Databricks Platform Engineer (Data Engineering)

Location: Remote, from anywhere in the world

Company

hirify.global is an international technology team with colleagues working remotely from around the world.

What you will do

• Design, build, and maintain scalable data pipelines integrating data from lab systems, MES, clinical supply, quality systems, and external partners.
• Create and optimize structured and unstructured data flows with Python, PySpark, R, SQL, Databricks, and modern engineering tools.
• Develop data repositories and enterprise-level data models.
• Prepare well-structured, versioned, traceable, and semantically aligned data for AI/ML use cases.
• Collaborate with stakeholders and other teams to translate discussions into actionable requirements.

Requirements

• Bachelor’s degree in Engineering, Data Science, Life Sciences, Computer Science, or a related field; an advanced degree is preferred.
• 6+ years of data engineering experience, including data modeling and database design.
• Strong expertise with the Databricks platform.
• Proficiency in Python, SQL, cloud-based architectures, AWS services, Spark, and dbt.
• Expertise in ETL and data warehousing, plus experience with NoSQL and graph databases.
• English proficiency at B2+ level, with strong analytical, problem-solving, stakeholder-management, organizational, and adaptability skills.

Nice to have

• Knowledge of CI/CD and infrastructure tools such as Terraform.
• Experience with regulated or standards-driven data environments, including CDISC, HL7, FHIR, OMOP, DICOM, or manufacturing and quality data standards.
• Experience with high-dimensional data, MLOps and model deployment workflows, manufacturing systems, laboratory information systems, or industrial data systems.
• Exposure to knowledge graphs 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.