Job Description FIS Management Services, LLC seeks Data Engineers III (AAI Data Engineer- Enterprise Platform) in Jacksonville, FL to develop a next-generation financial technology platform to support data-driven decisions in finance and operations. Build and manage scalable data pipelines and enterprise data warehousing for cross-service analysis and automation. Collaborate with internal teams and external partners to migrate legacy systems to a secure, resilient FIS cloud data platform. Architect and deploy full-scale data applications across the stack—from ingestion to analytics and customer-facing products. Optimize OLAP/BI platforms and data workflows for performance, reliability, and cost-efficiency, ensuring data integrity. Maintain thorough documentation and implement quality checks to support strategic data initiatives and continuous improvement. REQUIREMENTS: Bachelor’s degree or foreign equivalent in Information Systems Technology, Information Technology, Computer Science, Computer Engineering, or related field and five (5) years of progressively responsible experience in the job offered or a related occupation: designing and optimizing data pipelines using ETL/ELT technologies; writing SQL queries; managing data warehousing solutions; implementing performance tuning strategies; implementing programming skills in Python for data manipulation, ETL development, and scripting automation tasks, and built reusable and scalable products for common use across Lines of Business within cloud data platform; identifying short- term and long term solutions for data ingestion and consumption patterns. In the alternative, the employer will accept a master’s degree in the above listed fields and three (3) years of experience in the above listed skills. Telecommuting and/or working from home may be permissible pursuant to company policies. QUALIFIED APPLICANTS: Please apply directly through our website by clicking on “Apply Now.” Privacy Statement FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice. EEOC Statement FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. Sourcing Model Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. #pridepass

Data Entry and Validation Specialist Position Summary The Data Entry and ValidaƟon (DE&V) Specialist reports to the HPR DE&V Team Manager and supports project intake and uploads into VRM. This role serves as a key liaison between operations staff and the HPR Account Specialists, working with both internal and external clients to facilitate health plan requests. Duties & Responsibilities: - Triages inventory received by the Health Plan Request Team against Verisma’s facility site list by determining the appropriate Verisma client or identifying if it is not associated with Verisma - Communicates regularly with the HPR Account Specialists regarding the files they are handling - Adhere to established guidelines from facilities and requestors concerning fees, exceptions, and standard intake procedures - Remains current on facility and requestor requirements, including specialized instruction, rates, and approval protocols - Data enter faxed requests from facilities - Upload high-volume health plan requests into VRM batches efficiently - Processes single patient health plan requests using the ROIS App - Produce clear, professional patient lists from Excel inventory files - Update inventory files and team trackers consistently - Responds promptly to emails to prevent any delays in processing - Conduct daily reviews of uploaded batches to confirm successful completion - Addresses errors or omissions immediately upon identification or notification - Develop expertise in navigating both the VRM and ROIS App platforms - Adapt quickly to last-minute changes in work assignments directed by the DE&V Team Manager, particularly for escalating inventory - Manage communications with professionalism in alignment with established standards and metrics - Maintains positive and effective relationships with clients and requestors - Perform other appropriate duties, as assigned, to meet the needs of the department and the company - Live by and promote Verisma core values Minimum Qualifications - High school diploma or GED equivalent required - Able to multi-task and use numerous resources to ensure facility protocols are followed - Strong project management skills - Ability to work effectively and independently in high volume and fast paced environments - Desire to improve processes to create sustainable robust systems - Microsoft Excel proficient - Exceptional interpersonal skills and capacity to build effective relationships with co-workers and clients - Strong level of patience to resolve issues

• Embed Data Strategy: Partner with vertical Product Managers and Engineering leads during the design phase of new features. • Design Review: Act as a technical reviewer for major product initiatives. • Standardization: Establish the standards for how our Product team defines data requirements. • Data Modeling: Oversee the logical data model within our Core Applications and Salesforce. • Lineage & Overrides: Own the logic for Data Lineage and Data Overrides. • Governance at the Source: Implement "Governance by Design" by working with Engineering. • The Analytics Bridge: Serve as the primary liaison between the Product/Engineering organization and the Analytics/Data Science teams. • Translation: Translate complex analytical requirements into actionable engineering tickets. • Data Availability: Ensure that the data generated by our products is accessible, documented, and structured for the Analytics team.

About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero-to-one ideas into real products, and you "get stuff done" end-to-end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. Senior Data Engineer Hiring Location: Singapore What you'll do Part 1. Data Modeling - Design and implement robust and scalable data models that support business intelligence, machine learning, and operational needs. - Possess a deep understanding of data schemas and be able to select appropriate schema designs (e.g., star schema, snowflake, normalized vs denormalized) based on use cases. - Collaborate closely with business teams to translate their data needs into clean, structured, and well-documented models. - Understand and promote the concept of SSOT (Single Source of Truth) throughout the data layers and pipelines. - Maintain data consistency, traceability, and quality across multiple data sources and domains. Part 2. ETL and Data Pipeline Management - Experience building and maintaining both batch and streaming ETL pipelines, with a strong understanding of end-to-end data workflow - from data ingestion to transformation and delivery. - Able to work closely with Data Platform Engineers (DPEs) and Product Managers (PMs) to quickly identify root causes of data issues and provide efficient, scalable solutions. - Bonus if you've worked with data across distributed or multi-datacenter systems, including solving challenges related to data migration, duplication, and consistency. Part 3. Data Governance - Participate in and contribute to data governance strategies, policies, and standards. - Be familiar with any of the six key pillars of traditional data governance (e.g., data quality, data stewardship, metadata management, master data management, data privacy/security, data lifecycle). Part 4. Data + AI - We hope you have a basic understanding of AI and enjoy thinking about how data engineering and AI can work together in practical and creative ways. These four areas are the main focuses of the DE team. Ideally, you should be strong in at least one of them - especially data modeling or data ETL. If you also have experience or skills in the other areas, that would be a big plus. Who you are We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory. Minimum qualifications: - Bachelor's degree or higher in Computer Science, Information Systems, Finance, Mathematics, or a related field. - Minimum 7 years of proven experience designing and implementing ETL pipelines, with a strong understanding of the strategies, rules, and processes involved in building scalable and reliable data pipelines. - Experience with streaming data pipelines or real-time data processing technologies, such as Apache Kafka or Apache Flink. - Proficiency in SQL, database management systems (e.g., MySQL, PostgreSQL, Oracle), and data warehousing solutions. - Familiarity with Google Cloud Platform (GCP) and modern data infrastructure tools, including Databricks and Airflow. - Knowledge of data governance practices and regulatory requirements within the financial industry. - Excellent problem-solving skills with strong attention to detail and a commitment to producing high-quality work. - Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment. - Outstanding verbal communication skills, with the ability to collaborate effectively with globally distributed teams. Preferred qualifications: - Experience with financial industries, payment systems, or fintech platforms. - Knowledge of data governance practices and regulatory requirements in the financial industry. - Experience with scripting languages (e.g., Python, R) for data analysis and automation. - Certification in data management or related technologies At Airwallex, you can make an impact in a rapidly growing, global fintech. We want you to share in our success, which is why you'll be offered a competitive salary plus valuable equity within Airwallex. We also like to ensure we create the best environment for our people by providing collaborative open office space with a fully stocked kitchen. We organise regular team-building events and we give our people the freedom to be creative. Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.