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Data Engineer

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Recruitment Fraud Alert

We’ve learned that scammers are impersonating Commvault team members—including HR and leadership—via email or text. These bad actors may conduct fake interviews and ask for personal information, such as your social security number.  

What to know:

  • Commvault does not conduct interviews by email or text.
  • We will never ask you to submit sensitive documents (including banking information, SSN, etc) before your first day.
  • Commvault recruiters may contact prospective candidates through LinkedIn and other professional networking platforms regarding career opportunities. If you are unsure whether a recruiting communication is legitimate, review the profile to ensure they have a badge verifying them as a Commvault employee.

If you suspect a recruiting scam, please contact us at wwrecruitingteam@commvault.com 

 

About Commvault 

Commvault (NASDAQ: CVLT) is the gold standard in cyber resilience. The company empowers customers to uncover, take action, and rapidly recover from cyberattacks – keeping data safe and businesses resilient. The company’s unique AI-powered platform combines best-in-class data protection, exceptional data security, advanced data intelligence, and lightning-fast recovery across any workload or cloud at the lowest TCO. For over 25 years, more than 100,000 organizations and a vast partner ecosystem have relied on Commvault to reduce risks, improve governance, and do more with data. 

Data Engineer

The Opportunity:

The Data Engineer is a critical member of the Business Intelligence and Analytics organization, responsible for architecting, building, and scaling enterprise data platforms that power advanced analytics and decision-making. This role focuses on designing and operationalizing robust, cloud-native data pipelines and data stores, ensuring reliable, high-quality, and governed data is available across the enterprise.

The Data Engineer partners closely with analytics, data science, and business teams to transform raw data into trusted, consumable assets. By leveraging modern data technologies and best practices, this role drives data accessibility, performance optimization, and scalability while enforcing strong data governance and quality standards.
 

What you’ll do…

Data Engineering & Pipeline Development

 

Data Modeling & Architecture

 

Cloud Platform & Tools

 

Data Quality, Governance & Reliability

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