Data Engineer

Join a dynamic data engineering team focused on building scalable, high-impact data solutions that help power analytics and reporting in a fast-paced environment. This fully remote opportunity offers the chance to work with modern cloud, data warehousing, and automation tools while collaborating with an international team. Responsibilities Design, develop, and maintain robust data pipelines using Azure and Snowflake. Build and optimize SQL stored procedures and macros to support complex data t

Design, develop, and maintain data pipelines to handle large and complex data sets using Big Data technologies such as Hadoop, Spark, and Kafka. Ensure that data pipelines are scalable, reliable, and performant, and that they adhere to data governance, data security, and data quality best practices. Help develop sustainable data solutions with current and leading next generation data technologies to transform business capabilities. Collaborate with end users to ensure data availability and acces

Data EngineerJob OverviewMedinext Global LLC is seeking a skilled Data Engineer with 1-3 years of professional experience to design, develop, and maintain data pipelines and data processing solutions. The ideal candidate will have hands-on experience with Python, SQL, ETL processes, databases, and cloud technologies. ResponsibilitiesDevelop and maintain scalable data pipelines and ETL workflows.Extract, transform, and load data from multiple sources.Write optimized SQL queries for data extractio

Job Title: Data Engineer (Databricks, Azure, Kafka) Location: Remote Job Type: W2 / C2C / 1099 Job Summary: We are looking for an experienced Data Engineer with 9+ years of experience to design, build, and maintain data pipelines using Databricks, Spark, and Azure cloud services. The ideal candidate has hands-on experience with modern data engineering tools, cloud automation, and event-driven architectures. Job Responsibilities: Design, develop, and optimize scalable data pipelines using Databri