About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer II based in the United States.
This role offers the opportunity to use data engineering and analytics to help improve healthcare quality, affordability, and equity.
Responsibilities
- Develop and maintain scalable data pipelines, ETL processes, and workflows that collect, clean, transform, and prepare data from multiple sources.
- Ensure data integrity, quality, consistency, and accuracy throughout the full data processing lifecycle.
- Analyze healthcare claims and related datasets to identify meaningful patterns, trends, opportunities, and insights.
- Build reports, dashboards, and data visualizations that communicate complex findings clearly to technical and nontechnical stakeholders.
- Design, develop, and maintain databases, data models, and schemas that support efficient data storage, retrieval, and analysis.
- Partner with cross-functional teams to understand business and analytical requirements and translate them into effective data solutions.
- Apply data profiling, manipulation, transformation, and analytical techniques to support healthcare-focused projects.
- Identify opportunities to strengthen data infrastructure, improve processes, and expand analytics capabilities.
- Monitor developments in data engineering, analytics, visualization, and healthcare data practices to help improve technical approaches and solutions.
- Contribute to projects that use healthcare data to inform decisions related to quality, affordability, utilization, eligibility, cost, and equity.
Requirements
- 5+ years of professional experience working with SQL.
- 5+ years of experience as a data analyst or in a comparable data-focused role within the healthcare industry, preferably involving healthcare claims.
- Deep knowledge of healthcare data, multi-payer databases, public healthcare payers, claims processing, and claims data analytics.
- Strong understanding of U.S. healthcare policy, healthcare trends, eligibility, utilization, cost, and equity considerations.
- Knowledge of the role state governments play in healthcare and healthcare policy.
- Advanced data analysis and visualization skills using SQL, Python, R, Excel, or comparable technologies.
- Strong proficiency in data profiling, manipulation, and transformation using tools such as Pandas and SQL.
- Expertise with data visualization platforms such as Tableau or Power BI.
- Familiarity with data modeling, database management, and cloud-based data platforms such as AWS, Azure, or Google Cloud.
- Solid understanding of statistical analysis, data mining, and fundamental machine learning concepts.
- Bachelor's or Master's degree in healthcare administration, data science, statistics, or a related discipline is preferred, or equivalent relevant professional experience.
- Excellent problem-solving, critical-thinking, analytical, and organizational skills, with strong attention to detail.
- Ability to work effectively across multidisciplinary teams and collaborate with healthcare, policy, and analytics professionals.
- Strong communication skills, including the ability to explain complex data findings clearly and concisely to nontechnical audiences.
- Comfortable working for extended periods at a desk and using a computer.
Conditions
- Compensation range of $90,397–$108,477.
- Opportunity to contribute to projects focused on improving healthcare quality, affordability, and equity.
- Collaborative and team-oriented working environment with open communication and high professional standards.
- Opportunity to work alongside healthcare policy experts, data professionals, analysts, and other multidisciplinary stakeholders.
- Exposure to complex healthcare datasets, multi-payer environments, public healthcare programs, and data-driven policy initiatives.
- Opportunities to contribute to improvements in data infrastructure, analytics capabilities, and healthcare decision-making.
- Inclusive workplace that values diverse perspectives and encourages applications from historically underrepresented communities.