This is a remote freelance position with no employment, relocation, or visa support possible.
The company is an innovative biotechnology firm focused on unlocking the secrets of aging using advanced artificial intelligence and machine learning technologies.
The Data Engineer will design, build, and optimize scalable data solutions to support the organization's analytical and operational needs.
Responsibilities include developing data pipelines and implementing data quality checks.
Domain expertise in biological or scientific data is a significant advantage.
Requirements:
Candidates must have strong experience in data engineering and cloud platforms, preferably GCP.
Proficiency in programming languages such as Python, SQL, and shell scripting is required.
Familiarity with data catalog tools like DataHub or Apache Atlas and metadata management is necessary.
Experience in building and maintaining scalable ETL pipelines using orchestration tools such as Dagster or Airflow is essential.
Understanding of API development and integration is required.
Knowledge of data governance and data quality principles is necessary.
A background in biological or scientific data is a plus, but domain expertise can substitute for formal education.
Strong problem-solving skills and the ability to work with cross-functional teams are required.
Excellent communication skills in English, both written and verbal, are essential.
Benefits:
The position offers the flexibility of remote work.
Freelance opportunities allow for a diverse range of projects and experiences.
Working with an innovative biotechnology company at the forefront of research in aging and wellness.
Opportunity to contribute to meaningful work that aims to improve overall health and longevity.
