Sr. Software Engineer - Data & Analytics - Paze

Early Warning

Scottsdale, AZ

Full Time

Senior

120k-160k

about 1 month ago

Job Description

About the Role

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 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 are located in Scottsdale, San Francisco, Chicago, or New York with a hybrid work model to promote collaboration. Candidates must be eligible to work in the U.S. without Visa sponsorship. The role involves developing, testing, and maintaining data and analytics engineering solutions for Paze, utilizing software tools, frameworks, and best practices in secure software engineering.

Key Responsibilities

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 to ensure the quality, performance, and scalability of applications.
Identifies and troubleshoots complex production issues for Support and Operations teams.
Collaborates with product managers, designers, and engineering groups to conceptualize and build new features.
Supports the company's risk management and data security initiatives.

Requirements

Bachelor's degree in computer science, Computer Science Engineering, Computer Information Systems, Electrical Engineering, or related field.
Minimum 5 years of experience in Software Engineering or related roles.
At least 2 years' experience developing Data Warehouse, Big Data platforms, real-time and batch processing, and data standards.
Experience working with cloud infrastructure such as Google Cloud Platform, AWS, or Azure.
Knowledge of engineering practices including CI/CD, testing, and secure coding.
Familiarity with SDLC, Agile, Scrum, Lean, and DevOps methodologies.
Excellent written and spoken communication skills.
Must be a US Citizen or US National.

Nice to Have

Experience with large-scale Cloud Data Lake/Warehouse transformation.
AWS Cloud experience in Streaming and Batch Data Management.
Experience with Redshift or other large warehouse management systems.
Advanced SQL and analytics skills.
Proficiency with BI tools like Tableau or Quicksight.
Knowledge of Data Governance and Quality Controls.
Experience with programming languages such as Python, PySpark, and R.
Experience with monitoring and alerting systems like AppDynamics or Splunk.
AWS certification in Solution Architecture or Analytics.
FinTech industry experience.

Qualifications

Educational background or experience equivalent to a bachelor's degree in a relevant field.
Proven experience in software engineering and data solutions development.

Benefits & Perks

Competitive medical, dental, and vision plans with company contributions to HSA or FSA.
401(k) Retirement Plan with 100% Company Safe Harbor Match on the first 6% deferral.
Unlimited Paid Time Off for exempt employees, plus 11 paid holidays and a volunteer day.
12 weeks of Paid Parental Leave.
Support through Maven Family Planning for parenting needs.
Additional benefits and programs that support health, happiness, and work-life balance.

Working at Early Warning

Early Warning values ability, potential, and valid qualifications, promoting equal employment opportunity regardless of race, gender, or other protected classes. The company supports a collaborative, inclusive environment and actively reviews wage equity. They participate in E-Verify to ensure a legal and authorized workforce and emphasize continuous improvement in employee well-being and diversity.

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