Job Posting Title Sr. Software Engineer - Data & Analytics - Paze

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 Paze. 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 and physical requirements of position with or without reasonable accommodation.

Candidates responding to this posting must independently possess the eligibility to work in the United States at the date of hire.

The base pay scale for this position in:

Phoenix, AZ/ Chicago, IL in USD per year is: $120,000 - $140,000.
New York, NY/ San Francisco, CA in USD per year is: $120,000 - $160,000.

Additionally, candidates are eligible for a discretionary incentive plan and benefits.

This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope, market rates and geographic location of a position, candidate’s education, experience, training, and specialized skills or certification(s) in relation to the job requirements and compared with internal equity (peers). The business actively supports and reviews wage equity to ensure that pay decisions are not based on gender, race, national origin, or any other protected classes.

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 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.

And SO much more! We continue to enhance our program, so be sure to check our Benefits page here for the latest. 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, LLC (“Early Warning”) considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees.