Senior Data & ML Engineer
On-siteAlpharetta, Georgia, United States
Job Summary
Lead the design and implementation of scalable data pipelines, ETL workflows, and MLOps practices supporting Merchant Opportunity Analysis and the Offer Engine within Digital Onboarding. Build production-ready feature pipelines, model integration patterns, and batch or near-real-time data movement using Python, SQL, AWS Glue, Snowflake, and related technologies. Partner with data scientists to productionize machine learning models, establish automated monitoring, and enforce data quality checks across enterprise-scale use cases. Provide technical leadership through design reviews, code reviews, and mentoring while collaborating with backend engineers and security teams to ensure reliable, observable, and secure data services.
Required Qualifications
- 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
- Bachelor's degree in Computer Science, Information Technology, Information Systems, or a related field (or equivalent industry experience)
- This role is on-site Monday through Friday
- Fiserv considers in-person collaboration to be an essential part of this role
- This is a full-time, direct-hire position
- All offers of employment are contingent on standard background checks
- 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 (if position supports Federal Government contract)
- Positions that support state and/or local contracts also may require additional background checks to determine eligibility and suitability
- This role is not eligible to be performed in Colorado, California, District of Columbia, Hawaii, Illinois, Massachusetts, Maryland, Minnesota, New Jersey, New York, Nevada, Rhode Island, Vermont, Virginia, Maine or Washington
Desired Qualifications
- 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
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