Data Engineer

We are seeking a Data Engineer to join a growing team focused on building scalable data solutions that support analytics, customer insights, and digital experiences. This role will design and develop data pipelines and collaborate closely with cross-functional teams to enable data-driven decision making. Key Responsibilities • Design, build, and maintain scalable data pipelines and data platforms. • Optimize existing data workflows to improve performance and efficiency. • Partner with product managers, analysts, and architects to translate business requirements into technical solutions. • Support analytics initiatives by developing reliable data infrastructure and enabling insights. • Communicate effectively with both technical and non-technical stakeholders on integration plans and design decisions. • Contribute to data engineering standards, documentation, and best practices. Requirements • 3–5 years of experience in data engineering or related roles. • Strong experience building and designing data pipelines. • Hands-on experience with Databricks (required). • Strong proficiency in Python, SQL, and Spark/PySpark. • Experience working with cloud platforms (AWS or Azure). • Solid understanding of ETL processes, data lakes, data warehouses, and batch/streaming architectures. • Experience supporting data analytics workflows and business intelligence needs. • Strong communication skills and ability to explain technical design choices. • Ability to work on-site in Irving, TX 5x a week. Preferred • Experience with data orchestration tools such as Airflow. • Familiarity with data visualization tools such as Tableau or Power BI. • Exposure to customer data platforms (CDPs).