Senior Data Engineer

KURV • Cleveland, OH

5d • Onsite

About The Position

As a Senior Data Engineer, you will sit at the core of Kurv’s payments platform, designing and managing data systems that support high-volume transaction lifecycles, including authorization, clearing, settlement, pricing, and reporting. You will translate complex payment and financial logic into reliable, scalable data architectures that ensure accuracy and efficiency across our merchant services ecosystem. This role requires deep experience in financial technology and payment processing, strong advanced SQL expertise, and a solid understanding of payment platforms such as TSYS. While Kurv is continuing to modernize its data stack with AWS and Databricks, your ability to build dependable data solutions that power Modern Payments Made Simple is key.

Requirements

• Expert-Level SQL: 7+ years of experience with T-SQL (Stored Procs, Views, CTEs, Functions).
• SSIS & ETL: Proven track record of building and maintaining robust integration packages.
• XML Processing: Experience working with XML within SQL Server (OpenXML, XQuery) to handle transaction payloads.
• Relational Database Design: Deep understanding of indexing, normalization, and performance tuning for high-volume databases.

Nice To Haves

• TSYS Experience: Strong preference for candidates who have worked with TSYS platforms or similar core processors.
• Settlement & Clearing: A firm grasp of how money moves from a merchant's terminal to their bank account.
• Chargeback Management: Understanding of the lifecycle of a disputed transaction.
• Experience or interest in Databricks/Spark.
• Familiarity with AWS (S3, Lambda, RDS).
• Experience with Python or PySpark.
• Financial Technology or Card Payment Processing experience is a plus

Responsibilities

• Complex SQL Development: Design and maintain high-performance stored procedures, table-valued functions, and complex CTEs to handle large-scale financial transaction data.
• ETL & Integration: Manage and optimize existing SSIS packages and ETL workflows to ensure seamless data movement between legacy systems and our reporting environments.
• Domain Expertise: Apply deep knowledge of Clearing and Settlement logic, Merchant Pricing (Interchange, Tiered, etc.), and exposure to Chargeback processing workflows.
• Data Modeling: Maintain and optimize relational databases, utilizing temp tables, table variables, and XML parsing where necessary to handle complex message formats.
• Modernization: Assist in the transition of legacy data processes into AWS Cloud and Databricks. You will be mentored and trained on these modern tools as we evolve our infrastructure.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed