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6 дней назад

Senior Data Engineer - Databricks and Snowflake

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Senior Data Engineer - Databricks and Snowflake (Data Engineering): Building scalable pipelines and enterprise data repositories for scientific, manufacturing, and healthcare data with an accent on Python, Spark, Databricks, Snowflake, data modeling, and AI/ML readiness. Focus on integrating structured and unstructured data, ensuring traceability and semantic alignment, and connecting data platforms with regulated standards and MLOps workflows.

Location: Fully remote; colleagues work remotely from all over the world

Company

hirify.global is an international technology team delivering data engineering solutions across scientific, manufacturing, and healthcare environments.

What you will do

  • Design, build, and maintain scalable data pipelines integrating laboratory, manufacturing, clinical supply, quality, and partner data sources.
  • Create and optimize structured and unstructured data flows using Python, PySpark, R, SQL, Databricks, Snowflake, and related engineering tools.
  • Develop enterprise-level data repositories and data models, including new models required by business needs.
  • Prepare data for AI and ML use cases by ensuring it is structured, versioned, traceable, and semantically aligned.
  • Translate stakeholder discussions into actionable data requirements while managing multiple projects.

Requirements

  • Bachelor’s degree in Engineering, Data Science, Life Sciences, Computer Science, or a related field; an advanced degree is preferred.
  • At least 6 years of data engineering experience, including data modeling and database design.
  • Proficiency in Python, R, SQL, AWS services, Snowflake, Databricks, Redshift, Spark, dbt, and RDS.
  • Expertise in ETL and data warehousing, with experience using NoSQL and graph databases.
  • English proficiency at B2 level or higher is required.
  • Strong analytical, problem-solving, stakeholder-management, organizational, and adaptability skills.

Nice to have

  • Experience in histopathology, scientific, manufacturing, healthcare, or regulated data environments.
  • Knowledge of CDISC, HL7, FHIR, OMOP, DICOM, manufacturing, or quality data standards.
  • Experience with high-dimensional imaging or sensor data and knowledge graphs or ontology-driven architectures.
  • Understanding of MLOps, model deployment workflows, MES, laboratory information systems, or industrial data systems.

Culture & Benefits

  • Fully remote work with flexible working hours.
  • Competitive compensation.
  • Continuous education, mentoring, and professional development programs.
  • Collaboration with an international team of technology specialists.

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