Data Engineer 2

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 2 based in United States. This role offers the opportunity to build and improve data solutions that support better healthcare outcomes, affordability, and equity. You will design and maintain data pipelines, databases, analytical frameworks, and data workflows using complex healthcare datasets. Working alongside analysts, health policy experts, and other stakeholders, you will translate business and analytical needs into reliable and scalable data solutions. The position combines hands-on data engineering with healthcare data analysis, visualization, and problem-solving. You will work extensively with claims and multi-payer data while helping strengthen data quality, infrastructure, and analytical capabilities. This is a strong opportunity for an experienced data professional who wants to apply technical expertise to meaningful healthcare challenges. Develop, maintain, and optimize data pipelines, ETL processes, and workflows that collect, clean, transform, and integrate data from diverse sources. Ensure data integrity, accuracy, consistency, and quality throughout the data processing lifecycle. Analyze healthcare claims and related datasets to identify patterns, trends, opportunities, and actionable insights. Design, develop, and maintain databases, data models, schemas, and other structures that enable efficient data storage and retrieval. Profile, manipulate, transform, and prepare complex datasets for analysis using appropriate technical tools and methodologies. Create reports, dashboards, and data visualizations that communicate analytical findings clearly to technical and non-technical audiences. Partner with healthcare analysts, policy experts, stakeholders, and cross-functional teams to understand requirements and translate them into effective data solutions. Identify data-related challenges and opportunities and recommend improvements to infrastructure, processes, workflows, and analytical capabilities. Apply appropriate statistical, analytical, and data mining techniques to support healthcare research and decision-making. Stay current with emerging technologies, data engineering practices, healthcare data trends, and visualization methodologies. Contribute to a collaborative, quality-focused environment while maintaining high standards of accuracy and attention to detail. Requirements: Bachelor’s or master’s degree in healthcare administration, data science, statistics, or a related field, or equivalent professional experience. 5+ years of experience working with SQL. 5+ years of experience as a data analyst or data-focused professional within the healthcare industry, preferably with healthcare claims data. Deep knowledge of health data, multi-payer databases, public healthcare payers, claims processing, and claims data analytics. Strong understanding of US healthcare policy, industry trends, eligibility, utilization, healthcare costs, and health equity. Knowledge of the role of state governments in healthcare and how policy and regulatory environments influence healthcare data. Advanced data analysis and visualization capabilities using SQL, Python, R, Excel, or comparable tools. Strong experience with data profiling, manipulation, and transformation using technologies such as Pandas and SQL. Advanced proficiency with data visualization platforms such as Tableau or Power BI. Familiarity with data modeling, database management, and cloud-based data environments such as AWS, Azure, or Google Cloud. Solid understanding of statistical analysis, data mining, and machine learning concepts. Strong problem-solving, critical-thinking, analytical, and data interpretation skills, with exceptional attention to detail. Excellent written and verbal communication skills, including the ability to explain complex data findings clearly to non-technical stakeholders. Strong collaboration skill