Data Engineer II

Early Warning Services • Scottsdale, AZ

4d • $97,000 - $149,000 • Hybrid

About The Position

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 Technical expert responsible for building data science tools/infrastructure. Essential Functions 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

Requirements

• 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

Nice To Haves

• Prior demonstrated experience 2-4 years
• Pyspark and Scala experience
• Fin-tech experience

Responsibilities

• 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

Benefits

• 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 – Flexible 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees