Data Engineer, Operations Quality Assurance Specialist

1 month ago


Pleasanton, California, United States 10X Genomics Full time
Job Title: Data Engineer, Operations Quality Assurance Specialist

10x Genomics is seeking a highly skilled and motivated Data Engineer to join our Quality Assurance team within our Operations division. The ideal candidate will have a strong background in data engineering, a passion for life sciences, and the ability to design, develop, and maintain robust data pipelines to improve quality processes and product quality.

Responsibilities:

  • Contribute to the design, development, and maintenance of tools to automate workflows to improve data collection, verification, and upload.
  • Collaborate with stakeholders (e.g., customer-facing support teams, centralized data team, finance, logistics, manufacturing engineering, quality, and R&D) to understand data requirements and ensure data is readily available for analysis.
  • Identify root causes of data-related issues and partner with stakeholders to ensure minimal disruption to data workflows, and implement and optimize ETL processes to develop and scale data integration and analysis of quality-related data (quality control, nonconformances, manufacturing data) and from various sources.
  • Ensure data quality and integrity by implementing data validation, cleansing, monitoring, and alarming processes.
  • Document data engineering processes, standards, and best practices to ensure knowledge sharing and maintainability.
  • Continuously evaluate and adopt new technologies and tools to improve data engineering processes and efficiency.

Requirements:

  • BS/MS in Computer Science, Information Technology, Data Science, or a related field with 3+ years of experience.
  • Proficiency in programming languages such as Python.
  • Experience with ETL development and proficiency in SQL; experience with transactional and relational databases (e.g., MySQL, Oracle, PostgreSQL).
  • Experience with data visualization tools (e.g., Looker, Omni, Tableau).
  • Experience with cloud-based data platforms & services (e.g., Snowflake, AWS Services).
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.


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