Sr. Data Engineer

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.
• Experience you’ll need to have: 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
• 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.
• How you’ll work: 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.
• Travel Approximately 10% travel off-site or to other office locations is expected.
• Sponsorship 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
• any candidate requiring sponsorship, now or in the future, will not be considered. #LI-RM1 Salary Range $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.
• Thank you for considering employment with Fiserv.
• Please: Apply using your legal name Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
• Our commitment to Equal Opportunity: Fiserv is proud to be an Equal Opportunity Employer.
• All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status
• any other category protected by law.
• If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact AskHR.US@fiserv.com .
• Please note our AskHR representatives do not have visibility to your application status.
• Current associates who require a workplace accommodation should refer to Fiserv’s Disability Accommodation Policy for additional information.
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