Data Engineer

2 days ago

Fremont, California, United States Scribe Therapeutics Full time
Job Title: Data Engineer - Therapeutic Innovation

Scribe Therapeutics is a molecular engineering company focused on creating innovative therapies that treat the underlying cause of disease. We are seeking a highly creative and motivated Data Engineer to join our team and advance our platform.

The ideal candidate will have a passion for working collaboratively with biologists and bioengineers to enable building the necessary tools for meeting the new frontier of CRISPR-based therapeutics. Additionally, the candidate would bring expertise in data engineering to work with Scribe's fast-growing teams, contributing to the development of best practices of data solutions and playing a key role in data-driven gene editing innovation.

The Data Engineer will design, construct, and maintain data systems and pipelines for efficient and reliable data ingestion, processing, and storage. They will develop and implement data integration and ETL processes to ensure data quality, accuracy, and consistency. The candidate will also build scalable and optimized databases, data warehouses, and data lakes to support the organization's data needs.

Key Responsibilities:

  • Design and implement data systems and pipelines for efficient data ingestion, processing, and storage.
  • Develop and implement data integration and ETL processes to ensure data quality and consistency.
  • Build scalable and optimized databases, data warehouses, and data lakes to support the organization's data needs.
  • Implement data governance practices, including data security, privacy, and compliance.
  • Automate data workflows, data validation, and data quality checks to ensure data accuracy and reliability.
  • Collaborate with data scientists and bioinformatics scientists to maintain code libraries/pipelines that implement and support Machine Learning (ML) workflows.

Required Skills and Background:

  • Experience with big data and data science tools and development, as well as database and data management best practices.
  • Strong proficiency in programming languages such as Python, Java, or Scala, as well as SQL for data manipulation and query optimization.
  • Familiarity with cloud platforms and services, such as AWS, Azure, or GCP, and their data-related offerings.
  • Experience with data integration and ETL tools such as Apache Spark, Apache Airflow, or Glue in AWS.
  • Solid understanding of database systems, both relational and NoSQL.
  • Knowledge of data governance, data security, and compliance frameworks.
  • Familiarity with machine learning concepts and frameworks to support data science initiatives.

Preferred Skills and Background:

  • B.S or M.S in Computer Science, Data Science, or related engineering fields.
  • Knowledge of agile engineering practices and development methodologies.
  • Familiarity with CRISPR technologies and therapeutic approaches.

Salary will be commensurate with experience. We will provide an intellectually stimulating, collegial and fast-paced environment. If you are ready to engineer the future of therapeutics, then we are excited to hear from you.

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