Data Engineer, CRM

7-Eleven • Irving, TX

21h

About The Position

The Data Engineer, CRM designs and implements scalable data capabilities that support customer segmentation, personalization, campaign activation, customer analytics, and measurement for 7-Eleven’s Customer Relationship Management organization. This role integrates customer, transaction, loyalty, digital, campaign, and behavioral data from multiple source systems and builds trusted, curated datasets for customer profiles, segmentation, personalization, campaign execution, and campaign performance measurement. The Senior Data Engineer develops and supports batch and near-real-time data solutions, improves the performance and reliability of production data workflows, and applies strong data engineering practices to ensure customer data is accurate, timely, secure, and fit for business use. The role works across CRM, Marketing, Analytics, Product, Solutions Architecture, and Engineering teams. The successful candidate can independently own technical solutions, lead projects, translate business requirements into reliable implementations, and provide technical guidance to other engineers.

Requirements

• Bachelors/4 Yr Degree
• 4+ years of relevant work experience
• Strong technical foundation in Python, SQL, Spark, or PySpark.
• Experience with data modeling, customer analytics, data integration, and analytics workflows.
• Experience with one or more cloud platforms, such as AWS, Azure, or Google Cloud.
• Deep understanding of data engineering fundamentals, including database architecture and design, ETL/ELT processes, data lakes, data warehousing, and batch and streaming technologies.
• Experience building and supporting production data pipelines and workflows.
• Experience with data orchestration tools such as Airflow and data processing platforms such as Spark or Databricks.
• Understanding of data quality, observability, governance, privacy, security, and access controls for customer data.
• Experience working with analytics teams and understanding metrics development, business intelligence requirements, and campaign or customer performance reporting.
• Proven ability to independently own technical solutions, lead projects, and work effectively across multiple teams.
• Strong communication, interpersonal, and presentation skills, with the ability to communicate effectively with technical and non-technical audiences.

Nice To Haves

• Experience with customer relationship management, loyalty, marketing technology, customer data platforms, or campaign activation.
• Experience with customer and marketing platforms such as Hightouch, Salesforce Marketing Cloud, or Vibes.
• Experience supporting customer segmentation, identity resolution, audience creation, personalization, or marketing measurement.
• Experience with Databricks or similar cloud data platforms.
• Experience with data visualization tools such as Tableau or Power BI.
• Experience with streaming and event-driven technologies such as Kafka, Kinesis, Pub/Sub, or Event Hubs.
• Experience with experimentation, attribution, marketing analytics, or customer lifetime value analysis.
• Experience with CI/CD, infrastructure as code, automated testing, and production monitoring.

Responsibilities

• Design, develop, and implement scalable data pipelines and platform capabilities for CRM and customer data use cases.
• Integrate customer, transaction, loyalty, digital, campaign, and behavioral data from multiple source systems.
• Build and maintain curated datasets that support customer profiles, segmentation, personalization, campaign execution, and campaign performance measurement.
• Develop data solutions for batch and near-real-time CRM activation and analytics use cases.
• Optimize existing data workflows and systems to improve performance, reliability, scalability, and cost efficiency.
• Apply data engineering practices that ensure customer data is accurate, timely, secure, and fit for business use.
• Partner with CRM, Marketing, Analytics, Product, Solutions Architecture, and Engineering teams to understand requirements and deliver high-quality solutions.
• Build data infrastructure that supports metrics, reporting, experimentation, business intelligence, and customer or campaign performance analysis.
• Partner with stakeholders to define data mappings, business rules, success metrics, and acceptance criteria.
• Contribute to data engineering standards, processes, documentation, testing, monitoring, and operational support.
• Provide technical guidance to other engineers and contribute to a collaborative, high-performing team environment.
• Stay current with data engineering, CRM, customer data platform, and marketing technology trends, and contribute ideas for new tools and approaches.
• Communicate effectively with technical and non-technical stakeholders and translate business needs into technical implementations.

Benefits

• For a general description of all benefits 7-Eleven is offering in the US for the position, please visit this link.
• For a general description of all benefits 7-Eleven is offering in Canada for the position, please visit this link.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior