Job Summary
We are seeking an experienced Senior Data Engineer to design, develop, and optimize enterprise data pipelines and AI-enabled data workflows. This role focuses on building scalable ETL solutions, integrating AI capabilities into enterprise platforms, and supporting data-driven analytics across regulated business environments. The ideal candidate will have strong expertise in Python, cloud-based data engineering, ETL development, and AI/ML workflow integration.
Key Responsibilities
• Design, develop, and maintain scalable ETL pipelines for data ingestion, transformation, and delivery across enterprise systems.
• Develop data engineering solutions supporting analytics, reporting, and AI-driven business use cases.
• Process and manage structured and unstructured data from multiple enterprise data sources.
• Collaborate with engineering, product, and data science teams to integrate AI solutions into enterprise platforms.
• Support AI development workflows including experimentation, model evaluation, deployment, optimization, and operationalization.
• Perform data preparation, feature engineering, and validation for AI and machine learning solutions.
• Ensure data quality, consistency, reliability, performance, and governance across enterprise data pipelines.
• Automate data processing workflows to improve operational efficiency and scalability.
• Monitor, troubleshoot, and optimize large-scale data processing pipelines.
• Develop and maintain technical documentation, data workflows, and implementation standards.
• Participate in architecture discussions and contribute to enterprise data platform improvements.
• Support deployment and maintenance of cloud-based analytics and AI solutions.
Required Qualifications
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent professional experience.
• Minimum 5 years of experience in Data Engineering, ETL Development, or related technical roles.
• Strong hands-on experience with Python for ETL development and data processing.
• Experience designing, developing, and maintaining enterprise data pipelines.
• Experience working with cloud-based or distributed data processing environments.
• Experience processing and optimizing large-scale datasets.
• Familiarity with AI and machine learning development workflows.
• Experience integrating AI solutions into enterprise applications.
• Strong troubleshooting, debugging, analytical, and problem-solving skills.
• Excellent communication and collaboration skills.
Preferred Qualifications
• Experience with enterprise AI tools and workflows, including Large Language Model (LLM) orchestration.
• Experience with prompt engineering and AI workflow automation.
• Experience working with AI copilots or enterprise AI platforms.
• Experience working in regulated enterprise environments.
• Experience collaborating with product, engineering, and data science teams.
• Experience supporting enterprise analytics, regulatory reporting, knowledge management, risk management, healthcare analytics, financial services, Legal Technology, or AI-enabled enterprise data platforms.
Education
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field.
• Equivalent hands-on experience in data engineering or AI/ML workflows may be considered in lieu of a degree.
