Data Engineer

Role Summary

Data Engineer at Evolus, joining the Information Technology team to integrate data from internal and external sources into a common warehouse data model. Build and maintain ELT data pipelines, recommend and implement data models, and operate in a DataOps environment while collaborating with business and analytics teams to drive value. Hybrid role based in Newport Beach with on-site and remote days.

Responsibilities

• Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models
• Design, develop Snowflake data warehouse using dbt or other ELT tools to extend the Enterprise Dimensional Model
• Contribute to planning and prioritization discussions
• Architect complex data engineering problems to deliver insights that meet or exceed business needs
• Own and deliver end-to-end solutions from data ingestion to data products for end user consumption, including production support
• Ensure sustained performance of data engineering pipelines and remediate as required
• Own source code management, documentation, and release planning; participate in DataOps, DevOps, and CI/CD for reliable, scalable functionality
• Identify and manage risks to the data engineering platform
• Office location ‚Äì Newport Beach. Hybrid schedule: Monday and Friday remote; Tuesday - Thursday onsite
• Other duties as assigned

Qualifications

• Bachelor‚Äôs degree required
• 6+ years of experience in enterprise data solutions
• 4+ years in cloud-based data warehousing with strong SQL and Snowflake experience
• Experience building data pipelines using Python and data orchestration tools like Apache Airflow
• Data extraction/transformation/orchestration tools such as Fivetran, dbt, Datafold, Prefect, Kafka, Stitch and Matillion
• Deep understanding of data analysis, data modeling for visualization, and reporting
• Experience in DataOps and Git or Azure DevOps and CI/CD pipelines
• Experience in one or more of healthcare, marketing, finance, sales, product, customer success or engineering
• Experience performing root cause analysis for production issues and identifying opportunities for improvement
• Strong coding practices with clean, documented code and ability to perform code reviews
• Attention to detail in planning and execution while understanding overall integration
• Excellent communication and interpersonal skills

Skills

• Snowflake
• dbt
• Python
• Apache Airflow
• Data modeling
• DataOps / DevOps / CI/CD
• Data visualization and reporting
• Strong SQL

Education

• Bachelor‚Äôs degree required