Data Eng

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profile Job Location:

Greenwood Village, CO - USA

profile Monthly Salary: Not Disclosed
Posted on: 5 days ago
Vacancies: 1 Vacancy

Job Summary

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 (Masters or higher)
  • Deep experience with vector databases / RAG implementations (beyond basics)
  • Strong business domain understanding and stakeholder alignment
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/...
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