Data Engineer

Role Summary

Data Engineer responsible for integrating data from multiple sources into a common warehouse data model, building and maintaining ELT data pipelines, and contributing to data models in a DataOps environment. Collaborates with business and analytics teams to drive value and support data and analytics initiatives across Evolus's global functions.

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 or exceed business needs
• Own and deliver solutions from 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 as required
• Own source code management, documentation (technical and end user), and release planning for data engineering products; participate in 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 – Newport Beach. Hybrid schedule: Monday and Friday remote; Tuesday - Thursday onsite
• Other duties as assigned

Qualifications

• Bachelor’s 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
• Experience with 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 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, well-documented code and ability to perform code reviews
• Keen attention to detail in planning, organization, and execution while understanding the big picture
• Excellent communication and interpersonal skills

Skills

• Snowflake data warehousing
• dbt and ELT tooling
• Python and data orchestration (Airflow)
• Data modeling, analytics, and visualization
• DataOps, Git/Azure DevOps, CI/CD
• Strong collaboration and stakeholder management

Education

• Bachelor’s degree required