Healthcare Data Engineer

BerryDunn is hiring a Healthcare Data Engineer for its Healthcare Analytics Practice Group. The role delivers healthcare data management and analytics solutions for government and private clients, including data integration, warehousing, business intelligence, reporting, and data quality work.

Responsibilities:

• Contribute to all aspects of planning, analysis, design, and development of data management, data integration, data warehouse, and business intelligence solutions
• Use database, analytic programming, and extract, transform, and load (ETL) tools to implement and maintain data management and warehousing solutions and create valuable data analytics assets for clients
• Work with clients and members of the BerryDunn team to analyze systems, gather requirements, map data pipelines, and assess data quality
• Perform data quality analysis, investigate and resolve unusual findings
• Translate business and technical requirements into data analysis and management plan specifications
• Develop and deliver reports and analytic applications using suitable business intelligence or custom tools to meet client needs
• Participate in discussions to determine goals and priorities with team, clients, or project sponsors
• Improve efficiency and reliability of client and BerryDunn data processes
• Work with other groups within BerryDunn to provide support for system analysis, data pipeline engineering, and data architecture

Requirements:

• Two to four years' experience with data engineering/ETL development
• Strong SQL skills and experience working with relational databases
• Experience analyzing, transforming, validating, and troubleshooting complex datasets
• Experience with business intelligence and reporting tools such as Tableau, Power BI
• Experience defining business requirements
• Knowledge of cloud-based databases and platforms
• A bachelor's degree in computer science, mathematics, statistics, economics, engineering, or another discipline with substantial quantitative coursework
• Interest in developing a wide range of data analytics skills to be applied across multiple, diverse projects in a changing environment
• Attention to detail and critical thinking skills
• Strong oral and written communication skills
• A team orientation with a friendly and professional demeanor and an ability to remain flexible amid changing needs
• Ability to work with coworkers and diverse clients through periods of both intense interaction and self-directed work
• Experience with healthcare payers, Medicaid, public health, or human and health services data strongly preferred
• Experience developing cloud-based infrastructure and APIs a plus
• Python experience preferred but not required
• SAS experience preferred but not required