BambooHR
Sr. Data Engineer
Utah | Hybrid · Senior · Contract
Sponsorship not specifiedDetected 15 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.
- We're leaning into intelligent tools to streamline our workflows, giving us more time for high-impact innovation.
Responsibilities
- Collaborate with data analysts, data scientists, ML engineers, software engineers, and business stakeholders to enable effective use of core data assets
- Design, develop, and maintain scalable data ingestion and transformation pipelines using Python, SQL, and modern data tooling
- Build and optimize data lake, lakehouse, warehouse, and data mart architectures
- Develop and maintain data models including facts, dimensions, feature datasets, and domain-specific data products
- Translate business requirements into design documents (e.g., ERDs, data flow diagrams) data models and ML feature pipelines
- Design and manage cloud-based data and ML infrastructure (Databricks preferred), including development, staging, and production environments
- Support ML model lifecycle management, including versioning, reproducibility, and lineage
- Develop and maintain ML feature stores and reusable feature pipelines for ML models
- Build and integrate AI-powered applications and agentic workflows (e.g., LLM-based agents, retrieval-augmented generation systems, workflow automation agents)
- Design and implement data pipelines for AI systems, including unstructured data (text, logs, embeddings, vector stores)
Requirements
- Experience with data modeling across a variety of business domains
- Experience with modern data tooling (e.g., dbt or similar transformation frameworks)
Benefits
- Design, build, and operationalize machine learning pipelines for training, validation, deployment, and observability (e.g., performance, drift, reliability)
Company info
- At BambooHR, we're building something different: 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.
- Here, you'll find a place that champions growth: both professional and personal, both individual and collective.
- We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture.
- Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office.
- What sets us apart isn't just what we do, but how we do it: 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.
- with openness, integrity, and a shared commitment to doing the right thing.
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This listing is sourced directly from BambooHR's careers page and normalized into a canonical job model.