Want to put your job search on autopilot? Join our platform, complete a 6-minute AI screening interview, and get auto-applied to 100s of high-paying roles.Sign up now at https://app.calyptus.co/auth/candidate/sign-up and let the opportunities come to you.You’re a perfect match if you have:3+ years experience with data engineering in enterprise environmentsStrong proficiency in Python and SQL for data processing and transformationExperience with ETL/ELT tools and data integration patternsKnowledge of enterprise data standards and APIs (REST, GraphQL, SOAP)Understanding of data privacy, security, and access control best practicesExperience with cloud platforms (AWS, Azure, GCP) and data infrastructureFamiliarity with containerization and orchestration toolsBachelor's degree in Computer Science, Engineering, Data Science, or related fieldYour day-to-day activities:Design and build data pipelines that integrate diverse enterprise data sources for AI processingDevelop connectors and adapters for enterprise systems (CRM, ERP, document management, databases)Implement data quality frameworks and validation systems for AI model inputsCreate secure data handling workflows that support global development teamsBuild data transformation pipelines that prepare unstructured and structured data for AI modelsEstablish data governance and lineage tracking for compliance and audit requirementsOptimize data processing workflows for scale and performanceCollaborate with data scientists and AI engineers to ensure data meets model requirementsWant to put your job search on autopilot? Join our platform, complete a 6-minute AI screening interview, and get auto-applied to 100s of high-paying roles.Sign up now at https://app.calyptus.co/auth/candidate/sign-up and let the opportunities come to you.