Sr. Data Engineer

Job Summary SHI One is an exciting team within the Advanced Solutions Group of SHI that is building new digital experiences for our internal users, customers and partners. The Senior Data Engineer will be responsible for the analysis, design, and development of solutions focused on data engineering and ETL workflows. As a Sr. Software Engineer - Data, you will work with customers and internal stakeholders to understand their business needs and help them achieve outcomes with your solutions and guidance. You will research all data sources concerning business operations and be responsible for outlining designs to integrate, centralize, and maintain the data. You will help to establish a new data engineering practice and be a technical leader within the Product organization. Role Description Help to drive our organizational data strategy, including data model designs, database development standards, implementation and management of data warehouses and data analytics systems Share expertise by collaborating and coaching team members through code and design reviews to ensure code integration into systems is up to team standards Set a positive example for the team by consistently shipping high quality solutions and maintaining a high standard of technical excellence Coordinate and collaborate with development teams, stakeholders, and customers for smooth functioning of data systems Extend and support a dataengineering environment with a focus on developer experience that facilitates maximum efficiency, testing, and integration Make recommendations for continuous improvement of our existing data and ETL processes Participate in optimizing our end-to-end data architecture, from selection of technology, design, development, security, and testing of applications Lead in the creation and maintenance of technical documentation, architecture diagrams and visualizations for development teams and internal stakeholders Review best practices around data architecture with internal team members Key Qualifications Bachelor's degree or relevant work experience Minimum 10 years' experience developing data applications, relational databases, and ETL platforms Previous Experience building highly available and testable ETL systems that support critical business operations Expert knowledge of data modeling, database design, and data warehousing Expert knowledge of SQL scripting Demonstrates excellent spoken and written communication as well as receptive listening skills Ability to present ideas in a clear, concise fashion to technical and non-technical audiences Ability to shift priorities, demands and timelines through analytical and problem-solving capabilities Strong ability to work independently or in a team-oriented, collaborative environment Ability to take initiative and prioritize tasks Excellent time-management skills Strong problem prevention, and problem-solving skills Ability to effectively prioritize and execute tasks Preferred Skills Computer science education or equivalent experience Hands-on experience with Databricks Hands-on experience with PowerBI report development Hands-on experience and knowledge of the Python programming language Experience processing and reporting against large amounts of financial data in a scalable fashion Public cloud expertise and/or certifications - Azure, AWS, GCP Hands-on experience with DevOps methodologies and concepts including CI/CD, IaC and automated testing The estimated annual pay range for this position is $150,000 - $190,000 which includes a base salary. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual. Benefits may include, but are not limited to, medical, vision, dental, 401K, and flexible spending. Equal Employment Opportunity – M/F/Disability/Protected Veteran Status #J-18808-Ljbffr