Top Data & Analytics Jobs

Support and operate SQL Server and MongoDB Atlas platforms, ensuring performance and reliability in a 24/7 production environment, including troubleshooting and incident management.

The Senior Data Engineering Analyst manages structured data to deliver insights, performs analyses, ensures data quality, and collaborates with stakeholders.

The Principal Data Engineer will lead data engineering efforts on public cloud, design scalable solutions, build data pipelines, and drive deliverables with a high level of technical expertise in relevant technologies.

The role involves delivering operational reporting and analytics, data extraction, cleansing, and ensuring data quality for Rx Clinical Operations, requiring collaboration with stakeholders for continuous improvement.

Support the data engineering lifecycle including design, testing, and deployment of data solutions while leading data acquisition and ensuring data quality in healthcare domains.

Lead a team of Data Analysts in supporting Rx Clinical Operations with reporting and analytics, ensuring quality and timeliness in outputs and stakeholder engagement.

Design and implement scalable ETL/ELT pipelines for structured and unstructured data, ensure data quality for bot training and real-time decisions, integrate data with conversational AI platforms, monitor and maintain voice bot systems, implement logging/monitoring, optimize data flows, and collaborate with AI/ML, DevOps, and compliance teams.

The Associate Data Engineering Manager will design and optimize scalable data pipelines using Databricks, ensuring high-quality data for various analysis teams, while adhering to governance and quality standards.

The Healthcare Analyst will ensure provider data accuracy through quality reviews, audits, and collaboration with stakeholders to improve processes and insights.

Lead Full Stack Engineer responsible for data architecture, cloud solutions, and technical leadership. Mentor teams and implement data governance, ensuring compliance and optimizing data pipelines and infrastructure.