Data Engineer II

2+ years of experience in data engineering or related field
Experience with cloud data warehouses, particularly Amazon Redshift
Experience with dbt for data transformation and modeling
Knowledge of workflow orchestration tools like Argo or alternatives (Airflow, Prefect, Dagster)
Strong programming skills in Python and SQL
Experience with version control systems (Git)
Understanding of data modeling concepts (dimensional modeling, star schema)
Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience

Develop and maintain the technical components of our analytics data platform
Build scalable data pipelines
Optimize database storage and query retrieval
Collaborate with cross-functional teams to deliver data solutions that meet business requirements
Discover new data sources for ingestion via database connections, APIs, and message queues
Design, build, and maintain scalable and reliable data pipelines using Airbyte
Develop and optimize base data models in Redshift using dbt
Write efficient SQL queries to support analysis
Observe the data monitoring systems and quality checks, and respond to issues
Collaborate with analysts and other stakeholders to understand data requirements
Document data models systems and administrative processes