Data Engineer →

We expect you to design, build, and maintain scalable data pipelines and infrastructure that power our analytics and AI/ML systems. Your role will involve architecting robust ETL/ELT workflows, ensuring data quality and reliability across our platforms, and collaborating closely with data scientists, analysts, and product teams to deliver clean, well-structured data at scale.

You will play a key role in modernizing our data stack, optimizing query performance, and enabling real-time data processing capabilities. A strong emphasis will be placed on building systems that are maintainable, well‑documented, and aligned with healthcare data compliance standards.

Requirements

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• 2-4 years of experience in data engineering or a similar role.
• Proficiency in Python and SQL for data manipulation and pipeline development.
• Experience with at least one cloud platform (AWS, GCP, or Azure).
• Familiarity with data warehouses such as Snowflake, BigQuery, or Redshift.
• Basic understanding of ETL/ELT concepts and data modeling.
• Good communication skills to work effectively with cross‑functional teams.

What Victreat has to offer

Join our team and take ownership of the data infrastructure that drives meaningful innovation in healthcare technology. We offer a competitive compensation package, flexible work arrangements, and a strong commitment to your professional growth through learning opportunities and mentorship. You will work in a collaborative, fast‑paced environment where your contributions directly shape the quality and reliability of data that impacts patient outcomes. Be part of a mission‑driven team at the intersection of data and healthcare.