Sr. Software Engineer - Data Analytics Platform

At Early Warning, we’ve powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle, Paze℠, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses. Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment. Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship. Overall Purpose

Develops, documents, tests, debugs, and maintains data and analytics engineering solutions for the Analytics Data Platform. Provides expertise and familiarity in software tools, frameworks, and best practices in secure software engineering. Essential Functions

Builds and maintains data engineering solutions for batch and stream processing. Develops advanced analytic solutions using BI and ML tools. Builds infrastructure components required for Data and Analytics. Provides continuous integration and deployment of data solutions. Develops and implements tests for ensuring the quality, performance, and scalability of our application. Able to identify and troubleshoot complex production issues for Support and Operations teams. Collaborates and partners with product managers, designers, and other engineering groups to conceptualize and build new features and create product descriptions. Support the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data. The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow instructions and perform other related duties as assigned by their supervisor. Minimum Qualifications

Education and/or experience typically obtained through completion of a bachelor’s degree in computer science, Computer Science Engineering, Computer Information Systems, Electrical Engineering, or related field. Minimum 5 years direct experience in Software Engineering or related experience. Two (2) or more years’ experience in the development of Data Warehouse, Big Data – structured and unstructured platforms, real-time & batch processing, and data standards. Ability to influence and work in a collaborative team environment. Working experience with cloud infrastructure (Google Cloud Platform, AWS, Azure, etc.). Knowledge of mature engineering practices (CI/CD, testing, secure coding, etc.). Knowledge of Software Development Lifecycle (SDLC) best practices, software development methodologies (Agile, Scrum, Lean, etc.) and DevOps practices. Excellent written and spoken communication. Must be a US Citizen or US National. Background and drug screen. Preferred Qualifications

Additional related education and/or work experience preferred. Large Scale Cloud Data Lake/Warehouse transformation. AWS Cloud experience in Streaming, Batch Data Management. Redshift or other large warehouse Management experience. Advanced SQL and Analytics. BI tools like Tableau, Quicksight. Data Governance and Quality Controls. Computer language experience (Python, PySpark, and R). Monitoring and Alerting systems experience (AppDynamics, Splunk etc.). AWS certification in Solution Architecture/Analytics. FinTech experience is highly beneficial. Physical Requirements

Working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling, and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers. Employee must be able to perform essential functions

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