Data Engineer Stf - E4

Overview As a Data Engineer, you will deliver end-to-end data solutions across the data lifecycle to enable scalable, fast data processing and secure access. You will work within Enterprise Business Services to design, implement, and optimize data pipelines and architectures that support analytics, AI/ML, and reporting. The role combines hands-on engineering with standards, security, and governance to ensure reliable data delivery. You’ll collaborate with cross-functional teams to translate business needs into robust data platforms and insights. Compensation / BenefitsMedicalDentalVisionFlexible work arrangements401(k) matchPaid time off ResponsibilitiesBuild and maintain end-to-end data pipelines (collect, ingest, transform, store, and deliver data)Design conceptual, logical, and physical data models and architect ETL/ELT solutionsAnalyze, profile, and prepare data for analysis; ensure data quality and performanceDefine standards, security, backup, and recovery specifications for data objectsMaintain system performance by troubleshooting production and development issues and optimizing parametersImplement data security principles including encryption and access controlDrive data solution lifecycle activities from requirements gathering to deployment and releaseEstablish best practices, standards, and certification processes for data objects Key requirements10+ years in data engineering including 3+ years supporting AI/ML systems5+ years in data analysis and data/system architectureExperience gathering requirements and understanding business processesProficiency in Python or NiFi or SQLExperience with distributed data processing frameworks (e.g., Spark)Hands-on experience building ETL/ELT pipelines at scaleKnowledge of data security principles, including encryption and access controlFamiliar with Safe Agile frameworkStrong team collaboration and customer-oriented mindsetExcellent organizational, time management, and analytical skillsProblem-solving and proactive learning mindsetPythonNiFiSQL