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Data Engineer

1 month ago

Fremont, California, United States Scribe Therapeutics Full time
Job Description

Scribe Therapeutics is a molecular engineering company dedicated to developing innovative CRISPR-based therapies. We are seeking a highly skilled Data Engineer to join our team and contribute to the advancement of our platform.

The ideal candidate will have a strong background in data engineering, with experience in designing and implementing data systems and pipelines for efficient and reliable data ingestion, processing, and storage. They will also have expertise in data integration and ETL processes, as well as knowledge of database systems and data governance practices.

As a Data Engineer at Scribe Therapeutics, you will work closely with our data science and bioinformatics teams to develop and implement data-driven solutions that support our gene editing innovation efforts. You will also have the opportunity to collaborate with our cross-functional teams to design and implement data-driven workflows and processes.

Key Responsibilities:

  • Design, construct, and maintain data systems and pipelines for efficient and reliable data ingestion, processing, and storage.
  • Develop and implement data integration and ETL processes to ensure data quality, accuracy, and consistency.
  • Build scalable and optimized databases, data warehouses, and data lakes to support the organization's data needs.
  • Implement and manage data governance practices, including data security, privacy, and compliance.
  • Automate data workflows, data validation, and data quality checks to ensure data accuracy and reliability.

Requirements:

  • 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 (e.g., Amazon Redshift, Google BigQuery).
  • Experience with data integration and ETL tools such as Apache Spark, Apache Airflow, or Glue in AWS.
  • Solid understanding of database systems, both relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra).
  • Knowledge of data modeling and database design principles to ensure efficient storage and retrieval of data.
  • Knowledge of data governance, data security, and compliance frameworks to ensure data integrity and privacy.
  • 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 (Scrum, Kanban).
  • Familiarity with CRISPR technologies and therapeutic approaches.
  • Familiarity with protein or RNA structure and engineering approaches.

What We Offer:

  • Competitive salary and benefits package.
  • Opportunities for professional growth and development in a rapidly growing biotechnology start-up.
  • Collaborative and dynamic work environment.
  • Chance to work on cutting-edge gene editing innovation projects.