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Zelis Healthcare, LLC
Sr. Data Engineer, Payment Operations
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Based on Missouri data
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What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$109,835 / year median in Missouri
+10% projected growth
Job Description
Sr. Data Engineer, Payment Operations Zelis Healthcare, LLC paid time off, 401(k) 744 Office Parkway (Show on map) Aug 20, 2026 At Zelis, we Get Stuff Done. So, let's get to it! A Little About Us Zelis is modernizing the healthcare financial experience across payers, providers, and healthcare consumers. We serve more than 750 payers, including the top five national health plans, regional health plans, TPAs and millions of healthcare providers and consumers across our platform of solutions. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts
- driving real, measurable results for clients. At Zelis, AI is woven into the fabric of how we work. Every associate is expected
- and empowered
- to partner with AI to challenge the status quo, accelerate innovation, and amplify their impact.
Key Responsibilities Payment Monitoring Engineering:
Design, build, deploy, and maintain Snowflake tables and pipelines that support payment monitoring. Develop stored procedures, status-specific delay thresholds, business-day-aware timing windows, and root cause diagnostic tagging. Maintain the combined platform monitoring table that supports top-down alerting across the full payment lifecycle.Monitoring Scenario Activation:
Execute activation of inactive monitoring scenarios in sequenced sprints with prioritization based on cost, risk, and revenue exposure.KPI Infrastructure:
Design and maintain the Payment Lifecycle KPI calculation pipeline, including query logic, data joins across tables and source payment records, and automated refresh cadence- with slicing by any required dimension such as platform, payer, and payment modality.
Data Quality Management:
Establish and maintain data quality controls within payment pipelines, including forward-fill logic, export grouping, source system column validation, and definitional consistency checks between payment-related data sources.Technical Leadership and Enablement:
Serve as the primary Snowflake subject matter expert for Payment Operations. Lead working sessions with onshore and offshore partners to build practical SQL and Snowflake proficiency, review technical approaches, and promote maintainable engineering practices.Architecture and Documentation:
Document the Payment Operations data architecture, including platform schemas, table structures, data flows, dependencies, stored procedures, operational runbooks, and monitoring logic to ensure knowledge is accurate, transferable, and sustainable.Cross-Functional Partnership:
Translate business monitoring needs into scalable technical solutions and communicate technical findings, risks, tradeoffs, and recommendations in clear language to operations leaders and non-technical stakeholders. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field; or equivalent professional experience in lieu of degree. 7 years of experience in data engineering, with at least 3 years in production Snowflake environments. Expert SQL proficiency, including recursive common table expressions, stored procedures, and performance tuning on large-scale datasets. Hands-on experience with Snowflake-native patterns, including Snowpipe, streams and tasks, clustering, and virtual warehouse configuration. Demonstrated ability to absorb an unfamiliar data architecture quickly- reading existing schemas, reverse-engineering legacy stored procedures, and mapping undocumented data flows.
ACH, EDI 835
delivery, virtual card (VCC or VRA), or provider payment disbursement workflows. Familiarity with SIGMA or equivalent cloud-native BI platforms (Looker, Hex, or similar) connected to a Snowflake backend. Exposure to HIPAA-compliant data handling practices and healthcare data governance frameworks. Experience conducting peer reviews of SQL or pipeline code in a cross-functional setting. Snowflake SnowPro Core or Advanced certification. Please note at this time we are unable to proceed with candidates who require visa sponsorship now or in the future. Location and Workplace Flexibility Zelis is headquartered in the U.S., with multiple locations across the country and in Hyderabad, India. Check out our locations to learn more about our offices. All employee work locations are based on the needs of the position and are determined by the Leadership team. In-office work and activities vary based on work and team objectives in accordance with Company policies. While location expectations vary by role, candidates within approximately 50 miles of a U.S. office are generally preferred to support collaboration when needed. Our hybrid approach is flexible, and in-office presence is guided by team and business needs rather than a fixed weekly schedule. Base Salary Range $127,000.00- $160,550.