Data Engineer II - Zelle

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.

Technical expert responsible for building data science tools/infrastructure.

• Write data infrastructure & analytics software tools for Data Science.
• Mentor and train interns.
• Guide Data Scientists on best practices in software engineering.
• Collaborate with analytics leadership and engineers from other parts of EW on architectural and software enhancements to the Data Science platform.
• Collaborate with Data Science leadership on improving ETL and cluster computing.
• Supporting the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data

• Education and experience typically obtain through a Bachelor’s degree
• Typically has 2-4 years of demonstrated progressive work experience in the following areas
  • Spark
  • Software/data engineering in Python
  • Machine Learning toolkits in Python/R
  • Building reusable frameworks for data ingestion and storage in Hadoop or AWS/S3
  • Relational databases, optimizing/tuning queries, indexing, partitioning, etc.
• Experience collaborating with internal engineering & technology teams within a company on building data infrastructure in a regulated, enterprise environment;
• Strong communication skills
• Background and drug screen

• Prior demonstrated experience 2-4 years
• Scala/Java experience
• Fin-tech experience

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

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.

Phoenix, AZ/ Chicago, IL in USD per year is: $97,000 - $124,000.

New York, NY/ San Francisco, CA in USD per year is: $116,000 - $149,000.

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.

• Healthcare Coverage –Competitive medical (PPO/HDHP), dental, and vision plans…