Big Data Engineer, Senior

Fiserv • Milwaukee, WI

1d • Onsite

About The Position

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, Electronic Engineering or a related field
• 4 years in any job title involving data analytics and data engineering experience.
• 4 years managing end-to-end data delivery pipelines and production support
• 4 years working in SQL and with relational and columnar databases
• 4 years programming in Python, Scala or Java
• 4 years working with data validation and quality assurance practices
• 3 years building repeatable data pipelines using ETL frameworks
• 3 years working with orchestration and scheduling tools for job workflows
• 3 years working with cloud data platforms and storage including Azure, AWS or GCP
• 3 years working with data delivery mechanisms and secure file transfer patterns
• 2 years working with version control (GIT) and CI/CD pipelines for deployment and change management
• 2 years of data analysis identifying patterns and trends in large data sets.

Responsibilities

• Design, develop, and implement data products to meet specific client requirements and business objectives.
• Manage the end-to-end process of data deliveries to ensure timely, accurate, and secure data transfers to clients.
• Provide support and maintenance for data jobs to ensure their continuous and reliable operations.
• Conduct rigorous product validation against functional specifications and client expectations to confirm the data product’s readiness and suitability for deployment.
• Perform in-depth data quality analysis, identifying and resolving anomalies, inconsistencies, and errors to maintain data integrity.
• Work closely with developers, analysts, and client-facing teams to gather requirements, troubleshoot issues, and communicate progress on product development and data delivery status.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior