Senior Associate, Data Engineer (White Plains, New York)

Job Details Location: 44 South Broadway, White Plains, New York 10601 (Fully Onsite) Offered Wage: $137,583.00 - $171,500.00/year Responsibilities Expand and optimize data, data pipelines, data flow and collection for cross-functional teams. Support software developers, database architects, data analysts, and data scientists related to data initiatives and ensure data design and delivery is consistent for business and technical efforts. Identify, design, and implement internal process improvements for greater scalability, optimize data delivery, and automate manual processes. Work with stakeholders to support data infrastructure needs and assist with data-related technical design efforts. Assemble large, complex data sets that meet non-functional and functional business requirements. Build required infrastructure for optimal data extraction, transformation, and loading (ETL) from multiple data sources using SQL technologies. Build analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics, including operational efficiency and customer acquisition. Work with data, design, and product stakeholder teams and executive teams and assist with resolving data-related technical issues. Qualifications Master's degree in Computer Science, Engineering Management, Information Technology, or a related field (foreign education equivalent) plus three years of experience designing, developing, and implementing data solutions to solve business and technical challenges within the annuity and financial services industries. Alternatively, a Bachelor's degree in Computer Science, Engineering Management, Information Technology, or a related field (foreign education equivalent) plus five years of experience in designing, developing, and implementing data solutions to solve business and technical challenges within the annuity and financial services industries. Experience must include 2 years in: writing annuity-specific CRUD operations leveraging SQL, SQL Server, and Oracle relational databases to support annuity administration systems; creating database objects and relational designs to support enhancements; providing subject matter expertise for annuity databases to business and software teams; generating metrics-monitoring applications and dashboards; writing RDBMS annuity administration system data warehouse queries (DDL, DML, DQL) for data retrieval and updates. #J-18808-Ljbffr New York Life