getSummary
Written in English from the original postingSenior Data Engineer contract role for LATAM-based candidates, fully remote with a US-based client. The role focuses on designing, building, and maintaining scalable data pipelines, data models, data lakes, and data warehouses using Databricks, PySpark, SQL, and modern cloud platforms. It requires 5+ years of data engineering experience, strong English communication skills, and experience with data quality, governance, monitoring, and performance optimization.
Job description
Senior Data Engineer (Databricks) – LATAM Remote | Contractor | Full-Time IT Tech Hub is looking for a Senior Data Engineer based in LATAM to join one of our US-based clients on a full-time remote engagement. We are seeking a highly skilled Data Engineer with strong experience in Databricks, Azure, and modern data platforms to help design, build, and optimize scalable data solutions. This is a great opportunity to work with cutting-edge technologies, collaborate with international teams, and contribute to high-impact data initiatives in a fully remote environment. Responsibilities Design, build, and maintain scalable data pipelines and ETL/ELT processes. Develop and optimize data solutions using Databricks, PySpark, and SQL. Work with large-scale datasets to support analytics, reporting, and business intelligence initiatives. Design and maintain data models, data lakes, and data warehouses. Collaborate with data analysts, software engineers, and business stakeholders to deliver reliable data solutions. Ensure data quality, integrity, governance, and security across platforms. Optimize performance and cost efficiency of data processing workloads. Support data platform monitoring, troubleshooting, and continuous improvement initiatives. Participate in architectural discussions and technical decision-making. Requirements 5+ years of experience as a Data Engineer. Strong hands-on experience with Databricks and PySpark. Solid experience with SQL and data modeling. Experience building and maintaining modern ETL/ELT pipelines. Experience working with cloud platforms, preferably Azure. Strong understanding of data warehousing and data lake architectures. Experience with Git, CI/CD practices, and data engineering best practices. Advanced English communication skills. Ability to work independently in a remote, fast-paced environment. Nice to Have Experience with Azure Data Factory, Synapse Analytics, or Delta Lake. Experience with streaming technologies such as Kafka or Event Hubs. Knowledge of Terraform or Infrastructure as Code concepts. Experience working with US-based clients or distributed teams. Exposure to machine learning or analytics platforms. Experience with Python-based data frameworks. What We Offer Fully remote opportunity for LATAM-based candidates. Full-time engagement. Long-term collaboration potential. Exposure to modern cloud and data platforms. International team environment. Competitive compensation in USD. If you're a senior Data Engineer with strong Databricks experience looking for your next remote opportunity with a US client, we'd love to hear from you.