Data Engineer

Data Engineer
Greenwood village CO
Inperson Interview

Mandatory (Core Requirements)

• 8+ years of data engineering experience in large-scale environments
• Strong SQL (expert level) for transformations and performance tuning
• Strong Python for ETL/ELT and data pipelines
• Experience with Spark (preferably Databricks)
• Hands-on experience with AWS (S3, Glue, EMR/Lambda, IAM) and Redshift
• Experience building scalable data pipelines for AI/ML/analytics
• Expertise in data modeling & architecture (lakehouse, dimensional models, etc.)
• Strong experience in data integration / stitching from multiple sources
• Experience with workflow orchestration tools (Airflow, Dagster, etc.)
• Knowledge of data governance, quality, lineage, and metadata
• Experience supporting AI/ML workloads (feature stores, training datasets, RAG/LLM basics)
• Ability to optimize cost and performance in cloud environments
• Strong collaboration with Data Scientists / AI Engineers

Secondary (Preferred / Nice-to-Have)

• Experience in Fortune 100 or large enterprise environments
• Familiarity with CI/CD, Infrastructure-as-Code, DataOps/MLOps
• Experience using AI-assisted coding tools
• Exposure to BI tools like Tableau, Power BI, Looker
• Advanced degree (Master's or higher)
• Deep experience with vector databases / RAG implementations (beyond basics)
• Strong business domain understanding and stakeholder alignment