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You're a perfect match if you have:
3+ years experience with data engineering in enterprise environments
Strong proficiency in Python and SQL for data processing and transformation
Experience with ETL/ELT tools and data integration patterns
Knowledge of enterprise data standards and APIs (REST, GraphQL, SOAP)
Understanding of data privacy, security, and access control best practices
Experience with cloud platforms (AWS, Azure, GCP) and data infrastructure
Familiarity with containerization and orchestration tools
Bachelor's degree in Computer Science, Engineering, Data Science, or related field
Your day-to-day activities:
Design and build data pipelines that integrate diverse enterprise data sources for AI processing
Develop connectors and adapters for enterprise systems (CRM, ERP, document management, databases)
Implement data quality frameworks and validation systems for AI model inputs
Create secure data handling workflows that support global development teams
Build data transformation pipelines that prepare unstructured and structured data for AI models
Establish data governance and lineage tracking for compliance and audit requirements
Optimize data processing workflows for scale and performance
Collaborate with data scientists and AI engineers to ensure data meets model requirements
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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 and let the opportunities come to you.