InterScripts is an Information Technology business based in Chantilly, VA and established in 2017 providing technology and platform-enabled services and solutions. Historically, we have enabled our customers to realize the most value from their technology and resources through our Managed Services, Archival Solution, EHR, ERP, Advisory, Virtual Care, Technology, Application Development, and Cybersecurity services. With substantial experience in providing Technology and Platform Enabled solutions to commercial, public sector, and government entities, we are ISO 27001, 9001 CMMI 3 and SOC 2 certified. Job Description Location: Colombia – Medellín Office Work Model: Full-Time | Onsite (Work from Office Only) Department: Data Engineering / AI & Analytics Position Overview We are seeking a highly experienced Senior ETL Engineer with AI certifications who is bilingual (Spanish/English) and has advanced, fluent English communication skills to join our Colombia Medellín Office (onsite full-time). This role requires deep expertise in data engineering, scalable ETL architecture, and cloud-based data platforms, along with demonstrated AI/ML certification and hands‑on experience supporting AI-driven initiatives. The ideal candidate must be comfortable collaborating directly with U.S.-based teams and stakeholders. Key Responsibilities Data Engineering & ETL Development Design, develop, and optimize scalable ETL/ELT pipelines. Build robust batch and real-time data processing workflows. Ensure high data quality, integrity, and performance. Troubleshoot and resolve complex production data issues. AI & Machine Learning Enablement Prepare high‑quality datasets for AI/ML model training and deployment. Collaborate with Data Scientists to operationalize machine learning models. Support MLOps pipelines and automated model deployment processes. Implement monitoring and validation for AI‑driven data systems. Cloud & Big Data Architecture Develop cloud‑native data solutions (AWS, Azure, or GCP). Work with tools such as Spark, Databricks, Snowflake, BigQuery, or similar. Design and maintain data lakes, warehouses, and lakehouse architectures. Implement security, governance, and compliance best practices. Performance & Optimization Tune SQL queries and optimize large‑scale transformations. Improve pipeline efficiency and reduce latency. Ensure high availability and reliability of data platforms. Collaboration & Communication Work closely with U.S.-based engineering and AI teams. Communicate technical concepts clearly in English. Participate in cross‑functional design discussions and architecture reviews. Requirements Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field. 6+ years of hands‑on ETL/Data Engineering experience. Strong expertise in: Advanced SQL Python (required) Spark or distributed processing frameworks Cloud platforms (AWS, Azure, or GCP) Experience building data pipelines supporting AI/ML initiatives. Experience in production support and performance tuning. AI Certification Requirements (Preferred) Must hold at least one recognized AI certification, such as: AWS Certified Machine Learning – Specialty Microsoft Azure AI Engineer Associate Databricks Machine Learning Certification Strong Understanding Of Machine learning lifecycle Feature engineering Model deployment MLOps practices Language Requirement (Mandatory) Fully bilingual (Spanish & English). Advanced/Fluent English required (written and spoken). Must be comfortable leading technical discussions in English with U.S.-based stakeholders. #J-18808-Ljbffr