Sr. Software 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 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.

Engineering at Early Warning (EWS) is a blend of teams organized around many different platforms, capabilities and products that are brought together to power core capabilities at the biggest banks in America – this includes ubiquitous products like Zelle and Paze.

These capabilities are typically provided behind a customer-facing API or integration point which enables the EWS teams to innovate aggressively where big wins can be found. The teams aligned behind these efforts drive their own innovation in partnership with stakeholders.

If you are hungry for large scale challenges and crave opportunities to learn and contribute in a big way in preparing and delivering data to the services – we’d love to talk to you!

Overall Purpose

Develops, documents, tests, debugs, and maintains data; provides expertise and familiarity in software tools, frameworks and best practices in secure software engineering. Collaborates effectively with other members of the team to deliver on the team’s backlog.

Essential Functions

• Participates in the discussion and implementation around complex capabilities.
• Develops complex features and capabilities to enhance the Early Warning core product offerings.
• Manages source code using Git.
• Receives, reviews and approves pull requests ensuring that code quality remains high.
• Processes both real time stream data and file based data through ETL frameworks and persist the data into the data store.
• Builds aggregations on the data to enable provisioning of data to the AI/ML models as input and also deliver them to the customers.
• Document complex details and decisions in Confluence.
• Builds automated tests alongside sprint work that is integrated into the CI/CD pipeline, considering environment variables, and provides recommendations.
• Able to troubleshoot complex bugs that may arise during development.
• 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 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
• Proficient with Git source control and Git flow branching model
• Big data framework experience is required
• Proficient in ETL/ELT
• Experience with Spark/Scala
• Experience with Kafka
• Proficient with SQL
• Familiarity with modern DevOps practices
• Familiarity writing automated tests
• Excellent written and spoken communication
• Background and drug screen

Preferred Qualifications

• Additional related education and/or related work experience preferred.
• Experience with Python.
• Familiar working with common data format standards like XML, JSON, YAML, etc.
• NoSQL experience (Redis, HBASE, AeroSpike, etc.)
• 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 perfor