Data Operations Engineer

Mountain View, California, United States

We are seeking an outstanding Data Operations Engineer to be part of the Data Operations team focused on a few key items: supporting data pipelines, release management, tooling around data pipeline management.

Who we are

Since 2006, 23andMe’s mission has been to help people access, understand, and benefit from the human genome. We are a group of passionate individuals pushing the boundaries of what’s possible to help turn genetic insight into better health and personal understanding.Own the portion of the dimensional model relevant to the subject area you first deal with.

What you'll do

This new position will be responsible for Data operations.

  • Monitor and Support 24X7 data pipeline jobs and ensure SLAs are met. Manage data pipelines and workflow systems. Troubleshoot and fix data issues in production environment.
  • Ensure Data Integrity and Security of data platform.
  • Collaborate with Data Engineering team to deploy/release/modify data pipelines.
  • Work closely with Data Engineering team on hot and permanent fixes.
  • Work closely with Data platform engineers in performance tuning and capacity planning of data pipelines.
  • Communication with Stakeholder / data consumers on delays in SLA, other planned / unplanned maintenance.
  • Incident Management within the scope of Data Engineering.

We hope you'll bring

  • B.S. Engineering or a related field, plus minimum 5 years industry experience with some exposure to high volume data environments.
  • Strong understanding of Data Warehouse systems.
  • Hands on experience with data management using Python, SQL and PL/SQL.
  • Strong knowledge database systems (Oracle, MySQL, Hadoop, Redshift), preferably in AWS.
  • Understanding of  transactional and dimensional modeling.
  • Multiple years of in depth experience in designing and implementing custom ETL in a Unix/Oracle environment.
  • An interest in contributing to the novel framework that is employed for process management, workflow definition and execution and, reusable ETL component construction.
  • Familiarity with the Hadoop , AWS ecosystems and big data ecosystem is also desirable.

About Us

23andMe, Inc. is the leading consumer genetics and research company. Our mission is to help people access, understand and benefit from the human genome. The company was named by MIT Technology Review to its “50 Smartest Companies, 2017” list, and named one of Fast Company’s “25 Brands That Matter Now, 2017”. 23andMe has over 5 million customers worldwide, with ~85 percent of customers consented to participate in research. 23andMe is located in Mountain View, CA. More information is available at

At 23andMe, we value a diverse, inclusive workforce and we provide equal employment opportunity for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual’s race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.  If you are unable to submit your application because of incompatible assistive technology or a disability, please contact us at 23andMe will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law.

Please note: 23andMe does not accept agency resumes and we are not responsible for any fees related to unsolicited resumes. Thank you.