Company Overview
We are a veterinarian-founded network of 300+ animal hospitals dedicated to excellence in veterinary care. While our structure is important, our mission is what truly defines us: to be the employer of choice in veterinary medicine. We prioritize the well-being of our veterinary teams, ensuring they receive the best support so they can provide exceptional care to their clients and patients.
If you’d like to learn more about MVP, visit our website or connect with a team member today!
Job Summary
Mission Veterinary Partners is seeking a skilled and motivated Data Engineer to design, develop, and maintain scalable data pipelines that support the organization’s data-driven operations. This role involves managing data infrastructure, ensuring data quality, and collaborating with stakeholders across the organization to meet business needs. The ideal candidate will have experience in cloud-based solutions and a passion for enhancing data systems in veterinary practices.
Travel Requirement: Intermittent, less than 25%
Responsibilities
Essential Functions:
- Uphold and embody the Core Values and Mission Statement of MVP.
- Design, build, and maintain scalable, reliable, and secure data pipelines to ingest, process, and store structured and unstructured data from multiple sources.
- Monitor and enhance data quality, ensuring accuracy, consistency, and completeness throughout the data lifecycle.
- Collaborate with data stewards, data scientists, analysts, and business stakeholders to define data standards, metrics, and key performance indicators (KPIs) aligned with business goals.
- Effectively communicate complex technical concepts and outcomes to non-technical stakeholders.
Additional Functions:
- Perform other related duties as assigned.
Qualifications
Required Knowledge, Skills, and Abilities:
- Strong proficiency in SQL and experience with both relational and non-relational databases.
- Expertise in data modeling, data warehousing concepts, data integration, and ETL/ELT techniques.
- Proficiency in Python, with experience in PySpark or Pandas for data processing and transformation.
- Experience working with cloud platforms such as Azure, AWS, or GCP.
- Proficiency with GIT for version control.
Preferred Knowledge, Skills, and Abilities:
- Experience with Microsoft Fabric (e.g., Synapse Data Engineering, Data Factory).
Required Education and Experience:
- Bachelor’s degree in Computer Science, Computer Engineering, or a relevant technical field (or equivalent practical experience).
- 3+ years of experience in data engineering or related roles, with a proven track record of building scalable data systems.
- Previous experience in the veterinary or healthcare industry is a plus.
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