• Diseñar, desarrollar, probar y desplegar pipelines y plataformas de datos utilizando servicios de AWS. • Construir y evolucionar arquitecturas de datos como data lake, lakehouse o data mesh. • Desarrollar soluciones de datos end to end, incluyendo frameworks reutilizables y no solo pipelines individuales. • Colaborar de forma activa con perfiles de Data Engineering, Analytics y DevOps para entregar soluciones de alto valor para el negocio. • Asegurar el cumplimiento de políticas de gobierno del dato, seguridad y gestión de la información. • Liderar la resolución de incidencias relacionadas con datos y participar en procesos de gestión del cambio, demostrando ownership de los proyectos desde su inicio hasta su entrega.

Who We Are Launchpad Technologies Inc. is a global technology partner connecting top talent with high-impact projects across North America and beyond. We specialize in Staff Augmentation and product development, helping companies scale with agility while empowering professionals to grow in meaningful, remote-first environments. Interested in building data solutions for top-tier companies? Join our Talent Community and stay on our radar for future opportunities. ⚠️ This is not an active opening. By applying, you'll be considered when a suitable role becomes available. 🔍 About You You bring experience with: - ETL/ELT workflows (Airflow, Glue, ADF, DBT, etc.) - Python, SQL, Spark - Cloud data stacks: AWS, Azure, or GCP - Data warehousing (Snowflake, Redshift, BigQuery, Synapse) 🌎 What We Look For - Experience designing or optimizing data pipelines - Strong software engineering fundamentals - Ability to collaborate with Data Science and Product teams - Excellent English and remote communication skills Does our work culture resonate with you? - 100% remote - People-first culture - Excellent compensation in US Dollars - Hardware setup for working from home - Work with global teams and prominent brands in North America, Europe, and Asia - Training allowances - Personal time off (PTO) for vacation, study leave, personal time, etc. - ...and more! Then apply now! ✨ Join our LATAM Talent Pool and we’ll reach out when the right project goes live. Compliance & Equal Opportunity Launchpad is an equal opportunity employer committed to creating an inclusive environment for all applicants. We do not discriminate on the basis of race, color, religion, gender identity, sexual orientation, age, disability, or any other protected status under applicable laws in Canada and British Columbia. All candidate information will be handled confidentially and used solely for recruitment purposes in accordance with applicable privacy regulations. Ready to make your mark? Apply now and be part of something exciting!

• Design, build, and maintain scalable data pipelines for ingestion, transformation, validation, and delivery • Write clean, efficient Python code using Pandas and PySpark for data processing • Optimize data workflows for performance, reliability, and cost • Automate data onboarding workflows to increase speed and consistency • Integrate client data with public and private data sources • Identify and resolve data quality issues across the pipeline lifecycle • Utilize AWS resources to manage data infrastructure • Support and improve pipeline orchestration and job execution • Contribute to system reliability, monitoring, and security best practices • Partner with engineering, data science, and product teams to deliver data solutions • Own projects from concept through production • Communicate clearly on progress, tradeoffs, and outcomes

Workstate is hiring a Senior Backend Developer! In this pivotal role, you will be responsible for building, optimizing and maintaining data pipelines using distributed computing on Cloud. The ideal candidate is an experienced data wrangler who can understand and optimize data systems from the ground up. The Data Engineer will support software developers, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture that is consistent throughout ongoing projects. You must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. Residents of Colombia or Argentina with the right to work in that country are eligible for this role. Responsibilities - Develop and operationalize scalable and reliable data pipelines. - Assemble large, complex data sets that meet functional and non-functional business requirements. - Experience in database management techniques including logical data modeling, physical database optimization and security. - Keep improving the integrity of data pipelines by setting up Data Quality checks to provide a comprehensive data service. - Work with Data and Analytics experts to strive for greater functionality in our data systems. - Experience with On-Call support and unblock users based on severity of the issue.