Data Engineer – Cell & Gene Therapy Domain
Develop and maintain cloud-native data solutions on platforms such as AWS and Snowflake , ensuring security and scalability.
Implement workflow orchestration using Airflow or similar tools to automate data processing and analytics workflows.
Translate raw data into usable data products that support business insights, machine learning, or reporting needs in the therapy domain.
Set up and manage CI / CD pipelines to enable continuous integration and deployment of data services and analytics tools.
Work closely with business stakeholders and scientists to gather requirements , clarify needs, and propose optimal data-driven solutions.
Requirements
Proficiency in Python for data processing and workflow automation.
Solid understanding of Apache Airflow or equivalent tools for orchestrating ETL processes.
Experience with dbt (data build tool) for modeling and transforming structured data.
What we offer
Employment based on a B2B contract
Opportunity to work in a stable, dynamically developing international company.
Chance to participate in interesting projects and work with the latest information technologies
Attractive remuneration rates offered
Involvement in the most prestigious international projects
Multisport and Private Medical Care
Nice to have
Familiarity with Cell and Gene Therapy , biotech, or pharmaceutical data environments.
Background in DevOps for data , including deployment strategies and pipeline automation.
Experience using Git and Git-based CI / CD pipelines (e.g., GitHub Actions, GitLab CI).
Knowledge of integrating third-party APIs and external data sources into pipelines.
Understanding of data modeling principles SQL performance tuning , and data normalization
Work with us
Didn't find anything for yourself? Send your CV topraca@seargin.com
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Data Engineer • Snowflake, AZ, US