Boot Barn
DATA ENGINEER
REPORTS TO: DIRECTOR OF SOFTWARE DEVELOPMENT AND INTEGRATIONS
STATUS: EXEMPT
Summary
Boot Barn is where community comes first. We thrive on togetherness, collaboration, and belonging. We build each other up, listen intently, and implement out-of-the-box ideas. We celebrate new innovations, congratulate one another's achievements, and most importantly support each other.
At Boot Barn, we work together to make a positive impact on the world around us, and by working collectively with encouragement, we consider ourselves "Partners." With the values of the West guiding us, Boot Barn celebrates heritage, welcomes all, and values each unique Partner within our Boot Barn community.
Our vision is to offer everyone a piece of the American spirit - one handshake at a time.
The Data Engineer designs, automates, and observes end to end data pipelines that feed our Kubeflow driven machine learning platform, ensuring models are trained, deployed, and monitored on trustworthy, well governed data. You will build batch/stream workflows, wire them into Azure DevOps CI/CD, and surface real time health metrics in Prometheus + Grafana dashboards to guarantee data availability. The role bridges Data Engineering and MLOps, allowing data scientists to focus on experimentation and the business sees rapid, reliable predictive insight.
Essential Duties and Responsibilities Design and implement batch and streaming pipelines in Apache Spark running on Kubernetes and Kubeflow Pipelines to hydrate feature stores and training datasets. Build high throughput ETL/ELT jobs with SSIS, SSAS, and T SQL against MS SQL Server, applying Data Vault style modeling patterns for auditability. Integrate source control, build, and release automation using GitHub Actions and Azure DevOps for every pipeline component. Instrument pipelines with Prometheus exporters and visualize SLA, latency, and error budget metrics to enable proactive alerting. Create automated data quality and schema drift checks; surface anomalies to support a rapid incident response process. Use MLflow Tracking and Model Registry to version artifacts, parameters, and metrics for reproducible experiments and safe rollbacks. Work with data scientists to automate model retraining and deployment triggers within Kubeflow based on data freshness or concept drift signals. Develop PowerShell and .NET utilities to orchestrate job dependencies, manage secrets, and publish telemetry to Azure Monitor. Optimize Spark and SQL workloads through indexing, partitioning, and cluster sizing strategies, benchmarking performance in CI pipelines. Document lineage, ownership, and retention policies; ensure pipelines conform to PCI/SOX and internal data governance standards. Demonstrates high level of quality work, attendance and appearance. Demonstrates high degree of professionalism in communication, attitude and teamwork with customers, peers and management. Adhere to all local, federal and state laws in addition to Company policies, procedures, and practices. Performs any other duties that may be assigned by management. Additional Responsibilities
Provide production support for data-pipeline incidents and lead post-mortems focused on continuous improvement. Mentor engineers on best practices in containerized data engineering and MLOps. Demonstrates high level of quality work, attendance and appearance Adheres to all Company Policies & Procedures and Safety Regulations Adheres to local, state and federal laws Perform other duties as assigned in alignment with evolving business priorities. Understands and complies with all company rules and regulations No direct reports; may lead ad-hoc project teams or vendor resources during integration projects. Qualifications
Strong communication, customer service, time management and organizational skills. Bachelor's in Computer Science, Data Engineering, or related field; Masters preferred. 4+ years building data pipelines in Spark or equivalent; 2+ years deploying workloads on Kubernetes/Kubeflow; experience with MLflow or similar experiment-tracking tools. Proficient in T-SQL, Python/Scala for Spark, PowerShell/.NET scripting; hands-on with GitHub, Azure DevOps, Prometheus, Grafana, and SSIS/SSAS. Kubernetes CKA/CKAD, Azure Data Engineer (DP-203), or MLOps-focused certifications (e.g., Kubeflow or MLflow) are advantageous. Strong problem-solving, communication, and stakeholder-management skills; thrives in agile, cross-functional teams. Competencies
Ensure Effective Communication - Listens carefully and attentively to others' opinions and ideas. Communicates information clearly, concisely, and professionally. Establish Trust - Follows through on commitments. Is honest and direct with others. Promotes a culture of respect for, commitment to, and compliance with Company values, beliefs, and standards. Ensures the protection of confidential information. Boot Barn Benefits & Additional Compensation Opportunities
Competitive salary. Merchandise discount: 50% off of Exclusive Brands and 40% off of third-party brands. Paid Time Off plan for year-round Boot Barn Partners.** Medical, Dental, Vision and Life Insurance.** 401(k) plan with generous company matching. Flexible schedules and work/life balance. Opportunities for growth at every level - we are opening 50+ new stores each year. **For eligible Boot Barn Partners
PAY RANGE: $110,000.00 - $130,000.00*
*compensation varies based on geography, skills, experience, and tenure
Physical Demands
In general, the following physical demands are representative of those that must be met by a Partner to successfully perform the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job.
Standing, walking and squatting less than fifty percent of the work shift. Required to lift, move and carry up to 40 pounds. Ability to read, count and write to accurately complete all documentation and reports. Must be able to see, hear and speak in order to communicate with partners and customers. Specific vision abilities include close vision, distance vision, peripheral vision, depth perception and ability to adjust focus. Manual dexterity required using hands to finger; handle, feel and type; reach with hands and arms. [ ] Sedentary: Limited activity, no lifting, limited walking
[ X ] Light: Office work, some lifting, bending, stooping or kneeling, walking
[ ] Moderate: Mostly standing, walking, bending, frequent lifting
[ ] Arduous: Heavy lifting, bending, crawling, climbing
Work Environment
In general, the following conditions of the work environment are representative of those that a Partner encounters while performing the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job within the environment.
The workspace is clean, orderly, properly lighted and ventilated with the proper safety compliance. Noise levels are considered moderate.
Boot Barn, Inc. reserves the right to make exceptions to modify or eliminate this document or its content. This document supersedes all previous policies, procedures or guidelines pertaining to this subject.
Our core value of community bands us together in supportive and inclusive ways to drive our collective success. Boot Barn provides equal employment opportunity to all applicants and employees without regard to race, color, religion, sex, sexual orientation, age, national or ethnic origin, veteran or military status, disability, as well as any other protected status under the law.
Americans with Disabilities Act (ADA) - Boot Barn will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required by applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Boot Barn Store or Distribution Center or reach out to Human Resources at 1-949-453-4400, Option 4.
California Privacy Notice
REPORTS TO: DIRECTOR OF SOFTWARE DEVELOPMENT AND INTEGRATIONS
STATUS: EXEMPT
Summary
Boot Barn is where community comes first. We thrive on togetherness, collaboration, and belonging. We build each other up, listen intently, and implement out-of-the-box ideas. We celebrate new innovations, congratulate one another's achievements, and most importantly support each other.
At Boot Barn, we work together to make a positive impact on the world around us, and by working collectively with encouragement, we consider ourselves "Partners." With the values of the West guiding us, Boot Barn celebrates heritage, welcomes all, and values each unique Partner within our Boot Barn community.
Our vision is to offer everyone a piece of the American spirit - one handshake at a time.
The Data Engineer designs, automates, and observes end to end data pipelines that feed our Kubeflow driven machine learning platform, ensuring models are trained, deployed, and monitored on trustworthy, well governed data. You will build batch/stream workflows, wire them into Azure DevOps CI/CD, and surface real time health metrics in Prometheus + Grafana dashboards to guarantee data availability. The role bridges Data Engineering and MLOps, allowing data scientists to focus on experimentation and the business sees rapid, reliable predictive insight.
Essential Duties and Responsibilities Design and implement batch and streaming pipelines in Apache Spark running on Kubernetes and Kubeflow Pipelines to hydrate feature stores and training datasets. Build high throughput ETL/ELT jobs with SSIS, SSAS, and T SQL against MS SQL Server, applying Data Vault style modeling patterns for auditability. Integrate source control, build, and release automation using GitHub Actions and Azure DevOps for every pipeline component. Instrument pipelines with Prometheus exporters and visualize SLA, latency, and error budget metrics to enable proactive alerting. Create automated data quality and schema drift checks; surface anomalies to support a rapid incident response process. Use MLflow Tracking and Model Registry to version artifacts, parameters, and metrics for reproducible experiments and safe rollbacks. Work with data scientists to automate model retraining and deployment triggers within Kubeflow based on data freshness or concept drift signals. Develop PowerShell and .NET utilities to orchestrate job dependencies, manage secrets, and publish telemetry to Azure Monitor. Optimize Spark and SQL workloads through indexing, partitioning, and cluster sizing strategies, benchmarking performance in CI pipelines. Document lineage, ownership, and retention policies; ensure pipelines conform to PCI/SOX and internal data governance standards. Demonstrates high level of quality work, attendance and appearance. Demonstrates high degree of professionalism in communication, attitude and teamwork with customers, peers and management. Adhere to all local, federal and state laws in addition to Company policies, procedures, and practices. Performs any other duties that may be assigned by management. Additional Responsibilities
Provide production support for data-pipeline incidents and lead post-mortems focused on continuous improvement. Mentor engineers on best practices in containerized data engineering and MLOps. Demonstrates high level of quality work, attendance and appearance Adheres to all Company Policies & Procedures and Safety Regulations Adheres to local, state and federal laws Perform other duties as assigned in alignment with evolving business priorities. Understands and complies with all company rules and regulations No direct reports; may lead ad-hoc project teams or vendor resources during integration projects. Qualifications
Strong communication, customer service, time management and organizational skills. Bachelor's in Computer Science, Data Engineering, or related field; Masters preferred. 4+ years building data pipelines in Spark or equivalent; 2+ years deploying workloads on Kubernetes/Kubeflow; experience with MLflow or similar experiment-tracking tools. Proficient in T-SQL, Python/Scala for Spark, PowerShell/.NET scripting; hands-on with GitHub, Azure DevOps, Prometheus, Grafana, and SSIS/SSAS. Kubernetes CKA/CKAD, Azure Data Engineer (DP-203), or MLOps-focused certifications (e.g., Kubeflow or MLflow) are advantageous. Strong problem-solving, communication, and stakeholder-management skills; thrives in agile, cross-functional teams. Competencies
Ensure Effective Communication - Listens carefully and attentively to others' opinions and ideas. Communicates information clearly, concisely, and professionally. Establish Trust - Follows through on commitments. Is honest and direct with others. Promotes a culture of respect for, commitment to, and compliance with Company values, beliefs, and standards. Ensures the protection of confidential information. Boot Barn Benefits & Additional Compensation Opportunities
Competitive salary. Merchandise discount: 50% off of Exclusive Brands and 40% off of third-party brands. Paid Time Off plan for year-round Boot Barn Partners.** Medical, Dental, Vision and Life Insurance.** 401(k) plan with generous company matching. Flexible schedules and work/life balance. Opportunities for growth at every level - we are opening 50+ new stores each year. **For eligible Boot Barn Partners
PAY RANGE: $110,000.00 - $130,000.00*
*compensation varies based on geography, skills, experience, and tenure
Physical Demands
In general, the following physical demands are representative of those that must be met by a Partner to successfully perform the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job.
Standing, walking and squatting less than fifty percent of the work shift. Required to lift, move and carry up to 40 pounds. Ability to read, count and write to accurately complete all documentation and reports. Must be able to see, hear and speak in order to communicate with partners and customers. Specific vision abilities include close vision, distance vision, peripheral vision, depth perception and ability to adjust focus. Manual dexterity required using hands to finger; handle, feel and type; reach with hands and arms. [ ] Sedentary: Limited activity, no lifting, limited walking
[ X ] Light: Office work, some lifting, bending, stooping or kneeling, walking
[ ] Moderate: Mostly standing, walking, bending, frequent lifting
[ ] Arduous: Heavy lifting, bending, crawling, climbing
Work Environment
In general, the following conditions of the work environment are representative of those that a Partner encounters while performing the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job within the environment.
The workspace is clean, orderly, properly lighted and ventilated with the proper safety compliance. Noise levels are considered moderate.
Boot Barn, Inc. reserves the right to make exceptions to modify or eliminate this document or its content. This document supersedes all previous policies, procedures or guidelines pertaining to this subject.
Our core value of community bands us together in supportive and inclusive ways to drive our collective success. Boot Barn provides equal employment opportunity to all applicants and employees without regard to race, color, religion, sex, sexual orientation, age, national or ethnic origin, veteran or military status, disability, as well as any other protected status under the law.
Americans with Disabilities Act (ADA) - Boot Barn will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required by applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Boot Barn Store or Distribution Center or reach out to Human Resources at 1-949-453-4400, Option 4.
California Privacy Notice