Data Analytics Engineer

JOB SUMMARY: The Data Analytics Engineer will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Analytics Engineer will support our data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives. This individual will also be responsible for supporting business units across the organization through the utilization of technical and business knowledge to recommend solutions that solve business problems and reporting needs, amongst other skill sets. This includes identifying and defining data analytics needs as well as the structuring and analysis of data from multiple source systems for the purposes of creating and maintaining reporting (e.g. visual and flowchart modeling). The Data Analytics Engineer works closely with a multifunctional team of data engineers, data analysts, and AI/ML solutions engineers. As a result, this individual is exposed to bleeding-edge generative AI technology and the latest large language models and will have a hand in helping develop full-stack applications that leverage those technologies. ESSENTIAL DUTIES AND RESPONSIBILITIES - Creates and maintains optimal data pipeline architecture - Assembles large, complex data sets that meet functional / non-functional business requirements. - Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. - Works closely with IT departments to build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies - Combines raw information from different sources to create consistent and machine-readable formats - Develops and tests architectures that enable data extraction and transformation for predictive or prescriptive modeling - Supports the data mining, reporting and general analytics needs of the department - Identifies process gaps and recommend new opportunities for process improvement through the use of quantitative analytics - Applies statistical techniques to interpret risk and develop solutions for business consumption - Leverages understanding of multiple data structures and sources to perform complex data manipulation using advanced data extraction and analytical tools and techniques - Recognizes the connection between the business operations and analytics to influence business strategies through the interpretation and explanation of data to stakeholders - Supports development of innovative approaches and best practices - Performs any other assignments as directed by manager. - Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.). - Adheres to Bank policies and procedures and completes required training. - Identifies and reports suspicious activity. QUALIFICATIONS Education - Bachelor's Degree in Computer Science, Data Analytics, Data Science, Management Information Systems or a related field Experience At least 4 year