Senior Data Engineer (AI/ML)

Location: Remote from all over the world

Company

hirify.global is an international technology team with colleagues working from offices and remotely worldwide.

What you will do

• Design, build, and maintain scalable data pipelines integrating data from laboratory, manufacturing, clinical supply, quality, and external-partner systems.
• Create and optimize structured and unstructured data flows using Python, PySpark, R, SQL, Databricks, Snowflake, and related engineering tools.
• Develop data repositories and enterprise-level data models, creating new models as required.
• Ensure data is structured, versioned, traceable, and semantically aligned for AI/ML readiness.

Requirements

• 6+ years of experience in data engineering, including data modeling and database design.
• Bachelor’s degree in Engineering, Data Science, Life Sciences, Computer Science, or a related field; an advanced degree is preferred.
• Proficiency in Python, R, SQL, AWS services, Snowflake, Databricks, Redshift, Spark, and dbt.
• Experience with ETL, data warehousing, NoSQL databases, and graph databases.
• Familiarity with Databricks AI/BI, Tableau, or other business intelligence tools.
• English proficiency at B2 or higher, with strong analytical, problem-solving, stakeholder-management, organizational, and adaptability skills.

Nice to have

• Experience with regulated or standards-driven data environments, including CDISC, HL7, FHIR, OMOP, DICOM, manufacturing, or quality standards.
• Experience with high-dimensional data such as imaging or sensor data.
• Knowledge of MLOps, model deployment workflows, manufacturing systems, laboratory information systems, or industrial data systems.
• Exposure to knowledge graphs, ontologies, or ontology-driven architectures.

Culture & Benefits

• Remote work from anywhere in the world.
• Flexible working hours.
• Competitive compensation.
• Continuous education, mentoring, and professional development programs.
• Collaboration with a team offering strong technical expertise.