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Salary
≈ $83k – $157k per year (Estimated)
Location
In office (Irving)
Seniority
Middle · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Oct 9, 2026.

Overview
Company
Impact
Profile match
7-Eleven is an American convenience store chain headquartered in Irving, Texas that sells food, snacks, coffee, beverages and fuel, generally open around the clock, and runs restaurants and the 7NOW delivery service. Founded in Dallas in 1927 and owned by Japan's Seven and i Holdings, the 7-Eleven brand has more than 86,000 locations worldwide, and the US company operates and franchises stores across the US and Canada. It hires store and restaurant leader trainees, technicians and warehouse associates, category managers, digital product managers, data and software engineers, financial analysts and construction managers.

7-Eleven is an iconic family of brands with over 86,000 locations, surpassing every retailer in the world. We revolutionize convenience, restaurants and fuel through cutting edge innovation - working hard to be the customer's first choice. 7-Eleven empowers our employees to "activate awesome" and make a meaningful impact in their stores and communities every day. If you're ready to grow, lead and make a difference, come join our team and help shape the future of convenience.

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.

KEY DUTIES AND RESPONSIBILITES:

  • 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.

EDUCATION AND EXPERIENCE:

EDUCATION: Bachelors/4 Yr Degree

YEARS OF RELEVANT WORK EXPERIENCE: 4+ years

SPECIFIC KNOWLEDGE AND SKILLS:

  • 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.

Preferred Experience:

· 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.

This job description is intended to describe the general nature and level of the work being performed by the individuals assigned to this job. This is not an exhaustive list of all duties and responsibilities. Management reserves the right to amend and change the duties and responsibilities of this job to meet business and organizational needs, as necessary.

If an hourly or salary range is included in this ad it represents the range 7-Eleven in good faith believes is the range of compensation for this role at the time of this posting. The Company may ultimately pay more or less than the posted range. This range is only applicable for jobs to be performed in this state. This range may be modified in the future. No amount is considered to be wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, long-term incentive compensation, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

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.

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