Data Engineer II

Duration: 12 Month Contract (Possible Extension or C-T-H) Location: Onsite (Irving, TX) Our client is the world’s leading convenience store chain, recognized for delivering fast, convenient, and fresh experiences for millions of customers every day. With thousands of stores across the globe, this company is committed to innovation, community engagement, and providing essential products and services whenever and wherever they are needed. Job Title: Data Engineer Location: Onsite Duration: 12-Month Contract (Possible Extension) Job Overview We are seeking an experienced Data Engineer to join our team on a 12-month onsite contract, with potential for extension. In this role, you will design, build, and maintain data pipelines, facilitate data democratization, and enable marketing technology platforms through robust data solutions. You’ll be connecting, ingesting, and exporting data between two Databricks instances, making pipelines available for internal and external stakeholders and supporting complex agentic workflows. You’ll be joining a multidisciplinary MarTech organization spanning four connected work streams, Retail Media (RMN), CRM & Campaigns, Personalization & Web, and a shared MarTech Foundation team, alongside product managers, solution architects, software and data engineers, and QA who build the systems that activate marketing across every customer touchpoint. As a Data Engineer, you will partner 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. Design, build, and operate scalable batch and real-time data pipelines in Databricks and related tooling to support audience, personalization, and measurement use cases. Build and maintain data models, feature/attribute pipelines, and marketing data feeds to decisioning systems and measurement platforms. 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. Provide leadership-ready status, roadmap, and metrics reporting, and prepare decision memos that drive cross-team and leadership alignment. Required Qualifications 3+ years of experience in a data engineering role required . 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) preferred. 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. Bonus Skills Deep expertise in marketing data and marketing technology (martech) environments. Prior experience enabling data democratization and agentic workflows. Experience managing vendor data integrations. Experience in a MarTech, digital marketing, personalization, CRM, or retail-media ecosystem. Familiarity with platforms in our stack, e.g., Salesforce Marketing Cloud (SFMC), Databricks, Hightouch, Kafka, Contentstack / CMS & DAM, LiveRamp / UID2. Retail or convenience-retail industry experience You will receive the following benefits: Medical Insurance & Health Savings Account (HSA) Vision 401(k) Applicants must be currently authorized to work in the United States on a full-time basis now and in the future. #J-18808-Ljbffr Motion Recruitment