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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer, Finance - **Company:** Genesys Telecommunications Laboratories, Inc. - **Location:** Virginia Beach, VA, United States (Remote available) - **Experience:** Expert - **Salary:** $161,500.0 - $283,900.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Big Data, Continuous Integration, Data Governance, Data Integrity, Data Systems, Data Warehousing, Monitoring of Systems, Python (Programming Language), Performance Tuning, Standard Sql, SQL Databases, Cloud Platform System, Genesys, Snowflake, Data Strategy, Data Layers, Git Flow, Kubernetes, Information Technology, Data Lineage, Data Management, Cloudwatch, Data Pipelines - **Published:** September 2, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18161755?backUrl=%2Fcareer%2F18161755%2FSenior-Data-Engineer-Finance-Virginia-Virginia-Beach ## About the Role * Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience * 6+ years of experience building production-grade data platforms or modern data warehouse solutions * Expert-level SQL skills, including complex query design, performance tuning, and large-scale data modeling * Strong Python development experience for building robust data pipelines and automation * Proven experience working with cloud-based data platforms, including Snowflake and AWS services * Demonstrated expertise in CI/CD pipelines, Git-based workflows, and automated testing frameworks * Strong understanding of data governance, observability, and monitoring best practices * Ability to communicate complex technical concepts effectively to both technical and business stakeholders * Familiarity with AWS services such as Glue, S3, and CloudWatch for data pipeline orchestration Preferred Qualifications: * Experience designing and implementing financial data models in regulated environments * Experience with data lineage, cataloging tools, and enterprise data governance frameworks * Track record of leading cross-functional data initiatives with measurable business impact ## Description This role shapes the future of financial data at scale by transforming how critical business data is modeled, governed, and delivered across the organization. You will lead the evolution of a modern data platform, migrating complex pipelines into AWS while ensuring auditability, performance, and trust for financial reporting. At Genesys, we are redefining how organizations engage with customers through AI-driven experiences, and this role directly supports that mission by enabling accurate, timely, and reliable data for strategic decision-making. You will operate with high autonomy, influencing architecture, engineering standards, and cross-functional data strategy across Finance and Customer Success. This position offers visibility into enterprise initiatives and the opportunity to drive platform-level impact while expanding technical and leadership capabilities., * Own the end-to-end migration of data pipelines from Snowflake to AWS, improving scalability, cost efficiency, and system observability * Design and implement dimensional data models that enable accurate, SOX-compliant financial reporting and analytics * Build and evolve Medallion Architecture data layers, ensuring high-quality, testable Silver and Gold datasets * Drive performance optimization across SQL transformations and data processing workflows to reduce cost and improve execution efficiency * Establish and enforce engineering standards for testing, deployment, and documentation across data platforms * Implement data quality frameworks that improve data reliability through validation, anomaly detection, and monitoring * Lead architecture decisions and influence technical direction across Strategic Finance and Customer Success data ecosystems * Partner with business stakeholders to translate complex requirements into scalable, production-ready data solutions, * A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview. * Next, you'll meet the hiring manager and other members of the interview team. * We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases. * After interviews are complete, our team will follow up with the final steps. Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process. Stay Connected Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available. Get notified about relevant opportunities. Be the one building what's next - where AI, experience and impact come together. Employee Referral If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral. About Genesys: Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visitwww.genesys.com. Reasonable Accommodations: If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com. You can expect a response within 24-48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email. This email is intended to support job seekers requesting accommodations. 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