Data EngineerGreenwood Village CO Inperson Interview Mandatory (Core Requirements)8+ years of data engineering experience in large-scale environmentsStrong SQL (expert level) for transformations and performance tuningStrong Python for ETL/ELT and data pipelinesExperience with Spark (preferably Databricks)Hands-on experience with AWS (S3, Glue, EMR/Lambda, IAM) and RedshiftExperience building scalable data pipelines for AI/ML/analyticsExpertise in data modeling & architecture (lakehouse, dimensional models, etc.)Strong experience in data integration / stitching from multiple sourcesExperience with workflow orchestration tools (Airflow, Dagster, etc.)Knowledge of data governance, quality, lineage, and metadataExperience supporting AI/ML workloads (feature stores, training datasets, RAG/LLM basics)Ability to optimize cost and performance in cloud environmentsStrong collaboration with Data Scientists / AI EngineersSecondary (Preferred / Nice-to-Have)Experience in Fortune 100 or large enterprise environmentsFamiliarity with CI/CD, Infrastructure-as-Code, DataOps/MLOpsExperience using AI-assisted coding toolsExposure to BI tools like Tableau, Power BI, LookerAdvanced degree (Master's or higher)Deep experience with vector databases / RAG implementations (beyond basics)Strong business domain understanding and stakeholder alignment