Data Engineer

7-Eleven

Data Engineer at 7-Eleven responsible for building data pipelines and working on MarTech capabilities. Collaborating with various teams to ensure data quality and accessibility for customer insights.

Posted 7/22/2026full-timeIrving • Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operating scalable data pipelines using Databricks and related tools, with a strong focus on data quality, governance, and compliance. Proficient in SQL and programming languages like Python or Scala, with hands-on experience in real-time data processing and customer data modeling.

Highest-signal resume keywords

DatabricksSQLPythonKafkaData Quality

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline EngineeringData Lake/Warehouse DesignEvent-Driven ArchitectureData ModelingChange Management

Tools & Technologies

HightouchSalesforce Marketing CloudSparkAWSAzure

Certifications & Qualifications

Databricks CertificationAWS CertificationAzure Certification

Industry Keywords

Customer 360RFMLTVLoyaltyPII Compliance

Tech Stack

Tools & technologies

AWSAzureCloudETLKafkaPythonScalaSparkSQL

About the role

Key responsibilities & impact

Design, build, and operate scalable batch and real-time data pipelines in Databricks and related tooling to support audience, personalization, and measurement use cases.
Engineer event-driven streaming (e.g., Kafka) for loyalty, pump, and transaction events to enable near-real-time personalization.
Build and maintain the Customer 360 data model, feature/attribute pipelines, and promotion/offer data feeds to decisioning systems.
Implement data-quality validation, monitoring, and change management so segments, flags, and attributes are accurate and trustworthy.
Deliver governed customer attributes and audiences to activation platforms (e.g., Hightouch, Salesforce Marketing Cloud) with clear ownership and documentation.
Partner with data science to productionize model features and with architecture to align on data contracts and identity resolution.
Support privacy and compliance requirements across all data flows.

Requirements

What you’ll need

Bachelors/4 Yr Degree
4+ years of relevant work experience
Databricks or cloud (AWS/Azure) certifications preferred.
Strong SQL and proficiency in a programming language for data engineering (e.g., Python or Scala).
Hands-on experience with Databricks/Spark, data lake/warehouse design, and pipeline orchestration.
Experience with real-time/streaming data (e.g., Kafka) and event-driven architectures.
Experience with reverse-ETL/activation and identity resolution (e.g., Hightouch, LiveRamp/UID2) is a plus.
Understanding of data modeling, data quality, governance, and change management.
Familiarity with marketing/customer data concepts (C360, RFM, LTV, loyalty) and compliant handling of PII.

Benefits

Comp & perks

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.