Propelus
Healthcare
SeniorDataAnalyticsEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Analytics Engineer at Propelus. Skills: Data pipelines, Data modeling, Analytics engineering. Develop and maintain data pipelines. Extract data”
What You'll Achieve.
Deliver key datasets; Deliver reports
Industry & Context.
Problem-solving skills; Analytical skills
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Data Science, Statistics, or a related field, 4+ years of experience in data engineering, analytics engineering, or a similar role, Proficiency in SQL, Experience with relational databases, Experience with ETL tools and techniques, Solid understanding of data modeling principles, Solid understanding of data warehouse architecture, Analytical and problem-solving skills, Experience with at least one programming language, Proficiency in using Git for version control
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Develop and maintain data pipelines
Implement machine learning models
Deploy machine learning models
Identify data integrity issues
Resolve data integrity issues
Contribute to data documentation
Contribute to metadata management
Understand stakeholder data needs
Translate data needs into technical requirements
Assist in evaluation of new data technologies
Assist in implementation of new data technologies
Participate in code reviews
Contribute to coding standards
Contribute to best practices
Manage assigned tasks
Manage assigned projects
Ensure timely delivery
Ensure quality results
Identify opportunities to improve data processes
Identify opportunities to improve data systems
How You'll Work.
Team & Collaboration
Collaborating with data scientists; Collaborating with product managers; Collaborating with engineers
Process & Methodology
Project management
Full Job Description
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: 1. Develop and maintain robust and scalable data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse. 2. Design, build, and optimize data models to support analytical needs and reporting requirements. 3. Collaborate with data scientists to implement and deploy machine learning models and analytical solutions. 4. Monitor data quality and identify and resolve data integrity issues. 5. Contribute to the development of data documentation and metadata management practices. 6. Work with stakeholders to understand their data needs and translate them into technical requirements. 7. Assist in the evaluation and implem
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