Customer Experience Data Engineer

Headquartered in Birmingham, Alabama, Moultrie (www.moultrieproducts.com) is the leader in game feeders and cellular camera innovation, building products used by hunters, property owners, and others for real-time remote monitoring. We take pride in developing deep user understanding, obsessing about the details, and going the extra mile to show our users we love them. Moultrie is customer-driven – hardware, software, marketing, and customer success teams collaborate to deliver a quality user experience. As a business unit of EBSCO Industries (www.ebscoind.com), we offer the stability and benefits of a firmly established corporation while operating as a growth-focused team with the entrepreneurial spirit of a startup.
We are guided by the following principles: Customer Obsession.; Excellence is the Standard.; Bias for Action.; Act Boldly.; Deliver Results.; Hire and Develop the Best.; Be Curious and Learn.; Win as a Team.; Grow or Die.

Moultrie is looking for a CX Data Engineer to optimize, maintain, and analyze customer experience data to drive engagement, retention, and business insights. This role will ensure data quality, scalable analytics infrastructure, and predictive modeling capabilities to support CX decision-making.

In addition to building and maintaining data pipelines, this role will develop foundational predictive models to analyze customer behavior and enhance personalization. The ideal candidate has strong data engineering skills and a working knowledge of predictive analytics to support Moultrie’s long-term CX strategy.

 

Key Responsibilities

CX Data Infrastructure & ETL Optimization

• Design, implement, and optimize CX data pipelines and databases for scalable, real-time analytics.
• Maintain ETL workflows (Fivetran, dbt, Airflow, Azure Data Factory) to automate data ingestion from Zendesk, NPS, e-commerce reviews, app reviews, and cancellation data.
• Write stored procedures and ETL packages to support CX-related database activities.
• Ensure data consistency, accuracy, and completeness across all CX sources.
• Improve data refresh schedules for real-time reporting in Tableau and other BI tools.

Data Quality & Governance

• Develop and enforce data validation and governance processes to ensure high-quality, reliable CX insights.
• Identify and resolve data inconsistencies, duplication issues, and integration gaps.
• Monitor and troubleshoot operational database issues related to CX analytics.
• Implement log analytics processing, monitoring, and alerting to detect data inconsistencies.

Advanced CX Analytics & Insights

• Develop customer segmentation models to improve retention and engagement strategies.
• Use SQL, Python, and cloud-based analytics tools to extract insights from CX data sources.
• Build and optimize views, reports, stored procedures, and jobs to support CX teams and leadership.
• Work with Product, Marketing, and Customer Success teams to ensure CX insights drive decision-making.

Basic Predictive Modeling & Personalization

• Support churn prediction modeling and customer health scoring to drive proactive interventions.
• Implement behavioral analytics to refine High-Value Action (HVA) recommendations and customer engagement strategies.
• Develop basic machine learning models to predict user engagement patterns and optimize CX interventions.
• Assist in evaluating AI-driven personalization strategies, working cl