Staff Engineer - Data Engineering

Come build the next-gen fintech at Early Warning, network operator of Zelle®, where we're relentlessly focused on empowering prosperity in all its forms.

From fast money movement for over 100 million people who can access Zelle® directly through their banking app to new account opening and beyond - we make a difference in the lives of consumers and businesses every day and enable them to live their best financial lives. And we're only getting started.

With new state-of the-art offices in Scottsdale, AZ (Headquarters) and Chicago, IL - plus a growing presence in San Francisco - we're entering our next big chapter.

Join us and make your mark on what's next in fintech.

Overall Purpose

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

Essential Functions

• 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. Adapts to the situation and can draw from a range of strategies to influence people in a way that results in agreement or behavior change.
• 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.
• Supporting the company's commitment to risk management and protecting the integrity and confidentiality of systems and data.

Minimum Qualifications

• 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 (implementing feature engineering, data pipelines, model operationalization, model monitoring).
• 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, Big Data - HDFS, Elastic Search, ETL process development using IBM Infosphere or equivalent, Reusable Frameworks
• 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.
• Background and drug screen.

Preferred Qualifications

• Big Data Platforms (Cloudera, S3)
• Programming in Spark, Scala
• Database platforms (Oracle, SQL Server)
• Computer language experience (Python, PySpark, and R)
• Knowledge of Aerospike, Scality S3, Elastic Search
• Monitoring and Alerting systems experience (AppDynamics)
• Knowledge of ACH/EFT
• Knowledge of real time payment networks (RTP, FedNow)
• Experience in development / operationalization of Artificial Intelligence / Machine Learning Models / Model development life cycle activities (implementing feature engineering, data pipelines, model operationalization, model monitoring).
• 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 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 and physical requirements of position with or without reasonable accommodation.

The above job description is not intended to be an all-inclusive list of duties and standards of the position.

Some of the Ways We Prioritize Your Health and Happiness

• 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 5% deferral immediately upon eligibility.
• 12 weeks of Paid Parental Leave
• 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
• Maven Family Planning - provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.

And SO much more! We continue to enhance our program, so be sure to check our Benefits page here for the latest.

*Unlimited Time Off available to regular, full-time exempt roles only. Our team can share more during the interview process!

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Early Warning Services is an Equal Opportunity employer. All qualified applicants and employees will receive consideration for employment without regard to race, color, religion, religious creed, ethnicity, ancestry, national origin, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, citizenship, ancestry, disability, veteran status, genetic information or any other characteristic protected by law.