Senior Data & ML Engineer

Calling all innovators find your future at Fiserv.

Were 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 were involved. If you want to make an impact on a global scale come make a difference at Fiserv.

Job Title

As a Senior Data & ML Engineer you will play a lead technical role in building and operationalizing the data engineering ETL and MLOps capabilities that support Merchant Opportunity Analysis (MOA) and Offer Engine within the Digital Onboarding team. Merchant Opportunity Analysis (MOA) refers to the analytical capability used to identify merchant needs growth opportunities product fit and offer recommendations that can improve onboarding personalization and customer acquisition outcomes within Digital Onboarding.

This role will focus on designing scalable data pipelines production-ready feature workflows model integration patterns and reliable data services that enable customer insights personalization and offer optimization. You will work closely with data scientists backend engineers product teams and platform partners to ensure data and machine learning capabilities are reliable observable secure and ready for enterprise-scale use.

• Lead the design and implementation of data pipelines supporting MOA Offer Engine customer insights personalization and Digital Onboarding use cases.
• Build scalable ETL and data integration workflows using Python SQL AWS Glue Qlik Data Integration Snowflake and related technologies.
• Design and support feature pipelines scoring workflows model output processing and ML integration patterns for production use cases.
• Partner with data scientists to productionize machine learning models analytical features segmentation outputs and recommendation logic.
• Establish and mature MLOps practices including model packaging deployment automation monitoring lineage governance and retraining support.
• Implement data quality checks reconciliation processes observability exception handling and operational controls across data pipelines.
• Build batch and near-real-time data movement patterns to support onboarding journeys merchant matching and offer recommendation workflows.
• Collaborate with backend engineers to integrate customer insights recommendation outputs and offer data into Digital Onboarding APIs and workflows.
• Provide technical leadership through design reviews code reviews solution documentation and mentoring of other engineers.
• Partner with architecture security infrastructure and governance teams to ensure solutions meet enterprise standards.

• 8 years of experience in data engineering ML engineering ETL development analytics engineering or platform engineering.
• Strong hands-on experience with Python SQL data pipeline development and production-grade data engineering patterns.
• Experience designing and building ETL pipelines using AWS Glue Qlik Data Integration Snowflake or comparable technologies.
• Experience with AWS services such as S3 Glue Lambda SageMaker CloudWatch Step Functions ECS/EKS or similar cloud-native services.
• Experience supporting production ML workflows including feature engineering batch scoring model deployment and model monitoring.
• Strong understanding of data modeling data quality partitioning orchestration metadata observability and lineage.
• Experience building reliable secure and scalable data services for customer-facing or business-critical platforms.
• Experience with CI/CD DevSecOps version control automated testing and release management practices.
• Strong troubleshooting skills across data pipelines ML workflows application integrations and production issues.
• Ability to influence technical direction and collaborate across engineering data science product and business teams.
• Bachelors degree in Computer Science Information Technology Information Systems or a related field (or equivalent industry experience).

• Experience supporting offer engines recommendation systems personalization customer insights Digital Onboarding or customer acquisition platforms.
• Experience with MLOps platforms model registries feature stores automated retraining and ML monitoring frameworks.
• Experience with CDC streaming event-driven integration or near-real-time data pipelines.
• Experience working with merchant product application transaction or behavioral datasets.
• Experience within financial services fintech payments merchant onboarding or digital acquisition platforms.
• Experience with Agentic SDLC AI-assisted development automated testing and developer productivity tooling.
• AWS Data Analytics Machine Learning or Solution Architecture certifications.

Important information about this role:

• 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
• This is a full-time direct-hire position and no contract options for unsolicited agency submissions will be considered.
• All offers of employment are contingent on standard background checks. Fiserv and certain of its affiliated companies are federal state and/or local government contractors. Should this position support a Federal Government contract now or in the future the successful candidate will be subject to a background check conducted by the U.S. Government to determine eligibility and suitability for federal contract employment for public trust or sensitive positions. Positions that support state and/or local contracts also may require additional background checks to determine eligibility and suitability.

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It is unlawful to discriminate against a prospective employee due to the individuals status as a veteran.

Please note that salary ranges provided for this role on external job boards are salary estimates made by outside parties and may not be accurate.

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 or any other category protected by law.

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