BambooHR
Sr. Data Engineer
Utah, USA · Senior · Contract
Sponsorship not specifiedDetected 42 days ago
PythonCode ReviewGitSQLDatabricksVector DatabasesAWSCloud PlatformsCI/CDMachine LearningdbtData EngineeringLLMsRAGAgentic AIMLOpsSalesforceMarketoHRISCollaborationNetSuite
About the role
- Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week.
- Additionally, employment with BambooHR is contingent on passing both a background and credit check.
- Here, you'll find a place that champions growth: both professional and personal, both individual and collective.
Company info
- we're building a people intelligence platform that transforms HR and sets people free to do great work!
- We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth.
- with openness, integrity, and a shared commitment to doing the right thing.
- Join us in creating HR software that makes work better for everyone, while we make work better for you.
- BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process.
- If you would like to request accommodations, please let your recruiter know.
- BambooHR is An Equal Opportunity Employer--M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired.
- Our process utilizes AI as an assistant to efficiently process and analyze candidate data.
- Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications.
- See our AI Guidelines for Candidates for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.
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This listing is sourced directly from BambooHR's careers page and normalized into a canonical job model.