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The role involves developing user-centric UI applications, optimizing user experiences, collaborating with teams, and implementing scalable solutions focused on healthcare operations.

The Staff/Lead Data Engineer will build and manage data pipelines, ensuring data availability and quality while using technologies such as Apache Airflow and Spark.

Lead healthcare claims auditing and data mining initiatives, ensuring client growth and satisfaction while guiding project prioritization and improvements in claims processing accuracy.

Drive quality testing of DRG validation audits, ensure compliance with coding guidelines, develop coding policies, and identify new claim opportunities.

The Lead ML Engineer will build AI/ML systems for healthcare claims processing, collaborate with data teams, and automate reviews using advanced technologies.

As an Analytics Engineer, you'll transform data into insights, develop data pipelines, and collaborate with teams to enhance product decisions.

As a Backend Software Engineer, you will develop scalable backend systems, design frameworks for machine learning applications, and deliver resilient enterprise software solutions.