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Jobright.ai

Jobright.ai

via Built In

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Data Engineer Advanced Analytics Team, Mid-Level (Remote)

Anywhere
full-time
Posted 8/14/2025
Verified Source
Key Skills:
SQL
Python
Snowflake
dbt
Data Engineering
Azure
AWS
Tableau
Power BI
Epic Cogito

Compensation

Salary Range

$90K - 130K a year

Responsibilities

Design, build, and maintain scalable data pipelines and analytics infrastructure to support healthcare clients using SQL, Python, Snowflake, and dbt.

Requirements

3-5 years data engineering experience, bachelor's degree, experience with Epic Cogito data models, strong programming skills in SQL and Python, and cloud platform experience.

Full Description

Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Chartis is a purpose-driven organization focused on reshaping healthcare for the better through innovative solutions. The Data Engineer in the Advanced Analytics team will design, build, and deploy data processing and analytics infrastructure to support healthcare clients, ensuring efficient data ingestion and processing while enhancing the firm's analytics capabilities. 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: Required: • 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. • 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. Preferred: • Familiarity with common healthcare data formats (835s, 837s, etc.) and/or experience working in the healthcare revenue cycle industry, preferred. • While there are no location requirements, geographic proximity to either our Chicago, New York, or Boston offices is preferred. Company: The challenges facing US healthcare are longstanding and all too familiar. We are Chartis, and we believe in better. Founded in 2001, the company is headquartered in Boston, Massachusetts, USA, with a team of 501-1000 employees. The company is currently Late Stage. Chartis has a track record of offering H1B sponsorships.

This job posting was last updated on 8/15/2025

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