Senior Healthcare Data Engineer

BerryDunn is a professional services firm that specializes in assurance, tax, and consulting. They are seeking a Senior Healthcare Data Engineer to provide end-to-end data management services to clients in the healthcare sector, focusing on data quality, system analysis, and the development of data pipelines.

Responsibilities:

• Contribute to all aspects of the Systems Development Lifecycle: Engage in planning, analysis, design, and development of data management, data integration, data warehouse, and business intelligence solutions
• Participate in Goal Setting: Engage in discussions with the team, clients, and project sponsors to determine project goals and set priorities
• Translate Requirements: Convert business and technical requirements into detailed data analysis and system design specifications
• Implement and Maintain Data and Analytic Solutions: Utilize database, programming, and ETL tools to implement and maintain data management and warehousing solutions, creating valuable data analytics assets for clients
• Collaborate with Interested Parties: Work closely with clients and the BerryDunn team to analyze systems, gather requirements, map data pipelines, and assess data quality
• Ensure Data Quality: Conduct data quality analysis, investigate and resolve issues to ensure data integrity and accuracy
• Develop Reports and Analytics: Create and deliver reports and analytic applications using suitable business intelligence or custom tools to meet client needs
• Optimize Processes: Improve efficiency and reliability of client and BerryDunn data processes through innovative solutions and best practices
• Leverage AI: Use Artificial Intelligence tools to enhance productivity and improve project deliverables
• Support Cross-Functional Teams: Collaborate with other groups within BerryDunn to provide support for data and system analysis, data pipeline engineering, and data architecture
• Mentor and Lead: Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement
• Stay Current with Industry Trends: Keep abreast of the latest trends and technologies in data engineering, healthcare analytics, and data science to ensure BerryDunn remains at the forefront of the industry
• Ensure Compliance and Security: Ensure all data solutions comply with industry standards, regulations, and security protocols, particularly those specific to healthcare

Requirements:

• Extensive Data Engineering Experience: A minimum of five years of experience in data engineering, database development, or data warehouse ETL development
• Business and System Analysis: A minimum of five years of experience in gathering, analyzing, and defining business and system requirements
• Programming Proficiency: Intermediate to advanced SQL and Python skills, with a proven ability to write complex queries and optimize database performance. Experience with SAS and other technologies is a plus
• Cloud Technologies: Experience with Amazon Web Services (AWS), Azure, and Snowflake
• Data Visualization: Proficiency in data visualization tools such as Tableau, Power BI, or similar, with the ability to create insightful and actionable visual reports
• API Integration: Experience in developing and consuming APIs for data integration and ensuring seamless data flow between systems
• Agile Methodologies: Experience working in Agile/Scrum environments, with the ability to adapt to fast-paced, iterative development processes
• Security Best Practices: Knowledge of data security best practices, including encryption, access controls, and compliance with data privacy regulations (e.g., HIPAA)
• Data Quality Expertise: Strong ability to analyze data with a focus on identifying and resolving data quality issues, ensuring data integrity and accuracy
• Analytical and Problem-Solving Skills: Demonstrated interest in developing a wide range of data analytics skills to be applied across multiple, diverse projects in a dynamic and changing environment
• Team Orientation: A team-oriented mindset with a friendly and professional demeanor, coupled with the ability to remain flexible amid changing needs and priorities
• Collaboration Skills: Ability to work effectively with coworkers and diverse clients through periods of both intense interaction and self-directed work
• Communication Skills: Excellent written and verbal communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
• Project Management Abilities: Experience in managing projects or leading teams, with strong organizational skills and attention to detail
• Healthcare Knowledge: Prior experience or familiarity with healthcare data standards, regulations, and practices is a plus
• Educational Background: A bachelor's degree in computer science, mathematics, statistics, economics, engineering, or another discipline with substantial quantitative coursework. Advanced degrees or relevant certifications are a plus
• Healthcare claims data experience
• Experience working for or directly with a Medicaid agency
• Basic understanding of machine learning concepts and experience with implementing machine learning models
• Ability to support work in multiple time zones, as needed