Best suited to mid-level data engineers with expertise in AI/ML systems and Databricks, working in a hybrid Utah-based environment.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Bamboohr17 via Greenhouse
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.
Essential Job Duties
As 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.
Your 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.
You will:
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
Design, build, and operationalize machine learning pipelines for training, validation, deployment, and observability (e.g., performance, drift, reliability)
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)
Develop and maintain unit, integration, and data quality tests
Participate in peer code reviews, pull requests, and team coding standards
Document data pipelines, ML pipelines, models, infrastructure, and standard operating procedures
Define infrastructure as code and support CI/CD pipelines for data and ML systems
Ensure data privacy, security, and access control best practices (including AI data governance considerations)
Identify and implement improvements in efficiency, scalability, resilience, and performance
Contribute to evolving data, ML, and AI platform architecture, tools, and best practices
You’ll help power analytics, machine learning, and intelligent decision-making across domains such as finance, marketing, sales, product, and customer experience.
What You Need to Get the Job Done
Collaboration & Business Engagement
Ability to gather requirements and translate business processes into data, ML, and AI solutions
Comfortable working cross-functionally with both technical and non-technical stakeholders
Ability to quickly learn new domains and technologies
Core Technical Skills
Strong Python development experience
Advanced SQL development and query optimization skills
Understanding of Databricks and large-scale data processing
Experience building and scaling data pipelines using Databricks and PySpark
Deep understanding of data lake, lakehouse, data warehouse, and data mart architectures
Experience with data modeling across a variety of business domains
Experience with modern data tooling (e.g., dbt or similar transformation frameworks)
Knowledge of data formats, data patterns, and modeling best practices
Experience with cloud platforms (AWS preferred)
Experience with CI/CD pipelines in a data engineering environment
Git-based development workflows
Bachelor’s degree in computer science, information systems, a quantitative field, or equivalent practical experience
AI, ML & MLOps Skills
Hands-on experience with AI prompt and agent frameworks
Experience building AI agents and agentic workflows
Exposure to LLMs, embeddings, vector databases, or generative AI systems
Familiarity with handling structured and unstructured data (e.g., text, logs, embeddings)
Experience building or supporting machine learning pipelines in production
Familiarity with AI and MLOps in Databricks
Experience with ML feature engineering and feature stores
Understanding of ML model lifecycle management, monitoring, and evaluation
What Will Make Us REALLY Love You
Familiarity with common business metrics across multiple domains
Exposure to business systems like Netsuite, Salesforce, Marketo, Zuora, Gainsight, or Pendo
Experience building KPI frameworks or domain-specific models (e.g., attribution, funnel, retention, financial metrics)
Experience with streaming data and change data capture (CDC)
Experience with real-time ML inference systems
What You'll Love About Us
A Great Company Culture that has been recognized by multiple organizations like Inc, and Salt Lake Tribune
Comprehensive health, life, and disability insurance
Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life
401k plans with up to 6% company match
$2000 Paid-Paid Vacation bonus
EAP through Headspace
Check out all our benefits that benefit you
About Us
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
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Source: Bamboohr17 careers (Greenhouse)