Data Engineer 2

Accountabilities:

• • 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 skills and the ability to work effectively with multidisciplinary teams.
  • Ability to work for prolonged periods at a desk using a computer.

  Benefits:

  • Competitive annual salary of approximately $90,397–$108,477.
  • Opportunity to work on healthcare data initiatives focused on improving quality, affordability, equity, and wellbeing.
  • Exposure to complex healthcare claims, multi-payer, and public healthcare datasets.
  • Collaborative environment working alongside data professionals, healthcare analysts, policy experts, and other stakeholders.
  • Opportunity to contribute to data infrastructure, analytics, and solutions with meaningful real-world impact.
  • Professional environment emphasizing teamwork, open communication, high standards, and continuous improvement.
  • Full-time position with a remote work environment.
  • Opportunity to work on challenging data projects across the US healthcare landscape.