Вакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указана
На похожих ролях по рынку
$130к$190кмедиана$193к
7 в выборке
На СНГ рынке: $3.8к/мес ($3.1к - $4.3к)
76
Хорошая вакансия
развернуть
Здесь понятная специализация на senior data engineering, современные инструменты и работа с данными из науки и медицины, но без указанной зарплаты и при широком списке требований оценить предложение сложнее.
Кликните для подробной информации
Широкий стек требованийЗарплата не указанаСовременный стекСпециализация на науке и медицинеРазвитие и наставничество
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
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.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →