Data Engineer Stf

Overview As a Senior AI Data Engineer, you will design, build, and maintain scalable data pipelines and data warehouses to empower AI/ML initiatives. You will deliver enterprise-grade data platforms that support model training, feature stores, and data delivery across the organization. You’ll map data lifecycles, ensure security and access controls, and optimize performance in local, distributed, and cloud environments. This role offers impact across mission-critical analytics and collaboration with cross-functional teams to advance AI capabilities at scale. Compensation / BenefitsMedicalDentalVisionFlexible work arrangements401(k) matchPaid time off ResponsibilitiesDesign and implement end-to-end data solutions across the data lifecycle (collect, ingest, process, store, access, deliver)Build scalable ETL/ELT pipelines and data pipelines that prepare data for analysisMaintain and optimize data systems performance; troubleshoot production issues and apply upgradesDefine standards, best practices, and certification processes for data objectsDesign data models (conceptual, logical, physical) and support reporting and analyticsCollaborate with stakeholders to gather requirements and translate into technical solutions Key requirementsDegree in Computer Science, Systems Engineering, or related field10+ years in data engineering with 3+ years supporting AI/ML systems5+ years in data analysis or data/system architectureStrong proficiency in Python, NiFi, SQLHands-on experience building ETL/ELT pipelines at scaleFamiliar with Safe Agile frameworkTeam collaborationStrong analytical and problem-solving skillsCustomer orientation and relationship-buildingPythonNiFiSQL