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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Sally Beauty Supply - **Location:** Denton, TX, United States - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Storage, Information Systems, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Warehousing, Database Development, Apache Hive, Python (Programming Language), Machine Learning, Metadata, Performance Tuning, Power BI, DataOps, Azure Data Lake, Software Engineering, SQL Databases, Data Processing, Google Cloud, Enterprise Software Applications, Data Ingestion, Apache Spark, Change Data Capture, Data Lakes, Pyspark, Information Technology, Restful APIs, Data Pipelines, Databricks - **Published:** September 23, 2026 - **Apply:** https://eigx.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_13/requisitions/preview/54563?utm_medium=jobshare ## About the Role * Bachelor's degree in computer science, Information Systems, Software Engineering, Data Engineering, or a related technical field. * 3+ years of experience in Data Engineering or Software Engineering. * 1+ years of hands-on experience with the Databricks Lakehouse Platform. * Experience with Azure Data Lake Storage (ADLS), Amazon S3, or similar cloud storage platforms. * Experience with Microsoft Azure, AWS, or Google Cloud Platform (Azure preferred). * Experience supporting enterprise analytics platforms such as Power BI. * Retail, merchandising, supply chain, or eCommerce experience preferred. Competencies & attributes * Databricks Lakehouse Platform * Delta Lake and Delta Live Tables (DLT) * Unity Catalog * Medallion Architecture (Bronze, Silver, Gold) * ETL/ELT Pipeline Development * Data Modeling and Data Warehousing * Lakehouse Architecture * SQL Development and Performance Optimization * Python Programming * REST API and Enterprise System Integration * Azure Data Lake Storage (ADLS) or Cloud Object Storage * Azure, AWS, or Google Cloud Platform * Business Intelligence and Analytics Support * Analytical and Problem-Solving Skills * Strong Written and Verbal Communication * Cross-Functional Collaboration * Planning, Organization, and Time Management * Results-Oriented with Strong Attention to Detail ## Description This is a hybrid position working from our Legacy West Support Center in Plano, Texas. The Data Engineer is responsible for supporting the design, development, and maintenance of enterprise data solutions on the Data Bricks Lake House Platform. This role works closely with senior Data Engineers, Data Architects, Analytics Engineers, and business stakeholders to develop data pipelines, transform and validate data, and support reporting, analytics, artificial intelligence (AI), and machine learning (ML) initiatives. The Data Engineer I will participate in the implementation of modern cloud-based data solutions while developing technical expertise in data engineering best practices. Responsibilities * Design, develop, and maintain scalable data pipelines using the Databricks Lakehouse Platform. * Build ETL/ELT processes utilizing Apache Spark, PySpark, Spark SQL, and Delta Lake. * Design and implement Medallion Architecture (Bronze, Silver, Gold). * Develop batch and streaming data ingestion pipelines from enterprise systems, APIs, and cloud platforms. * Build reusable data transformation frameworks using PySpark and SQL. * Optimize Spark jobs and Delta Lake tables for performance, scalability, and cost efficiency. * Configure and support Unity Catalog for data governance, security, and lineage. * Develop workflows using Databricks Workflows and Jobs. * Support Change Data Capture (CDC) and incremental data processing. * Build semantic data models supporting reporting, analytics, AI, and machine learning. * Implement automated testing, monitoring, and alerting for data pipelines. * Create technical documentation, metadata, and operational standards. * Research and recommend new technologies and platform enhancements ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)