Data Engineer 2

CenterWell

1d • Remote

About The Position

The Data Engineer 2 develops scalable data processing architectures and solutions that facilitate the efficient transformation of structured and unstructured data into applicable insights across the enterprise. You will work on diverse assignments that require interpretation and judgment to determine the most appropriate course of action. You will report to the Director, Business Intelligence. You will work in a remote capacity. You will ingest data from internal and external sources using cloud-native platforms and applies industry-standard software development practices and patterns. You will use AI, machine learning, and big data to transform data and support improved service delivery for members. You will help shape departmental strategy and decisions regarding technical approaches to complex project components, exercising considerable latitude in setting goals and methods. Use your skills to make an impact.

Requirements

• Bachelor's degree in Computer Science, Data Science, Engineering, or related field.
• 2+ years' technical experience in data analysis or engineering.
• Proficiency in SQL and Python.
• Proficiency with Microsoft Office Applications.
• Experience in Microsoft Power Platform (Dataverse, Power Apps, connectors).
• Experience assessing complex data sets and conducting root cause analysis.
• Use data to guide decisions and outcomes.

Nice To Haves

• Advanced degree in a quantitative discipline such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering, or related field.
• Experience working with healthcare data.
• Experience working with data from diverse EHRs.
• Understanding of Membership, Medicare Risk Adjustment, and quality metrics (such as HEDIS).
• Experience working with Snowflake Cloud.
• Experience with the Azure ecosystem.
• Familiarity with dbt (data build tool) framework.

Responsibilities

• Develops scalable data processing architectures and solutions.
• Facilitates the efficient transformation of structured and unstructured data into applicable insights across the enterprise.
• Works on diverse assignments that require interpretation and judgment.
• Ingests data from internal and external sources using cloud-native platforms.
• Applies industry-standard software development practices and patterns.
• Uses AI, machine learning, and big data to transform data and support improved service delivery for members.
• Helps shape departmental strategy and decisions regarding technical approaches to complex project components.
• Exercises considerable latitude in setting goals and methods.

Benefits

• medical
• dental
• vision
• 401(k) retirement savings plan
• time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
• short-term and long-term disability
• life insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level