Senior Data Engineer: Build Scalable Pipelines & Governance

Senior Data Engineer: 26-00071 Location: Newport Beach, California, Omaha, Nebraska, or Charlotte, North Carolina. As a Data Engineer you will move the company—and your career—forward by accelerating our data initiatives through modern technical solutions. You will sit on the data team within the technology organization, collaborating with scrum masters, data analysts, and fellow Data, AI, Governance, and QA professionals. Join our highly collaborative, innovative team. Key Responsibilities Partner with data architects, analysts, engineers, and stakeholders to understand data requirements and deliver solutions. Help build scalable products with robust security, quality, and governance protocols. Create low‑level design artifacts, including mapping specifications. Build scalable and reliable data pipelines to support data ingestions (batch and/or streaming) and transformation from multiple data sources using cloud-based technologies. Create unit/integration tests and implement automated build and deployment. Participate in code reviews to ensure standards and best practices. Deploy, monitor, and maintain production systems. Use the Agile Framework to organize, manage, and execute work. Demonstrate adaptability, initiative, and attention to detail through deliverables and ways of working. Qualifications Bachelor’s degree in Computer Science, Data Science, or Statistics. 5+ years of experience in analysis, design, development, and delivery of data projects. 5+ years of experience and proficiency in SQL, ETL, ELT, leading cloud data warehouse technologies, data transformation, and data management tools. Understanding of data engineering best practices and data integration patterns. 2+ years of experience with DevOps and CI/CD. 1+ year of experience (not just a proof‑of‑concept) in using Git and Python. Experience in agile methodologies. Effective communication and facilitation skills, both verbal and written. Team‑oriented: collaborating effectively with team and stakeholders. Analytical skills: strong problem‑solving skills with the ability to break down complex data solutions. What Makes You Stand Out Experience working with Azure DevOps (ADO), Build and Release CI/CD pipelines, and orchestration. Experience working with AWS. Experience with automation, scripting, and testing in a data delivery environment. Understanding of data catalogs, glossary, data quality, and effective data governance. Financial Services/Investments/Insurance domain knowledge. Experience working in complex data systems. Master Data Management/Reference Data experience. Equal opportunity employer. All qualified individuals are encouraged to apply. #J-18808-Ljbffr Platinum Resource Group