Sr. Software Engineer - Data & Analytics - Paze

- Mid Level

Hybrid - New York City, NY

Credit Intermediation and Related Activities

About the position

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. This position is focused on developing, documenting, testing, debugging, and maintaining data and analytics engineering solutions for Paze, providing expertise in software tools, frameworks, and best practices in secure software engineering.

Responsibilities

• 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.
• Identifies and troubleshoots 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.
• Supports the company's commitment to risk management and protecting the integrity and confidentiality of systems and data.

Requirements

• 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.

Nice-to-haves

• 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.

Benefits

• Healthcare Coverage - Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.
• 401(k) Retirement Plan - Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.
• Paid Time Off - Unlimited Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.
• 12 weeks of Paid Parental Leave.
• Maven Family Planning - provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.