Sr. Data Engineer

You will play a key role in designing and building scalable data solutions that support fraud detection and risk management. You will architect high-performance data platforms, develop reliable pipelines, and partner closely with data science and cross-functional teams to enable advanced analytics and machine learning solutions.

What you'll do:

• Build, maintain, and optimize high-volume data pipelines with high performance, reliability, and cost efficiency.
• Design and implement scalable, secure data architectures for analytics and operational fraud and risk use cases.
• Manage large-scale datasets while ensuring strong data quality, integrity, lineage, and governance controls.
• Partner with data scientists to prepare training data and operationalize machine learning models for fraud detection.
• Develop robust solutions using technologies such as Cassandra, PostgreSQL, Python, PySpark, and Databricks, REST API, Java, Spring.
• Implement cloud-based data solutions in Microsoft Azure to support scalability, resiliency, and security and define and uphold data governance standards, best practices, and policies across the data lifecycle.
• Coordinate releases, deployments, and updates across complex environments and cross-functional teams to ensure smooth implementation with minimal disruption.
• Take ownership of environments and deployments, manage priorities effectively, and deliver with accountability., * This role is on-site Monday through Friday. Fiserv considers in-person collaboration to be an essential part of this role as in-person office experiences help you with your overall onboarding experience and leads to stronger productivity.

• 7+ years of hands-on programming experience in Python and Java.
• 3+ years of technical lead experience designing and delivering data solutions at scale and in data engineering, data architecture, or analytics, including direct experience supporting fraud detection and risk management.
• 2+ years of experience preparing data for and supporting machine learning models using fraud data, including feature engineering and model operationalization.
• Experience with NoSQL databases such as Cassandra, PostgreSQL, or DynamoDB, Spark/PySpark, Databricks, and Azure data services.
• Strong SQL skills and proven experience managing large data volumes and applying best practices in partitioning, indexing, caching, and performance tuning.
• Experience with pipeline automation, orchestration, and incremental data loading processes and knowledge of supervised and unsupervised learning techniques.
• Experience in data mapping, standardization, data quality rule development, and creation of derived attributes for analytics.
• Bachelor's degree in computer science, Engineering, Mathematics, Data Science, or a related field, or equivalent practical experience., * You must currently possess valid and unrestricted U.S. work authorization to be considered for this role. Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or TN, or any candidate requiring sponsorship, now or in the future, will not be considered.

$128,000.00 - $216,000.00

These pay ranges apply to employees in New Jersey and New York. Pay ranges for employees in other states may differ.

It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.

For incentive eligible associates, the successful candidate is eligible for an annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards in the Company's sole discretion.

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.