Data Engineer - Mark Tech

SuperMom's LLC; Irving (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

7-Eleven is seeking a Data Engineer to design and operate scalable data pipelines for Customer 360 and personalization initiatives. You will work with Databricks/Spark to build batch and streaming pipelines, and ensure data quality and governance across marketing data assets.

You will partner with data science and MarTech teams to deliver governed attributes and activation-ready datasets while supporting privacy and compliance requirements in a fast-paced retail data environment.

Qualifications

• Strong SQL and Python/Scala programming skills.
• Experience with Databricks/Spark and data lake/warehouse design.
• Experience with real-time streaming (Kafka) and event-driven architectures.
• Familiarity with reverse-ETL and identity resolution tools.

Responsibilities

• Design, build, and operate scalable batch and real-time data pipelines.
• Develop Customer 360 data model and data feeds to activation platforms.
• Implement data-quality monitoring and governance across data flows.
• Collaborate with data science and marketing tech teams to enable personalization.

Skills

SQL

Python

Scala

Databricks/Spark

Kafka

Reverse-ETL

Identity resolution

Data modeling

Data governance

Education

Bachelor's degree in a related field

Tools

Databricks

Spark

Kafka

Hightouch

LiveRamp/UID2

Salesforce Marketing Cloud

Job description

## Data EngineerApplylocations: SSC Irving TX: Dallas, TXtime type: Full timeposted on: Posted Todayjob requisition id: R26\_4655*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 builds and maintains the data pipelines, models, and real-time streams that serve as the foundation for 7-Eleven’s Marketing Technology (MarTech) personalization, decisioning, and measurement capabilities. This role is responsible for making Customer 360 (C360) a reliable single source of truth, engineering batch and event-driven pipelines (including loyalty, promotion, and pump/transaction data), and delivering governed, well-documented customer attributes to downstream activation platforms. The Data Engineer partners with data science, architecture, MarTech engineering, and platform owners to close upstream data-quality, freshness, and coverage gaps that limit personalization today. This role directly enables timely, accurate, and compliant use of customer data across every marketing channel.**KEY DUTIES AND RESPONSIBILITIES****:*** 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.**EDUCATION AND EXPERIENCE:****EDUCATION:** Bachelors/4 Yr Degree**YEARS OF RELEVANT WORK EXPERIENCE:** 4+ years**CERTIFICATIONS / LICENSES:** Databricks or cloud (AWS/Azure) certifications preferred.**SPECIFIC KNOWLEDGE AND SKILLS****:*** 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.*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.*