Data Engineer

• Design, build, and deploy AI-driven solutions using Python, APIs, and enterprise platforms (e.g., ChatGPT, Agentforce, internal automation tools, Agentic AI Assistance) • Partner with business and analytics teams to identify and prioritize automation opportunities that streamline workflows and enhance decision-making • Integrate AI capabilities into existing enterprise systems and applications to improve operational efficiency • Develop, maintain, and optimize data pipeline, ETL workflows and integrations using Informatica, Azure Services, Microsoft Fabric, and Semantic Models for Power BI to ensure accurate, timely, and reliable data ingestion and transformation • Manage the enterprise Data Lake Architecture to support analytics, reporting, and AI model training, including ingestion, transformation, and overall data management • Uphold data governance standards, including lineage tracking, data quality, and documentation • Working knowledge of the Medallion Data Architecture • Build and maintain integrations between applications, databases, and cloud platforms using APIs, middleware, and native connectors (e.g., REST/GraphQL API) • Optimize data flow between operational, analytical, and AI systems to ensure scalability, performance, and security • Collaborate with IT and application teams to standardize integration patterns and enforce governance • Curate and publish high-quality datasets for analytics and visualization tools such as Power BI, including developing and maintaining semantic models and enterprise data schemas • Partner with business stakeholders to translate requirements into actionable data models and AI workflows • Enable self-service analytics and enhance business intelligence capabilities across the enterprise • Maintain clear and up-to-date documentation for technical specifications, data flows, integration architecture, and AI models • Enforce compliance with data security, access control, and governance frameworks • Implement monitoring and alerting for data quality, pipeline performance, and AI model accuracy • Adhere to Project Management Office (PMO) best practices • Support overall data governance, privacy, cybersecurity, and responsible AI practices

• Prolonged periods of sitting at a desk and working on a computer • Must be able to lift up to 15 pounds at times

• Competitive base salary and bonus • Health/Dental/Vision insurance • Company sponsored Life, AD&D, STD (with Salary Continuation), and LTD Insurance • Voluntary Enhanced LTD Program • Voluntary Hospital, Accident, and Cancer Programs • 401(k) with 100% match up to 5% • Paid parental leave • Pre-tax transit accounts • Employee Assistance Program for emotional, financial, and legal support