Senior Data Engineer (AI & ML)

TL;DR

Senior Data Engineer (AI & ML): Designing and maintaining robust ETL/ELT pipelines to support large-scale AI and GenAI use cases with an accent on vector-based data pipelines and cloud-based platforms. Focus on building scalable data architectures for offline model training and low-latency inference.

Location: Remote (Mexico). Must be legally authorized to work in the country of employment without sponsorship.

Company

hirify.global is a healthcare company that combines medical, material, and data science to create innovative solutions for healthcare professionals and patients.

What you will do

• Design, build, and maintain robust ETL/ELT pipelines supporting large, complex datasets with evolving schemas.
• Support embedding generation and vector-based data pipelines for AI and GenAI use cases.
• Develop scalable batch and streaming data pipelines using cloud-based platforms like Snowflake or Databricks.
• Create and evolve semantic data models to transform raw data into analytics-ready, trustworthy datasets.
• Implement data quality checks, lineage, and monitoring for enterprise-scale datasets.
• Provide technical leadership and mentorship to other data engineers, promoting best practices.

Requirements

• Bachelor’s degree in Computer Science, Mathematics, Engineering, or related field with 6-8 years of experience (or HS Diploma with 10 years).
• Strong experience with SQL, relational, and NoSQL databases.
• Hands-on experience building large-scale data pipelines in Azure or AWS.
• Experience with Databricks, Snowflake, and distributed processing frameworks like Spark.
• Proficiency in Python and data-frame libraries such as Pandas or Polars.
• Professional proficiency in English for regular collaboration across global teams.

Nice to have

• Experience in healthcare, medical device, life sciences, or manufacturing environments.
• Familiarity with Business Intelligence tools and analytics platforms.
• Experience supporting AI/ML use cases through high-quality, well-modeled data.
• Knowledge of data privacy, security, and compliance best practices.

Culture & Benefits

• Remote work arrangement.
• Competitive pay and benefits regularly benchmarked against industry standards.
• Inclusive work environment with equal opportunity for all qualified candidates.
• Opportunity to work on game-changing innovations at the intersection of health and data science.