Senior Data Analytics Engineer

About this role

Propelus simplifies workforce compliance management across healthcare. Our innovative technology and strategic partnerships empower millions of professionals, their employers, and regulators to work together, creating a connected and efficient healthcare ecosystem.

As a trusted leader for over 20 years, Propelus has focused on bringing more good into the lives of the people and organizations serving healthcare. We deliver seamless compliance solutions to millions. We leverage market-leading technology and essential data to simplify complex operations, reduce risk, and champion a safer, healthier, and happier workforce.

Job Summary: As an Analytics Engineer, you will play a crucial role in transforming raw data into actionable insights to support data-driven decision-making across the company. You will work independently on assigned projects, collaborating with data scientists, product managers, and engineers to build, maintain, and improve our data infrastructure and analytics pipelines. Your work will contribute directly to the efficiency and effectiveness of our compliance management technology, enabling us to better serve our clients and drive innovation. You will contribute to the delivery of key datasets and reports, ensuring data quality and accessibility.

Key Responsibilities include, but are not limited to:

• Develop and maintain robust and scalable data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse.
• Design, build, and optimize data models to support analytical needs and reporting requirements.
• Collaborate with data scientists to implement and deploy machine learning models and analytical solutions.
• Monitor data quality and identify and resolve data integrity issues.
• Contribute to the development of data documentation and metadata management practices.
• Work with stakeholders to understand their data needs and translate them into technical requirements.
• Assist in the evaluation and im...