Key Responsibilities Design, develop, and maintain complex technical solutions, including custom user interfaces, automation tools, and data pipelines supporting provider data, adoption, and regulatory compliance initiativesBuild and enhance UI-driven tools and workflow solutions that automate manual processes, enable structured data collection, and support downstream reporting and analyticsDevelop and maintain ETL processes that ingest, transform, reconcile, and consolidate data from multiple internal systems and external vendor filesAutomate complex reconciliation and matching processes, reducing manual effort and enabling low-touch or one-click workflows for operational teamsTranslate business and operational requirements into scalable technical solutions, including data models, ETL logic, automation workflows, and backend processing across multiple platforms and data sourcesRefactor and modernize legacy reporting and automation solutions, improving performance, scalability, reliability, and maintainability across enterprise migration and modernization initiativesWork hands-on with complex and incomplete (“messy”) data, partnering with business stakeholders to understand upstream processes, data gaps, and system behaviorsPartner directly with IT teams at a technical design level, defining data structures, tables, indices, and upstream capture requirements to ensure solutions are implemented correctly and sustainablyServe as a technical liaison between business and IT, while also performing hands‑on development work; this role is a hybrid of developer and business analyst, not a requirements‑only positionSupport end‑to‑end technical delivery for high‑visibility initiatives, including enterprise migrations, automation programs, provider data modernization, and regulatory reportingIdentify opportunities for process improvement and automation to reduce manual effort, improve data quality, and increase operational efficiencyEnsure data accuracy, consistency, and reliability across regulated and compliance‑sensitive environments through strong development, validation, and quality practicesRequirements Bachelor's degree or higher strongly preferred or equivalent work experience requiredStrong experience with SQL and relational data designHands‑on experience with ETL development and data pipeline engineeringProficiency in Python, C#, SSIS, and SAS (or comparable combination of scripting and programming languages)Experience building custom user interfaces or internal tools that support data capture, automation, or operational workflowsAbility to translate complex business processes into technical, production‑ready solutionsExperience working cross‑functionally with business partners and IT teams in complex enterprise environments#J-18808-Ljbffr.