Lead Data Engineer - Finance & Accounting Focus

Overview

At Zelis, we Get Stuff Done. So, let’s get to it!

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.

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.

The Lead Data Engineer – Finance & Accounting focus owns the design, development, and delivery of scalable, cloud-native data services supporting finance treasury and accounting functions, including financial reporting, reconciliation, billing, and operational accounting use cases. This role combines hands-on data engineering, technical leadership, and end-to-end project ownership, with accountability from solution design through production delivery.

The ideal candidate brings strong finance and accounting domain experience, deep expertise in AWS and Snowflake, and a proven ability to architect data platforms that ensure accuracy, traceability, and audit readiness while leading complex initiatives and mentoring engineers.

• Own end-to-end delivery of finance and accounting data service solutions, from requirements and architecture through implementation, testing, deployment, and support
• Design and implement Snowflake-based financial data architectures, including accounting-ready data models and DBT transformation pipelines
• Build and maintain high-reliability data pipelines supporting financial reporting, reconciliations, close processes, and downstream analytics
• Lead cloud data engineering initiatives across the data platform supporting general ledger, revenue, payments, claims, billing, and operational finance workflows
• Serve as technical lead on finance-focused projects, setting engineering standards, making architectural decisions, and ensuring delivery quality and timelines
• Partner closely with Finance, Accounting, FP&A, and Analytics teams to translate business and accounting requirements into scalable data products
• Ensure financial data integrity, auditability, and traceability, including controls, lineage, and reconciliation logic
• Mentor and guide data engineers through code reviews, design reviews, and hands-on technical leadership
• Establish and enforce data quality, observability, and governance practices aligned to financial and regulatory expectations
• Support migration of financial data platforms from on-premises systems to cloud-based solutions
• Drive Agile delivery practices, participating in sprint planning, standups, retrospectives, and release management
• Uphold data privacy, security, and compliance standards relevant to financial and healthcare data

• 7+ years of experience in data engineering, with 2+ years in a technical lead or ownership role
• Demonstrated experience developing data solutions for finance and accounting domains, such as general ledger, revenue, payments, claims, billing, or financial reporting
• Proven experience designing and delivering Snowflake cloud data warehouse solutions
• Strong cloud engineering experience supporting financial data platforms, including data lakes, pipelines, and cloud-native services
• Advanced SQL expertise, including complex joins, performance tuning, and reconciliation logic
• Experience building and managing enterprise financial data warehouses and data lakes
• Hands-on experience migrating financial data systems from on-premises SQL platforms to cloud environments
• Strong understanding of financial data modeling, ETL/ELT patterns, and analytics…