Sr. Data Engineer

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. 

AI at BambooHR

At BambooHR, we’re all about setting people free to do great work, and we believe AI is a powerful partner in that mission. We’re leaning into intelligent tools to streamline our workflows, giving us more time for high-impact innovation. We look for curious, forward-thinking people who are ready to explore how AI can elevate their work and help us reimagine the future of HR.

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

(If you don’t have everything, we still encourage you to apply.)

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

AI, ML & MLOps Skills

Hands-on experience with AI prompt and agent frameworks (e.g., Claude Code, Cursor, Windsurfer, or similar)

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

Beyond technical skills, we’re looking for someone who is:

A clear and effective communicator

Analytical and pattern-oriented

Creative in both engineering and AI/data modeling approaches

Detail-oriented and persistent in solving problems

Comfortable working in a fast-paced, dynamic environment

Passionate about learning and continuously improving—especially in the evolving AI/ML landscape

Bachelor’s degree in computer science, information systems, a quantitative field, or equivalent practical experience

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 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.

For information on California Privacy Policy, click here .

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. Please see our General Privacy Notice and California Privacy Notice for more details.

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.