Find Jobs
Find Jobs Near You – Available Work in Your Location
Skip to job details
MV
Mars Veterinary Health, Inc
Director, Data Engineering & Modeling - Mars Veterinary Health
Career Insights for Data Scientist
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on Washington data
Review key factors to help you decide if this role fits your goals. How is this calculated?
What they do
A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
$142,660 / year median in Washington
+22% projected growth
Job Description
JOB TITLE
Director, Data Engineering & Modeling- Mars Veterinary Health
LOCATION & SCHEDULE
Support Office- Vancouver, Full time
COMPENSATION
$140,400.00- $219,375.00 As part of the Mars Petcare family of businesses, Mars Veterinary Health is a global network of veterinary practices made possible by 75,000 Associates who care for millions of pets across nearly 3,000 clinics in more than 20 countries each year. We are committed to leveraging our reach to make a long-term positive impact on people, pets, and the planet and know our Purpose
A BETTER WORLD FOR PETS
- starts with the people who care for them. We strive to offer unparalleled veterinary care for pets by first and foremost enabling and empowering our Associates to do what they love, whether in primary, specialty, and emergency care or management and leadership. This role requires associates to work out of a MVH North America hub location
- Vancouver, WA | Santa Monica, CA | Tampa, FL |
New York, NY Why This Role Matters:
The Data Engineering & Mod eling Director l eads enterprise data engineering, modeling, and data product development capabilities. Responsible for delivering scalable, reusable, and governed data assets that support operational, analytical, and AI use cases.You Will:
Live and exemplify the Five Principles of Mars, Inc. within self and team. Key Responsibilities Define enterprise data engineering standards and practices. Lead development of data products, pipelines, and semantic models. Establish enterprise data modeling standards. Oversee data integration and transformation frameworks. Drive engineering quality, automation, and performance optimization. Support data democratization and self-service analytics. Data Product Engineering Establish enterprise data product operating model. Define engineering standards and development lifecycle practices. Lead development of reusable and scalable data assets. Implement DataOps and CI/CD practices. Data Architecture & Modeling Establish conceptual, logical, and physical data modeling standards. Govern semantic layer and business data model design. Support master data and domain-driven architecture initiatives. Ensure interoperability across data domains. Delivery and Modernization Lead migration from legacy data platforms. Improve pipeline performance, reliability, and maintainability. Reduce technical debt and improve engineering efficiency. Drive adoption of modern data stack technologies. Leadership Mentor engineering managers and senior engineers. Establish engineering career frameworks and technical communities. Other job duties as assigned.Your Experience Should Include:
10+ years in data engineering or data architecture. 5+ years leading engineering teams. Experience building enterprise data products. Experience with large-scale cloud data platforms. Experience implementing DataOps and agile delivery practices.Salary Range:
$ 140,400- $241,313 Compensation is determined based on education, experience, and other relevant credentials.
A BETTER WORLD FOR PETS.
What We Offer You:
Competitive salary with paid time off & holidays so you can spend time with the people you love. Medical, dental, and vision insurance for you and your loved ones. Fertility and family-building assistance. Paid Parental leave. Practice Paid Basic Life Insurance. Practice Paid Short- and Long-Term Disability.