Senior Data Engineer

More about the Role

At Heartland Veterinary Partners, our mission is centered around elevating the lives of veterinarians and their teams. By partnering with Heartland, practice owners unlock a world of operational advantages and economies of scale, all while retaining their clinical autonomy. At Heartland, we go beyond the ordinary to foster an environment that nurtures growth, invests in our employees, and creates pathways for professional development.

The Heartland promise doesn't stop at operational brilliance; it extends to encompass non-clinical facets like recruiting & human resources, marketing, procurement, payables management, accounting & finance, and information technology. In essence, we've got every corner covered, so our partners can focus on what truly matters - providing optimal care for their patients. As a dedicated member of our Support Center, you'll have the opportunity to be a part of what makes that happen. Your role will be pivotal in helping our partners deliver unparalleled patient care.

The Heartland philosophy rests firmly on the pillars of Servant Leadership. This ethos defines our Support Center team, where every member embraces the ethos of selfless service and approaches every challenge with an unwavering commitment to support. If this resonates with your personal and professional values, then we'd like to get to know you better!

Position Purpose

Reporting to the Director of Business Intelligence and Data, the Senior Data Engineer will design, develop, and maintain the data architecture required to support advanced analytics and business intelligence initiatives across Heartland Veterinary Partners. This role will focus on integrating disparate and legacy data sources, building scalable data pipelines, and optimizing data workflows to enable the organization's analytics capabilities. This is a full-time remote role. Candidates located within Heartland's geographic footprint will be prioritized.

Competencies

At Heartland, all of our team members embody the spirit of Servant Leadership.

• Authentic Listening - Continually listening with an open mind and heart to what is said and unsaid.
• Building Community -Bringing team members together and mobilizing them around our collective purpose and commitment to our communities.
• Commitment to the Growth of the People - Dedicated to the personal and professional growth and development of our team members.
• Conceptualization -Forward thinking and approaching work and challenges with an end-to-end view.
• Empathy - Demonstrating empathy and understanding with others, approaching everything assuming positive intentions.
• Foresight - Taking the past, the present, and the future decision-making process.
• Healing - Focusing on the emotional and physical health of our team members. Offering support and solutions to ensure our team members have balance.
• Persuasion - Building group consensus and buy-in.
• Self-Awareness - Conscious knowledge of personal character, emotions, intentions, and leadership impact.
• Stewardship - Concern for our team members, customers, communities, and the organization as a whole and making good use of all that is available to provide appropriate support.

Essential Responsibilities

• Design and implement robust, scalable data pipelines for extracting, transforming, and loading (ETL) data from various fragmented and legacy systems.
• Collaborate with the Director of BI and Data and other team members to define the architecture for data warehousing and data integration solutions.
• Develop and maintain data models and schemas to support analytics, reporting, and data science initiatives.
• Optimize the performance of databases and data workflows to ensure reliability and scalability.
• Monitor performance of data pipelines and ETL/ELT processes, databases and data warehouses, resolve issues, and implement optimizations to improve efficiency, reliability, and scalability.
• Ensure data quality, consistency, and security through governance best practices, monitoring, data auditing, and collaboration.
• Provide technical leadership in selecting and implementing tools and platforms for data engineering tasks.
• Document processes and mentor junior team members to promote knowledge sharing and best practices.

Requirements/Qualifications

• 5+ years of experience in data engineering or a related field.
• Proficiency in SQL, Python, Databricks, and modern ETL tools (e.g., Azure Data Factory, Apache Airflow, Talend, or Informatica).
• Experience designing and maintaining data warehouses and data lakes.
• Familiarity with integrating fragmented and legacy data sources into unified platforms.
• Strong understanding of data governance, security, and compliance best practices.
• Excellent problem-solving skills and ability to collaborate across teams.

Benefits Offered

• Physical wellness: Health, dental, vision, voluntary life and disability programs, and discounted access to gym memberships
• Mental wellness: Paid time off, flexible work schedules, and EAP
• Financial wellness: Bonus incentives, retirement accounts, retail discounts, and access to financial planning tools
• Professional wellness: Learning and career development solutions

Pay Range

USD $130,000.00 - USD $150,000.00 /Yr.