Data Engineer II
San DiegoLast seen today
Summary
Lead the design and delivery of analytics and data engineering solutions for workforce and human capital challenges across client industries. Build and maintain scalable data pipelines, dashboards, and reporting frameworks using SQL, Python, Tableau, and modern data platforms like Databricks or Snowflake. Translate business problems into structured analytical approaches, incorporate AI and machine learning capabilities, and communicate findings to both technical and non-technical stakeholders. Requires 2+ years of data engineering or analytics experience, 2+ years with modern data/AI engineering (modeling, batch/streaming pipelines, feature engineering), and 1+ years with machine learning or LLM applications.
Data ScienceDevOps / InfrastructureAWSAzurePythonSQLAIBatch ProcessingData GovernanceData ModelingData QualityDatabricksETLFeature EngineeringGCPGenerative AILLM Large Language ModelsLlmopsMachine LearningMlopsModel MonitoringOracle HcmPrompt ManagementRRAG Retrieval Augmented GenerationSalesforceSap SuccessfactorsSnowflakeStatistical ModelingStreaming PipelinesTableauVector DatabasesWorkday