Data & Analytics Engineer

Revelyst is seeking a hands-on Data & Analytics Engineer to build and support data pipelines, data models, and reporting solutions from its Irvine, California office. This role collaborates closely with Finance, business analysts, application teams, and technology partners to keep data accessible, reliable, governed, and structured for analytics.

Responsibilities

• Design, develop, maintain, and support data pipelines and integrations across enterprise applications, APIs, databases, and cloud data platforms including Databricks and Microsoft Fabric.
• Build and maintain scalable data models, transformations, and ETL/ELT processes to deliver dependable data for reporting and analytics.
• Implement pipeline orchestration, monitoring, alerting, and automated data-quality checks to ensure production data flows are reliable and observable.
• Develop and support Power BI datasets, semantic models, dashboards, and reports for Finance, Sales, Operations, Supply Chain, and other business functions.
• Monitor and support the Golf data and analytics environment, troubleshooting pipeline failures, reporting issues, performance problems, and data discrepancies.
• Detect data-quality and normalization issues and partner with business and application owners to improve data accuracy, consistency, and governance.
• Support and evolve the data architecture, including transitioning knowledge and ownership of the existing Microsoft Fabric environment from external partners.
• Translate business and reporting needs into scalable technical solutions in collaboration with business analysts, application teams, and technology partners.
• Find opportunities to simplify and automate the data environment, helping establish a foundation for future analytics, AI, and automation capabilities.

Requirements

• 3+ years of experience in data engineering, business intelligence, analytics engineering, or a related technical role.
• Strong SQL skills with experience working with relational and analytical datasets.
• Experience with Git-based version control and engineering practices such as code review, CI/CD, and automated testing of data pipelines.
• Hands-on experience developing and supporting ETL/ELT pipelines, data transformations, and data models.
• Proficiency in Python for data engineering, transformation, and automation.
• Hands-on experience with Power BI, including data modeling, dashboards, reports, and semantic models.
• Experience working with a cloud data platform, data warehouse, lakehouse, or similar analytics environment.
• Experience integrating data from multiple business systems, databases, APIs, or other data sources.
• Strong troubleshooting and problem-solving skills for investigating data-quality, pipeline, reporting, and performance issues.
• Strong communication and collaboration skills to work effectively with both technical and business teams.

Technologies

• Databricks, Microsoft Fabric
• Power BI (including semantic models)
• ETL/ELT
• SQL, Git, CI/CD
• Python
• ERP, CRM, e-commerce/B2B
• APIs, lakehouse, and cloud data platform concepts

Preferred Qualifications

• Experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, or similar modern cloud data platforms.
• Experience integrating data from SAP or Oracle ERP, Salesforce CRM, e-commerce/B2B, and other enterprise business applications.
• Experience working with financial, sales, inventory, customer, supply chain, or other operational business data.
• Familiarity with Python or other scripting languages used for data engineering and automation.
• Experience supporting production data and reporting environments, including monitoring, troubleshooting, and performance optimization.
• Exposure to data governance, data-quality management, AI/advanced analytics, or modern data architecture practices.
• Experience in working with an ecomm/subscriptions/software business model.

Key Soft Skills

• Strong analytical and problem-solving skills with curiosity about how data, systems, and business processes connect.
• Proactive, resourceful, and able to investigate issues independently through completion.
• Strong attention to detail while keeping sight of broader business objectives and priorities.
• Effective communicator able to explain technical concepts and data issues to technical and non-technical stakeholders.
• Collaborative approach with comfort partnering across business teams, application teams, analysts, and external technology partners.
• Adaptable and comfortable working across multiple priorities in a small, fast-moving technology environment.

Compensation and Location

• Location: Irvine, CA (onsite)
• Salary: USD 100,000 - 120,000 per year

Benefits

• Medical and dental
• Vision
• Disability and life insurance
• 401K
• PTO
• Paid holidays
• Gear discounts