Hybrid Data Engineer Advanced Analytics Team na Chartis
Chartis · Chicago, Estados Unidos Da América · Hybrid
- Professional
- Escritório em Chicago
Data Engineer Advanced Analytics Team
About Chartis
Role Overview
Responsibilities
- 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.
- Using SQL, create data extracts scripts from Epic EHR systems for use across client projects and teams.
- 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.)
- Lead the translation, integration, and evolution of analytics artifacts deployed on client engagements into standardized and scalable components of the Chartis analytics infrastructure.
- Develop compelling proofs of concept for data solutions using emerging technologies for big data ingestion and processing.
- 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.
Qualifications and Desired Skills
- 3 to 5 years of applicable experience in Data Engineering, Data Science, or Analytics.
- Bachelor’s degree in technology-related field of study (e.g. Computer Science, Health Informatics, Management Information Systems (MIS), Data Science, Analytics, etc.)
- Current or previous experience in Cogito with a focus on Resolute Hospital Billing, Resolute Professional Billing, and/or the Patient Access models (Cadence, Prelude, Grand Central). Certification with experience directly supporting any Epic Cogito or Clarity data models is preferred.
- Familiarity with common healthcare data formats (835s, 837s, etc.) and/or experience working in the healthcare revenue cycle industry, preferred
- 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.
- Proven ability to develop and manage scalable data ingestion pipelines for real-time and batch processing.
- 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.
- 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.
- Excellent verbal and written communication skills and a capacity for translating product and business needs into technical specifications
- Top-notch analytical and problem-solving skills, deep curiosity, and a desire to learn more
- While there are no location requirements, geographic proximity to either our Chicago, New York, or Boston offices is preferred.