Staff Engineer - Data Engineering

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 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 support collaboration.

About the Role

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 and overall technology data strategy.
• Provide leadership and technical expertise in building a technical plan and backlog of stories, then follow through on execution of design and build process through to production delivery.
• Guide a broad functional area and lead efforts through functional team members along with the team’s overall planning.
• Represent engineering in cross-functional team sessions and present sound, thoughtful arguments to persuade others. Adapt to situations and draw from a range of strategies to influence behavior change.
• Collaborate with product managers, designers, and other engineering groups to conceptualize and build new features and create product descriptions.
• Actively own features or systems, define their long-term health, and improve 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 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

• Bachelor’s degree in computer science or a related technical field.
• Eight or more years of relevant experience.
• Seven or more years of experience in the development of complex data platforms, distributed systems, SaaS, cloud solutions, and microservices.
• Six or more years of experience in Data Warehouse, Big Data (structured & unstructured platforms), real-time & batch processing, and data standards.
• Four or more years of experience in developing Business Intelligence Solutions.
• Two or more years of experience in development/operationalization of Artificial Intelligence/Machine Learning Models, including feature engineering, data pipelines, model operationalization, and monitoring.
• Demonstrated experience delivering business-critical systems to market.
• Ability to influence and work in a collaborative team environment.
• Experience designing/developing scalable systems.
• Extensive experience implementing Data Warehouse (Star/Snowflake schemas) using SQL Server or equivalent, Big Data (HDFS, Elastic Search), ETL process development using IBM Infosphere or equivalent, and reusable frameworks.
• Experience with data science solutions using Python, Spark, PySpark, R, or 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.

Preferred Qualifications

• MS or PhD.
• Experience using AI/ML Model Frameworks like TensorFlow, SageMaker, Scikit, or PyCharm.
• Big Data Platforms (Cloudera, S3).
• Database platforms (Oracle, SQL Server) with experience in performance aspects and replication.
• Computer language experience (Python, PySpark, 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.

Physical Requirements

• Working conditions consist of a normal office environment.
• Work is primarily sedentary and requires extensive use of a computer, involving 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 a 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.
• Must be able to perform essential functions and physical requirements with or without reasonable accommodation.

Pay

The base pay scale for this position is:

• San Francisco, CA: $174,000 - $223,000 USD per year.
• Phoenix, AZ: $124,000 - $165,000 USD per year.

Additionally, candidates are eligible for a discretionary incentive plan and benefits. Pay is subject to change and depends on factors considered at the time of the job offer.

Benefits

• Competitive healthcare coverage (PPO/HDHP), dental, and vision plans, plus company contributions to Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health, and dependent care expenses.
• 401(k) Retirement Plan with a 100% company safe harbor match on the first 6% deferral immediately upon eligibility.
• Flexible Time Off for exempt (salaried) employees and 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 support, including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.