Staff Engineer - Python Data Engineering

$145,000 - $180,000/Yr

Early Warning Services - Scottsdale, AZ

Full-time - Senior

Hybrid - Scottsdale, AZ

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 a key role in the development, test, and deployment of complex solutions.

Responsibilities

• Build data strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems.
• Participate in the strategic development of methods, techniques, and evaluation criteria for projects and programs.
• Drive all aspects of technical and data architecture, design, prototyping and implementation in support of both product needs as well as overall technology data strategy.
• Provide leadership and technical expertise in support of building a technical plan and backlog of stories, and then follow through on execution of design and build process through to production delivery.
• Guide a broad functional area and lead efforts through the functional team members along with the team's overall planning.
• Represent engineering in cross-functional team sessions and able to present sound and thoughtful arguments to persuade others.
• Collaborate and partner with product managers, designers, and other engineering groups to conceptualize and build new features and create product descriptions.
• Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.
• Assist Support and Operations teams in identifying and quickly resolving production issues.
• Develop and implement tests for ensuring the quality, performance, and scalability of our application.
• Actively seek out ways to improve engineering and data standards, tooling, and processes.
• Support 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 a Bachelor's degree in computer science or related technical field.
• Ten or more years of relevant related experience.
• Seven or more years of experience in the development of complex data platform, distributed systems, SaaS, cloud solutions, micro services.
• Six or more years of experience in the development of Data Warehouse, Big Data - structured & unstructured platforms, real-time & batch processing, data standards.
• Four or more years of experience in development of Business Intelligent Solutions.
• Two or more years of experience in development / operationalization of Artificial Intelligence / Machine Learning Models / Model development life cycle activities.
• Demonstrated experience in delivering business-critical systems to the market.
• Ability to influence and work in a collaborative team environment.
• Experience designing/developing scalable systems.
• Extensive experience implementing Data Warehouse (Star / Snow flake schemas) using SQL Server or equivalent.
• Experience with implementing data science solutions using Python, Spark, PySpark, R, Data Robot.
• Experience with event-driven architecture and messaging frameworks (Pub/Sub, Kafka, RabbitMQ, etc).
• 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.
• Attention to detail.
• Background and drug screen.

Nice-to-haves

• MS or PHD.
• Experience using AI/ML Model Frameworks like Tensorflow, Sage Maker, Scikit, PyCharm.
• Big Data Platforms (Cloudera, S3).
• Database platforms (Oracle, SQL Server) with experience around performance aspects and replication.
• Computer language experience (Python, PySpark, and R).
• Knowledge of Aerospike, Scality S3, Elastic Search.
• Monitoring and Alerting systems experience (AppDynamics) or other observability measures.
• Knowledge of ACH/EFT.
• Knowledge of real time payment networks (RTP, FedNow).
• FinTech experience.
• Kubernetes experience.

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.