Sr. Data Engineer

Evolus • Newport Beach, CA

12h • $135,000 - $168,000 • Hybrid

About The Position

Evolus (NASDAQ: EOLS) is a performance beauty company with a customer-centric approach focused on delivering breakthrough products. We are seeking an experienced and driven Sr. Data Engineer to join our Data Engineering team reporting to the Director, Data Engineering. The Sr. Data Engineer’s role is to integrate data from a variety of internal and external sources into a common warehouse data model. This is a technical role that involves building and maintaining ELT data pipelines, recommending and implementing appropriate data models, and being comfortable in a Data Ops environment. We are looking for someone with a consultative mindset to be able to interact with the business and analytics team and help drive value to the business. Data ecosystem is an evolving space, and we expect and encourage innovation and thought leadership. If you join our team, you will be working on some of the most exciting opportunities and challenges we face, with a team that values growth, recognition, and camaraderie. If you are looking for an opportunity to exhibit your knowledge and technical abilities in a unique environment, then look no further! In this role, you will be challenged to drive the success of Evolus in an effort to build a brand like no other.

Requirements

• Bachelor’s degree required or equivalent experience
• 6+ years of experience in enterprise data solutions in the capacity of senior data engineer
• 10+ years of experience in databases, data warehouses, and ETL / ELT pipelines
• 4+ years in Snowflake in a production enterprise environment with strong SQL experience
• 2+ years of data extraction/transformation/orchestration tools such as Fivetran, dbt and Airflow
• Experience building data pipelines using Python and data orchestration tools like Apache Airflow
• Deep understanding of data analysis, data modeling for visualization, and reporting
• Experience in Data Ops and git or Azure DevOps and CI/CD pipelines
• Demonstrated experience with one or more of the following business subject areas: healthcare, marketing, finance, sales, product, customer success, or engineering
• Experience performing root cause analysis for production issues and identifying opportunities for improvement
• Passionate about writing clean, documented, and well-formed code and perform code reviews
• Keen attention to detail in planning, organization, and execution of tasks, while still seeing the big picture and understanding how all the pieces fit together and affect one another
• Excellent communication and interpersonal skills

Nice To Haves

• Snowflake certification
• Experience implementing data governance frameworks in Snowflake
• Experience with real-time or near real-time data architectures

Responsibilities

• Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models
• Design, develop, and extend dbt and/or other ELT code to extend the Enterprise Dimensional Model
• Architect, optimize, and maintain Snowflake data warehouse structures, including performance tuning, clustering, cost optimization, and workload management
• Responsible and accountable for owning stakeholder relationship and delivery outcomes
• Contribute to planning and prioritization discussion
• Break down and architect the most complex data engineering problems to deliver insights that meet and ideally 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 where required
• Own all data engineering pipelines delivered as part of the Enterprise Data & Analytics platform including performance, uptime, reduced technical debt, scalability, and extensibility; establish KPIs
• Own source code management, documentation (technical and end user), and release planning for data engineering products; lean in to Data Ops, DevOps, and CI/CD to deliver reliable, tested, and scalable functionality through automation
• Foster a culture of sharing, re-use, design for scale and stability, and operational efficiency of data and analytical solutions
• Identify and proactively manage risks to the data engineering platform
• Lead the evaluation, implementation and deployment of emerging tools and processes for data engineering to improve productivity and results
• Partner with Data Management, InfoSec, and Legal & Compliance teams to ensure global regulations (e.g., CCPA, GDPR) are implemented and data lifecycle is defined and implemented
• Other duties as assigned

Benefits

• competitive suite of medical, dental and vision benefits
• employer covered life insurance to short-term disability
• 401k match
• new hire equity and long-term incentives in the form of RSUs, stock options, and/or discretionary bonuses
• mental health and wellbeing resources
• flexible paid time off program for exempt employees and a paid time off accrual plan for non-exempt employees
• holiday soft closure between the Christmas and New Years holidays
• regularly catered team meals at our Evolus Headquarters
• a fully stocked kitchen (Kombucha & Coffee included)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level