Sr. Data Engineer

Sr. Data Engineer Evolus - 4.2 Newport Beach, CA Job Details Full-time $158,808 - $165,000 a year 1 day ago Benefits Work from home Qualifications Data model design Data Integration (Data management) Cloud data warehouses Data reporting Automating deployment processes SQL Bachelor's degree Data analytics Root cause analysis Data visualization Python Database software proficiency

Full Job Description 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. 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 meets and ideally exceeds 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 DataOps, 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.

Qualifications:

THIS POSITION REQUIRES A BACHELOR'S DEGREE

(OR

FOREIGN EQUIVALENT

)

IN COMPUTER SCIENCE, COMPUTER ENGINEERING, OR IN A CLOSELY RELATED FIELD, PLUS 6 YEARS OF WORK EXPERIENCE IN COMPUTER SCIENCE, COMPUTER ENGINEERING, OR IN A CLOSELY RELATED OCCUPATION.

Special Requirements:

REQUIRED EXPERTISE/KNOWLEDGE OF

Enterprise data solutions in the capacity of senior data engineer; Databases, data warehouses, and

ETL / ELT

pipelines; Cloud-based data warehousing with strong SQL experience (eg, Snowflake); Building data pipelines using python and data orchestration tools like Apache Airflow; Data extraction/transformation/orchestration tools such as Fivetran, dbt, Dataform, Airflow, Prefect, Kafka, Stitch and Matillion; Data analysis, data modeling for visualization, and reporting. DataOps and git or AzureDevOps and CI/CD pipelines.; Experience with one or more of the following business subject areas: healthcare, marketing, finance, sales, product, customer success or engineering; Performing root cause analysis for production issues and identify opportunities for improvement.

MUST POSSESS EXPERTISE/ KNOWLEDGE SUFFICIENT TO ADEQUATELY PERFORM THE DUTIES OF THE JOB BEING OFFERED. EXPERTISE/ KNOWLEDGE MAY BE GAINED THROUGH EMPLOYMENT EXPERIENCE OR EDUCATION. SUCH EXPERTISE/ KNOWLEDGE CANNOT BE

"

QUANTIFIED

" BY "TIME." •

MAY WORK FROM HOME

•.

Salary :

$158,808-$165,000/YEAR How to apply : Qualified applicants please send resume to:

Reference:

CA2604SM

Evolus, Inc. is an equal opportunity employer. #LI-DNI