Data Engineer

This is a fully remote position, open to applicants in Massachusetts.

📋 Description

• Develop and maintain data pipelines, ETL processes, and workflows to gather, cleanse, and transform data from diverse sources into accessible formats.

• Ensure the integrity, quality, and accuracy of data throughout the entire data processing lifecycle.

• Analyze and interpret healthcare claims data and related datasets to uncover patterns, trends, and insights.

• Create reports, dashboards, and visualizations to effectively communicate findings to non-technical stakeholders.

• Design, develop, and maintain databases, data models, and schemas for the efficient storage and retrieval of data.

• Collaborate with cross-functional teams, including health policy experts, analysts, and healthcare stakeholders, to comprehend business requirements and translate them into data solutions.

• Stay informed about emerging technologies, industry trends, and best practices in data analysis, engineering, and visualization.

• Identify opportunities to enhance data infrastructure, processes, and analytics capabilities.

⛳️ Requirements

• In-depth knowledge of health data, multi-payer databases, public healthcare payers, claims processing, and claims data analytics.

• Understanding of US healthcare policy, trends, and factors such as eligibility, utilization, cost, and equity.

• Familiarity with the role of state government in healthcare.

• Proficiency in data analysis and visualization using tools such as SQL, Python, R, Excel, or similar.

• Expertise in data profiling, manipulation, and transformation utilizing tools like Pandas, SQL, or similar.

• Mastery of data visualization platforms such as Tableau or Power BI.

• Knowledge of data modeling, database management, and cloud-based data solutions (e.g., AWS, Azure, Google Cloud).

• Strong grasp of statistical analysis, data mining, and machine learning concepts.

• Excellent problem-solving, critical thinking, and analytical skills, with a strong attention to detail.

• Effective communication and collaboration skills, with the ability to present complex findings clearly and concisely.

• Bachelor's or Master’s degree in healthcare administration, data science, statistics, or equivalent work experience is preferred.

• 5+ years of experience in SQL.

• 5+ years of experience as a data analyst in the healthcare sector, ideally in claims.

• Ability to sit for prolonged periods at a desk and work on a computer.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health benefits, including medical, dental, and vision coverage.

• Opportunities for professional development and continuing education.

• Flexible work hours and remote work options.

• Supportive work environment with a focus on collaboration and innovation.