Design, build, and maintain data pipelines supporting enterprise data lake and analytics initiatives.
Support ingestion, transformation, and integration of large-volume data sets across multiple platforms and applications.
Collaborate with data engineering and analytics teams to optimize data processing, accessibility, and reporting capabilities.
Develop and support Snowflake-based solutions for data storage, transformation, and consumption.
Build API and data-validation test automation using RestAssured, Karate, and Postman/Newman.
Ensure high standards for coding, testing, debugging, performance, security, and application reliability.
Participate in code reviews to ensure adherence to coding standards, security requirements, and engineering best practices.
Support cloud-native applications deployed within AWS environments.
Monitor system and data platform performance and assist with troubleshooting production issues.
Partner with clients and internal teams during implementations, upgrades, migrations, and production support activities.
Experience you'll need to have
6+ years of experience in software development, software engineering, data engineering, or related technology disciplines.
3+ years of hands-on experience with Java, C#, C++, C, Python, or similar programming languages.
3+ years of experience working with SQL databases and data management solutions.
2+ years of experience developing or supporting applications within AWS, Azure, or Google Cloud Platform (GCP) environments.
Experience working with APIs, microservices, and distributed application architectures.
Experience working with Snowflake, Data Lake technologies, or modern cloud-based data platforms.
Bilingual proficiency in Spanish or Portuguese.
Bachelor’s degree in information technology, Computer Science, Engineering, Data Science, or a related field, or an equivalent combination of education, professional experience, and/or military experience.
Experience that would be great to have
Experience within financial services, payments, banking, or fintech environments.
Experience with cloud-native architectures, event-driven systems, APIs, and real-time transaction processing platforms.
Java/Spring Boot experience for building data integration services and APIs.
Experience with event-driven ingestion patterns (RabbitMQ, webhooks, retry/idempotency) feeding data pipelines.
API and data-validation test automation (RestAssured, Karate, Postman/Newman).
Ability to write technical specifications for data integrations and pipelines.
Experience applying promotion criteria that include data-quality gates beyond code quality.
Hands-on use of AI tools, including AI/ML-enabled data and analytics use cases, with real production examples.
Familiarity with running or deploying data workloads on Kubernetes or Red Hat OpenShift.
Experience with Snowflake features including data sharing, Snowpark, Streams, Tasks, and performance optimization.
Experience in designing and supporting enterprise data lakes within AWS environments.
Experience with AWS data services such as S3, Glue, Lambda, Athena, Redshift, EMR, or related technologies.
Familiarity with VisionPLUS, Vision NEXT, or large-scale card processing platforms.
Important information about this role
This is a fully onsite position, Monday through Friday. Fiserv believes in the value of in-person collaboration, which supports effective onboarding, drives innovation, strengthens teamwork, and enhances overall productivity.
Must possess U.S. Citizenship or U.S. Permanent Resident (Green Card) status.
Strong verbal and written communication skills are required.
How you'll work
This role requires regular use of a computer, phone, and audio/video collaboration equipment.
You will contribute technical expertise to deliver successful software and data solutions while collaborating across multiple technology disciplines.
#SoftwareEngineering #DataEngineering #CloudEngineering #AWS #Snowflake #Microservices #APIDevelopment #JavaDeveloper #PaymentsTechnology #LATAMCareers #LI-CD1 #CoralSpringsToLATAM #CoralSpringsRecruiting
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.
It is unlawful to discriminate against a prospective employee due to the individual's 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.
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.
Note to agencies
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
Warning about fake job posts
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.
