Data & Analytics Engineer

Revelyst Operations LLC; Irvine (CA); Presencial; USD 100.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical & dental coverage

Vision coverage

Disability & life insurance

401K

PTO & holidays

Gear discounts

Descripción de la vacante

Revelyst in Irvine, CA is seeking a hands-on data engineer/BI engineer to develop and support data pipelines, data models, and reporting solutions that empower reliable business decisions. You will work across ERP, CRM, e-commerce, and other sources, partnering with Finance and analytics teams to ensure data is accessible, governed, and optimized for Power BI dashboards and analytics.

You will own end-to-end data flows, monitor data quality, collaborate with external partners, and help scale our

Formación

• 3+ years in data engineering or analytics roles.
• Strong SQL and data modeling skills.
• Experience with ETL/ELT pipelines and data transformations.
• Hands-on Power BI development and data modeling.
• Experience with cloud data platforms and data warehouses.

Responsabilidades

• Design, develop, maintain data pipelines across enterprise apps.
• Build scalable data models and ETL/ELT processes for reporting.
• Implement data quality checks, monitoring, and alerts.
• Develop Power BI datasets, semantic models, dashboards, and reports.
• Support and evolve the Microsoft Fabric environment.

Conocimientos

SQL

Python

Power BI

Databricks

Spark

Git CI/CD

ETL/ELT

Data modeling

Data quality

Herramientas

Databricks

Microsoft Fabric

Power BI

Azure Data Factory

Azure Synapse

SAP ERP

Oracle ERP

Salesforce CRM

Descripción del empleo

Job Description Primary Objective of Position

The data and analytics capabilities supporting Revelyst positioned in our Irvine, California office. This is a hands-on technical role responsible for developing and supporting data pipelines, data models, reporting solutions, and the underlying analytics environment that enables reliable business decision-making. This position will serve as a key technical resource for the enterprise data ecosystem, working across enterprise platforms including ERP, CRM, e-commerce/B2B, custom applications, and other operational data sources. The role will partner closely with Finance, business analysts, application teams, and external technology partners to ensure data is accessible, reliable, appropriately governed, and structured for reporting and analytics. The successful candidate will combine strong data engineering fundamentals, including hands-on Databricks and Spark experience, with working business intelligence experience and an interest in growing into broader data architecture and platform ownership responsibilities.

Key Responsibilities

• Design, develop, maintain, and support data pipelines and integrations across enterprise applications, APIs, databases, and cloud data platforms such as Databricks and Microsoft Fabric.
• Build and maintain scalable data models, transformations, and ETL/ELT processes that provide reliable, usable data for reporting and analytics.
• Implement pipeline orchestration, monitoring, alerting, and automated data-quality checks to keep production data flows reliable and observable.
• Develop and support Power BI datasets, semantic models, dashboards, and reports supporting 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.
• Identify 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.
• Partner with business analysts, application teams, and technology partners to translate business and reporting needs into scalable technical solutions.
• Identify opportunities to simplify and automate the data environment while helping build a foundation that supports future analytics, AI, and automation capabilities.

Minimum Qualifications

• 3+ years of experience in data engineering, business intelligence, analytics engineering, or a related technical role.
• Strong SQL skills and 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 and working with data from multiple business systems, databases, APIs, or other data sources.
• Strong troubleshooting and problem-solving skills, including the ability to investigate data-quality, pipeline, reporting, and performance issues.
• Strong communication and collaboration skills with the ability to work effectively with both technical and business teams.
• Equivalent professional experience and demonstrated technical capability will be considered in place of formal education requirements.

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 commonly used in 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 Ecomm/subscriptions/software business model.

Key Soft Skills

• Strong analytical and problem-solving skills with a natural curiosity to understand how data, systems, and business processes connect.
• Proactive and resourceful, with the ability to independently investigate issues and drive solutions through completion.
• Strong attention to detail while maintaining an understanding of broader business objectives and priorities.
• Effective communicator who can translate technical concepts and data issues for both technical and non-technical stakeholders.
• Collaborative and comfortable 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.

Pay Range

Pay Range: Annual Salary: $100,000.00 - $120,000.00

The actual annual salary offered to a candidate will be based on variables including experience, geographic location, education, and skills/achievements, and will be mutually agreed upon at the time of offer. We offer a highly competitive salary, comprehensive benefits including:

• medical and dental, vision, disability and life insurance, 401K, PTO, paid holidays, gear discounts and the ability to add value to an exciting mission!

Equal Opportunity Employer

Protected Veteran/Disabled Revelyst is a collective of makers that design and manufacture performance gear and precision technologies. Our category-defining brands leverage meticulous craftsmanship and cross-collaboration to pursue new innovations that redefine what is humanly possible in the outdoors. Portfolio brands include Foresight Sports, Bushnell Golf, Fox, Bell, Giro, CamelBak, Bushnell, Simms Fishing and more. Revelyst is an equal opportunity employer. All applicants are considered for employment without regard to race, color, sex (including pregnancy and related conditions, sexual orientation, or transgender status), national origin, religion, age (40 and older), equal pay, disability or genetic information (including family medical history or genetic tests or services), and retaliation for filing a charge, reasonably opposing discrimination, or participating in a discrimination lawsuit, investigation, or proceeding, and any other characteristics protected by law. The EEO Law poster is available here: https://www.eeoc.gov/poster. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to [e-mail].

Please note that this email address is for accommodation purposes only. Revelyst will not respond to inquiries for other purposes.