54 минуты назад
Data Engineer (Healthcare)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Python/SQL/Healthcare): Building scalable data pipelines, databases, and cloud-based software solutions for healthcare evidence generation with an accent on operational efficiency, reliability, and data transformation. Focus on optimizing AWS data infrastructure, troubleshooting production systems, and collaborating with stakeholders to translate business requirements into maintainable technical solutions.
Location: Hybrid in Research Triangle Park, North Carolina, with three days per week in the office
Company
combines health system partnerships, longitudinal data curation, and modern study design to generate multimodal evidence for life sciences organizations, supporting clinical, regulatory, and strategic decision-making.
What you will do
- Design and implement scalable data pipelines and software solutions that improve operational efficiency.
- Analyze business requirements and translate stakeholder needs into technical solutions.
- Write clean, maintainable Python code with a strong focus on SQL-based data manipulation and transformation.
- Support, optimize, and maintain cloud-based data infrastructure, preferably on AWS.
- Develop and modify databases for internal applications.
- Collaborate with operations and product teams on deployment, testing, maintenance, troubleshooting, and continuous improvement.
Requirements
- 3+ years of software development experience, ideally in data engineering, data platform development, or backend systems.
- Strong proficiency in Python and SQL.
- Experience with AWS, GCP, or Azure and cloud-native environments.
- Familiarity with version control and CI/CD tools such as GitLab or GitHub Actions.
- Strong problem-solving and communication skills, with the ability to work independently under moderate supervision.
Nice to have
- Experience developing or working with machine learning pipelines or models.
- Exposure to Generative AI or LLM frameworks such as LangChain or LangGraph.
- Knowledge of distributed computing tools or concepts, including Spark or Dask.
- Experience with healthcare, life sciences, or clinical data.
- Bachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience.
Culture & Benefits
- Hybrid work in a new office with three required in-office days per week.
- Health, dental, and vision insurance for employees and their families.
- 401(k) plan with company matching.
- Generous paid time off and company holidays.
- Paid parental leave.
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 →