{"schemaVersion":"jobsearcher.job.v1","id":"10c474fa98fc89a68dc72f7a","url":"https://jobsearcher.com/jobs/10c474fa98fc89a68dc72f7a","canonicalUrl":"https://jobsearcher.com/jobs/10c474fa98fc89a68dc72f7a","title":"Sr. Data Engineer","description":"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.\r\nEssential Job Duties\r\nAs a Senior Data Engineer, you will play a key role in designing, building, and operating scalable data platforms, analytics systems, and AI/ML infrastructure. We'll rely on your expertise across data, analytics, ML, and AI engineering to develop, automate, and maintain pipelines and intelligent systems.\r\nYour ability to use AI in building reliable, performant, and scalable data, ML, and AI systems— effectively building and leveraging AI agents and agentic workflows —will be critical to your success.\r\nYou will\r\nCollaborate with data analysts, data scientists, ML engineers, software engineers, and business stakeholders to enable effective use of core data assets\r\nDesign, develop, and maintain scalable data ingestion and transformation pipelines using Python, SQL, and modern data tooling\r\nBuild and optimize data lake, lakehouse, warehouse, and data mart architectures\r\nDevelop and maintain data models including facts, dimensions, feature datasets, and domain-specific data products\r\nTranslate business requirements into design documents (e.g., ERDs, data flow diagrams) data models and ML feature pipelines\r\nDesign and manage cloud-based data and ML infrastructure (Databricks preferred), including development, staging, and production environments\r\nDesign, build, and operationalize machine learning pipelines for training, validation, deployment, and observability (e.g., performance, drift, reliability)\r\nSupport ML model lifecycle management, including versioning, reproducibility, and lineage\r\nDevelop and maintain ML feature stores and reusable feature pipelines for ML models\r\nBuild and integrate AI-powered applications and agentic workflows (e.g., LLM-based agents, retrieval-augmented generation systems, workflow automation agents)\r\nDesign and implement data pipelines for AI systems, including unstructured data (text, logs, embeddings, vector stores)\r\nDevelop and maintain unit, integration, and data quality tests\r\nParticipate in peer code reviews, pull requests, and team coding standards\r\nDocument data pipelines, ML pipelines, models, infrastructure, and standard operating procedures\r\nDefine infrastructure as code and support CI/CD pipelines for data and ML systems\r\nEnsure data privacy, security, and access control best practices (including AI data governance considerations)\r\nIdentify and implement improvements in efficiency, scalability, resilience, and performance\r\nContribute to evolving data, ML, and AI platform architecture, tools, and best practices\r\nYou'll help power analytics, machine learning, and intelligent decision-making across domains such as finance, marketing, sales, product, and customer experience.\r\nWhat You Need to Get the Job Done\r\nCollaboration & Business Engagement\r\nAbility to gather requirements and translate business processes into data, ML, and AI solutions\r\nComfortable working cross-functionally with both technical and non-technical stakeholders\r\nAbility to quickly learn new domains and technologies\r\nCore Technical Skills\r\nStrong Python development experience\r\nAdvanced SQL development and query optimization skills\r\nUnderstanding of Databricks and large-scale data processing\r\nExperience building and scaling data pipelines using Databricks and PySpark\r\nDeep understanding of data lake, lakehouse, data warehouse, and data mart architectures\r\nExperience with data modeling across a variety of business domains\r\nExperience with modern data tooling (e.g., dbt or similar transformation frameworks)\r\nKnowledge of data formats, data patterns, and modeling best practices\r\nExperience with cloud platforms (AWS preferred)\r\nExperience with CI/CD pipelines in a data engineering environment\r\nGit-based development workflows\r\nBachelor's degree in computer science, information systems, a quantitative field, or equivalent practical experience\r\nAI, ML & MLOps Skills\r\nHands-on experience using AI development tools and IDEs (e.g., Cursor, Copilot, Claude Code, or similar)\r\nExperience building AI agents and agentic workflows\r\nExposure to LLMs, embeddings, vector databases, or generative AI systems\r\nFamiliarity with handling structured and unstructured data (e.g., text, logs, embeddings)\r\nExperience building or supporting machine learning pipelines in production\r\nFamiliarity with AI and MLOps in Databricks\r\nExperience with ML feature engineering and feature stores\r\nUnderstanding of ML model lifecycle management, monitoring, and evaluation\r\nWhat Will Make Us REALLY Love You\r\nFamiliarity with common business metrics across multiple domains\r\nExposure to business systems like Netsuite, Salesforce, Marketo, Zuora, Gainsight, or Pendo\r\nExperience building KPI frameworks or domain-specific models (e.g., attribution, funnel, retention, financial metrics)\r\nExperience with streaming data and change data capture (CDC)\r\nExperience with real-time ML inference systems\r\nWhat You'll Love About Us\r\nA Great Company Culture that has been recognized by multiple organizations like Inc, and Salt Lake Tribune\r\nComprehensive health, life, and disability insurance\r\nGenerous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life\r\n401k plans with up to 6% company match\r\n$2000 Paid-Paid Vacation bonus\r\nEAP through Headspace\r\nCheck out all our benefits that benefit you\r\nAbout Us\r\nAt 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.\r\nWe 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.\r\nWhat 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.\r\nBambooHR 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.\r\nBambooHR is An Equal Opportunity Employer--M/F/D/V\r\nBecause 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.\r\nFor information on California Privacy Policy, click here.\r\nOur 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. Please see our General Privacy Notice and California Privacy Notice for more details.\r\nSee 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.\r\nJ-18808-Ljbffr","company":"Bamboohr","rawCompany":"bamboohr","city":"Draper","state":"UT","isRemote":false,"isActive":false,"createdAt":"2026-07-16T01:47:43.818Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. Data Engineer","description":"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.\r\nEssential Job Duties\r\nAs a Senior Data Engineer, you will play a key role in designing, building, and operating scalable data platforms, analytics systems, and AI/ML infrastructure. We'll rely on your expertise across data, analytics, ML, and AI engineering to develop, automate, and maintain pipelines and intelligent systems.\r\nYour ability to use AI in building reliable, performant, and scalable data, ML, and AI systems— effectively building and leveraging AI agents and agentic workflows —will be critical to your success.\r\nYou will\r\nCollaborate with data analysts, data scientists, ML engineers, software engineers, and business stakeholders to enable effective use of core data assets\r\nDesign, develop, and maintain scalable data ingestion and transformation pipelines using Python, SQL, and modern data tooling\r\nBuild and optimize data lake, lakehouse, warehouse, and data mart architectures\r\nDevelop and maintain data models including facts, dimensions, feature datasets, and domain-specific data products\r\nTranslate business requirements into design documents (e.g., ERDs, data flow diagrams) data models and ML feature pipelines\r\nDesign and manage cloud-based data and ML infrastructure (Databricks preferred), including development, staging, and production environments\r\nDesign, build, and operationalize machine learning pipelines for training, validation, deployment, and observability (e.g., performance, drift, reliability)\r\nSupport ML model lifecycle management, including versioning, reproducibility, and lineage\r\nDevelop and maintain ML feature stores and reusable feature pipelines for ML models\r\nBuild and integrate AI-powered applications and agentic workflows (e.g., LLM-based agents, retrieval-augmented generation systems, workflow automation agents)\r\nDesign and implement data pipelines for AI systems, including unstructured data (text, logs, embeddings, vector stores)\r\nDevelop and maintain unit, integration, and data quality tests\r\nParticipate in peer code reviews, pull requests, and team coding standards\r\nDocument data pipelines, ML pipelines, models, infrastructure, and standard operating procedures\r\nDefine infrastructure as code and support CI/CD pipelines for data and ML systems\r\nEnsure data privacy, security, and access control best practices (including AI data governance considerations)\r\nIdentify and implement improvements in efficiency, scalability, resilience, and performance\r\nContribute to evolving data, ML, and AI platform architecture, tools, and best practices\r\nYou'll help power analytics, machine learning, and intelligent decision-making across domains such as finance, marketing, sales, product, and customer experience.\r\nWhat You Need to Get the Job Done\r\nCollaboration & Business Engagement\r\nAbility to gather requirements and translate business processes into data, ML, and AI solutions\r\nComfortable working cross-functionally with both technical and non-technical stakeholders\r\nAbility to quickly learn new domains and technologies\r\nCore Technical Skills\r\nStrong Python development experience\r\nAdvanced SQL development and query optimization skills\r\nUnderstanding of Databricks and large-scale data processing\r\nExperience building and scaling data pipelines using Databricks and PySpark\r\nDeep understanding of data lake, lakehouse, data warehouse, and data mart architectures\r\nExperience with data modeling across a variety of business domains\r\nExperience with modern data tooling (e.g., dbt or similar transformation frameworks)\r\nKnowledge of data formats, data patterns, and modeling best practices\r\nExperience with cloud platforms (AWS preferred)\r\nExperience with CI/CD pipelines in a data engineering environment\r\nGit-based development workflows\r\nBachelor's degree in computer science, information systems, a quantitative field, or equivalent practical experience\r\nAI, ML & MLOps Skills\r\nHands-on experience using AI development tools and IDEs (e.g., Cursor, Copilot, Claude Code, or similar)\r\nExperience building AI agents and agentic workflows\r\nExposure to LLMs, embeddings, vector databases, or generative AI systems\r\nFamiliarity with handling structured and unstructured data (e.g., text, logs, embeddings)\r\nExperience building or supporting machine learning pipelines in production\r\nFamiliarity with AI and MLOps in Databricks\r\nExperience with ML feature engineering and feature stores\r\nUnderstanding of ML model lifecycle management, monitoring, and evaluation\r\nWhat Will Make Us REALLY Love You\r\nFamiliarity with common business metrics across multiple domains\r\nExposure to business systems like Netsuite, Salesforce, Marketo, Zuora, Gainsight, or Pendo\r\nExperience building KPI frameworks or domain-specific models (e.g., attribution, funnel, retention, financial metrics)\r\nExperience with streaming data and change data capture (CDC)\r\nExperience with real-time ML inference systems\r\nWhat You'll Love About Us\r\nA Great Company Culture that has been recognized by multiple organizations like Inc, and Salt Lake Tribune\r\nComprehensive health, life, and disability insurance\r\nGenerous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life\r\n401k plans with up to 6% company match\r\n$2000 Paid-Paid Vacation bonus\r\nEAP through Headspace\r\nCheck out all our benefits that benefit you\r\nAbout Us\r\nAt 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.\r\nWe 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.\r\nWhat 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.\r\nBambooHR 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.\r\nBambooHR is An Equal Opportunity Employer--M/F/D/V\r\nBecause 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.\r\nFor information on California Privacy Policy, click here.\r\nOur 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. Please see our General Privacy Notice and California Privacy Notice for more details.\r\nSee 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.\r\nJ-18808-Ljbffr","datePosted":"2026-07-16T01:47:43.818Z","dateModified":"2026-07-16T01:47:43.818Z","hiringOrganization":{"@type":"Organization","name":"Bamboohr","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Draper","addressRegion":"UT","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"10c474fa98fc89a68dc72f7a"},"url":"https://jobsearcher.com/jobs/10c474fa98fc89a68dc72f7a"}}