Data Engineer, Chartis

• We’re looking for collaborative, creative problem solvers with a strong desire to materially improve the delivery of healthcare
• 3 to 5 years of applicable experience in Data Engineering, Data Science, or Analytics
• Proven ability to develop and manage scalable data ingestion pipelines for real-time and batch processing
• Previous exposure to common healthcare data file formats (e.g. 837s, 835s, EDI-820, etc.)
• Bachelor’s degree in technology-related field of study (e.g. Computer Science, Health Informatics, Management Information Systems (MIS), Data Science, Analytics, etc.)
• Strong programming experience developing and delivering analytics with languages and tools such as SQL, Python, Snowpark, dbt, Jupyter Notebooks, R, and Git
• Experience with emerging big data processing technologies such as Snowflake, Databricks, or BigQuery, and platforms including Microsoft Azure and Amazon AWS
• Previous experience in the buildout and maintenance of analytic infrastructure to support scalable data processing and reporting workflows
• Exposure to frontend/visualization analytical tools, including Tableau and Power BI, to design and support data-driven dashboards and reports
• Hands-on experience with cloud-based environments, especially in Microsoft Azure, for managing and optimizing analytic workloads
• Strong interpersonal and communication skills – possessing the ability to communicate and deliver complex analytics information to clients and executive audiences
• Complex problem-solving and critical thinking skills – the ability to identify, critically assess, evaluate options, and implement solutions in a fast-paced and dynamic environment
• Ability to use logic and reason to identify strengths and weaknesses of alternative solutions, conclusions, or approaches to problems
• Ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated information or events)
• Eagerness to train and knowledge-share with the team
• Enthusiasm to navigate and continue learning in an entrepreneurial environment

• The Chartis Group’s Advanced Analytics Team is responsible for providing high quality data and analytic support to client engagements, internal research, and development initiatives within the firm
• They apply advanced data methodologies and sophisticated analytical tools and skills to derive compelling quantitative findings from client, industry, and proprietary datasets
• Data Engineers play an exciting role within the Analytics team at Chartis, helping to design, build, and deploy cutting-edge capabilities to aid our clients across the healthcare industry while growing the firm’s overall data and analytics acumen
• Play a pivotal role in scaling up data processing and analytics infrastructure, ensuring efficient and secure data ingestion and processing using Snowflake SQL, Python, and dbt
• Design, build, and maintain data pipelines and ETL/ELT processes within our secure data processing platform to support derivative analytics (from requirements gathering to data transformation, data modeling, metric definition, reporting, etc)
• Develop code using technologies such as Snowflake, SQL, Python, dbt, R, SAS, etc
• Lead the translation, integration, and evolution of analytics artifacts deployed on client engagements into standardized and scalable components of the Chartis analytics infrastructure
• Collaborate with analytics team members to design and manage technological infrastructure across multiple data platforms
• Identify business-aligned emerging healthcare analytic themes in collaboration with leadership and lead innovation with the design and development of new capabilities and solutions
• Develop compelling PoCs for data solutions using emerging technologies for big data ingestion and processing
• Help define standards and best practices for enterprise data usage
• Identify opportunities to optimize existing data workflows, improving performance, reliability, and scalability
• Assist in the setup, configuration, and ongoing maintenance of analytics infrastructure, including data warehouses, pipelines, and visualization environments
• Support the continued development of data and analytics culture across Chartis through knowledge share, cross-functional training, and mentorship
• Ensure the security, confidentiality, and integrity of client information for yourself and the team

Chartis is a healthcare consultancy group that works with providers, payers, investors, technology and retail companies. It helps these organisations to devise strategies and operating models that contribute to reshaping healthcare for the better.