Design, develop, and maintain scalable data pipelines, transformations, and data models that convert complex data into trusted datasets for analytics, reporting, and operational insights. Implement data quality, monitoring, and reliability practices to ensure data accuracy, availability, performance, and operational excellence across data platforms and pipelines. Partner with business stakeholders, program managers, and engineering teams to translate business requirements into scalable technical solutions and actionable data products. Contribute to the design, automation, and continuous improvement of data platform capabilities, including deployment processes, CI/CD pipelines, metadata management, and operational tooling. Support live-site operations by investigating data issues, responding to incidents, implementing corrective actions, and improving platform resiliency to reduce recurring problems. Collaborate across teams to share best practices, improve engineering standards, evaluate emerging technologies, and drive adoption of modern data engineering capabilities. Embody our culture and values. Bachelor's Degree in Computer Science or related technical field AND 7+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. Experience designing, developing, or supporting data pipelines, ETL/ELT processes, data models, or analytical solutions. Experience with SQL and one or more modern data engineering technologies such as C#, Spark, Python, PySpark, Scala, data warehouses, or cloud-based data platforms. Experience working with business stakeholders to translate business requirements into technical solutions. Experience developing scalable data solutions using C#, SQL, Python, PySpark, Spark SQL, or other distributed data processing technologies, including data modeling and ETL/ELT pipeline development. Experience implementing data engineering operational practices, including source control, CI/CD, automated testing, monitoring, data quality management, and DevOps methodologies. Experience delivering enterprise analytics and reporting solutions, partnering with business stakeholders to transform complex operational data into actionable insights while ap plying appropriate governance, privacy, and compliance practices.
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