams to power training, inference, and continuous learning through highly scalable data pipelines and cloud-native architectures.. . If you’re passionate about data infrastructure, performance optimization, and driving data quality at scale, we want to hear from you.. . . 🗓 . Start date. : ASAP. 📆 . Contract type. : Contractor - Indefinite. 🌐 . Work hours. : Monday to Friday, 7.30 am to 4.30 pm PST - 100% Remote. . . . 🛠️ What You’ll Be Doing. . . Build scalable ETL/ELT pipelines to support AI agent training and inference.. . Integrate data from diverse sources (APIs, databases, real-time streams).. . Design high-performance data models using PostgreSQL and Snowflake.. . Optimize SQL queries for large datasets and data warehouse workloads.. . Implement data validation, cleansing, and monitoring workflows.. . Automate data engineering tasks and contribute to CI/CD pipelines.. . Collaborate with AI/ML engineers and product teams to align data with business needs.. . Document processes, pipelines, and infrastructure decisions clearly.. . . . ✅ What You Need to Succeed. . Must-haves. . . 5+ years of experience in Data Engineering or Data Infrastructure roles.. . Strong command of: . . ETL frameworks: Airflow, DBT, Spark. . Databases: PostgreSQL, Snowflake. . Cloud & DevOps: AWS (S3, EC2), Linux, Docker. . CI/CD: GitHub, Jenkins or similar. . Programming: Python (data-focused scripting). . . . Deep knowledge of SQL performance tuning, data warehousing, and data quality practices.. . Experience with data security and managing large-scale database environments.. . Comfortable working in cross-functional teams and agile environments.. . . Nice-to-haves. . . Experience with AWS RDS, MWAA, Lambda.. . Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines.. . Exposure to prompt engineering, LLM workflows, or AI/ML data operations.. . Data Engineering certification (GCP, AWS, or equivalent).. . . . 🧭 Our Recruitment Process. . Here’s what to expect from our candidate-friendly interview process:. . . . Initial Interview. – 60 minutes with our Talent Acquisition Specialist. . . . Culture Fit. – 30 minutes with our Team Engagement Manager. . . Technical Assessment. - Python Coding + Multiple Choice questions. . . Final Stage. – 60 minutes with the Hiring Manager (Technical Interview). . . . . 🌟 Why Join Launchpad?. . We believe that great work starts with great people. At Launchpad, we offer:. . . . 💻 Fully remote work with hardware provided. . . . 🌎 Global team experience with clients in [regions]. . . . 💸 Competitive USD compensation. . . . 📚 Training and learning stipends. . . . 🌴 Paid Time Off (vacation, personal, study). . . . 🧘‍♂️ A culture that values autonomy, purpose, and human connection. . . . . ✨ Join us and help shape the future of intelligent systems—one data pipeline at a time..  . .