Data Engineering Lead
HybridDenver, Colorado, United States
Denver, Colorado, United StatesHybridPart TimeSenior LevelMasters Degree
Part TimeSenior LevelMasters Degree
Job Summary
Design, build, and maintain data pipelines and ELT workflows for ingesting, transforming, and integrating data from diverse sources. Take ownership of a Snowflake-based data warehouse incorporating dbt best practices, writing complex SQL for large datasets while ensuring data quality, governance, and compliance. Build and integrate with APIs to expose integrated data to downstream applications, then monitor and troubleshoot pipelines to ensure performance, scalability, and reliability. This hybrid role supports key functional areas and business partners within a PE-backed global SaaS environment in Denver, CO.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data Engineering, or related field
- 5+ years of experience building and operating production-grade data platforms, including scalable data pipelines and cloud data warehouses
- 3+ years of experience using dbt to build data warehouse solutions
- Strong knowledge and experience in SQL, Python, and data modeling
- Experience with cloud platforms (Azure, AWS, or GCP) and tools like Databricks, Airflow, or Azure Data Factory
- Experience with Snowflake, Rivery
- Understanding of Gen AI concepts including LLMs, RAG (Retrieval-Augmented Generation), and vector databases
Desired Qualifications
- dbt preferred
- Experience with Snowflake, Rivery, dbt preferred
- Experience with cloud platforms (Azure, AWS, or GCP) and tools like Databricks, Airflow, or Azure Data Factory
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