Data Engineer

Role Summary

Data Engineer at Evolus. Join IT to support data and analytics initiatives across global functions. Build and maintain ELT data pipelines, integrate data into a common warehouse data model, and interact with business and analytics teams to drive value.

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
• Break down and architect complex data engineering problems to deliver insights that meet business needs
• Own and deliver solutions‚Äîfrom ingestion of sources to data products for end user consumption, from conceptual iteration to production support
• Deliver and ensure sustained performance of all data engineering pipelines and remediate where required
• Own source code management, documentation (technical and end user), and release planning for data engineering products; lean into DataOps, DevOps, and CI/CD to deliver reliable, tested, and scalable functionality through automation
• Identify and proactively 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
• Demonstrated experience with one or more business domains (healthcare, marketing, finance, sales, product, customer success or engineering)
• Experience performing root cause analysis for production issues and identifying opportunities for improvement
• Proficiency in writing clean, documented, well-formed code and performing code reviews
• Attention to detail in planning, organization, and execution while understanding the bigger picture
• Excellent communication and interpersonal skills

Skills

• SQL
• Snowflake
• Python
• Apache Airflow
• dbt
• DataOps
• CI/CD
• Git/Azure DevOps