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.

This is a place for builders with a growth mindset who act with agility, embrace change, and use modern technology to shape smarter solutions, exceptional experiences, and the future of our industry for our clients, customers, and our culture. A Little About You You bring a unique blend of personality and professional expertise to your work, inspiring others with your passion and dedication. Your career is a testament to your diverse experiences, community involvement, and the valuable lessons you've learned along the way. You are more than just your resume; you are a reflection of your achievements, the knowledge you've gained, and the personal interests that shape who you are. Position Overview The Senior Data Engineer leads the engineering workstreams that underpin the Payment Operations monitoring transformation program at Zelis. This role designs, builds, and maintains Snowflake data pipelines; activates payment monitoring scenarios; and delivers the KPI infrastructure used for executive reporting across multiple platforms. As the primary Snowflake subject matter expert for Payment Operations, the role also strengthens data literacy, documents the data architecture, and provides technical guidance that enables the broader operations organization to use data more independently.

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.\n

Monitoring Scenario Activation:

Execute activation of inactive monitoring scenarios in sequenced sprints with prioritization based on cost, risk, and revenue exposure.\n

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.\n

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.\n

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.\n

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.\n7 years of experience in data engineering, with at least 3 years in production Snowflake environments.\nExpert SQL proficiency, including recursive common table expressions, stored procedures, and performance tuning on large-scale datasets.\nHands-on experience with Snowflake-native patterns, including Snowpipe, streams and tasks, clustering, and virtual warehouse configuration.\nDemonstrated ability to absorb an unfamiliar data architecture quickly

reading existing schemas, reverse-engineering legacy stored procedures, and mapping undocumented data flows.

\nExperience building and supporting production data pipelines, monitoring workflows, automated batch processes, and data quality controls.\nExperience with enterprise job scheduling tools such as Automic, Airflow, or dbt Cloud for managing production batch workloads. Preferred Skills Experience working as an embedded data engineer within a business operations team, with the ability to translate technical work into plain language for non-technical colleagues.\nComfort working with AI tools and applying them to accelerate data engineering workflows, analysis, and documentation.\nExperience in healthcare payment processing, including

ACH, EDI 835

delivery, virtual card (VCC or VRA), or provider payment disbursement workflows.\nFamiliarity with SIGMA or equivalent cloud-native BI platforms (Looker, Hex, or similar) connected to a Snowflake backend.\nExposure to HIPAA-compliant data handling practices and healthcare data governance frameworks.\nExperience conducting peer reviews of SQL or pipeline code in a cross-functional setting.\nSnowflake 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.

00 At Zelis we are committed to providing fair and equitable compensation packages. The base salary range allows us to make an offer that considers multiple individualized factors, including experience, education, qualifications, as well as job-related and industry-related knowledge and skills, etc. Base pay is just one part of our Total Rewards package, which may also include discretionary bonus plans, commissions, or other incentives depending on the role. Zelis' full-time associates are eligible for a highly competitive benefits package as well, which demonstrates our commitment to our employees' health, well-being, and financial protection. The US-based benefits include a 401k plan with employer match, flexible paid time off, holidays, parental leaves, life and disability insurance, and health benefits including medical, dental, vision, and prescription drug coverage. Equal Employment Opportunity\nZelis is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We welcome applicants from all backgrounds and encourage you to apply even if you don't meet 100% of the qualifications for the role. We believe in the value of diverse perspectives and experiences and are committed to building an inclusive workplace for all. Accessibility Support\nWe are dedicated to ensuring our application process is accessible to all candidates. If you are a qualified individual with a disability or a disabled veteran and require a reasonable accommodation with any part of the application and/or interview process, please email TalentAcquisition@zelis.com. Disclaimer The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. 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