Data Engineer - Healthcare

CenterWell

1d • Remote

About The Position

The Data Engineer 2 will develop scalable data processing architectures and solutions that facilitate the efficient transformation of structured and unstructured data into insights across the enterprise. You will work on diverse assignments that require interpretation to determine the most appropriate course of action. You will report to the Lead Data Engineer. You will ingest data from internal and external sources using cloud-native platforms and applies industry-standard software development practices and patterns. You will develop capabilities using artificial intelligence, machine learning, and big data techniques to transform data, allowing Humana to enhance service delivery for members. You will contribute to shape departmental strategy and make 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.
• Comprehensive knowledge of Microsoft Office Applications.
• Assess complex data sets and conduct root cause analysis.
• Experience using data to improve outcomes and decisions.
• Can work in the EST time zone.

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 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

• Develop scalable data processing architectures and solutions.
• Facilitate the efficient transformation of structured and unstructured data into insights across the enterprise.
• Ingest data from internal and external sources using cloud-native platforms.
• Apply industry-standard software development practices and patterns.
• Develop capabilities using artificial intelligence, machine learning, and big data techniques to transform data.
• Enhance service delivery for members.
• Contribute to shape departmental strategy.
• Make decisions regarding technical approaches to complex project components.
• Exercise considerable latitude in setting goals and methods.

Benefits

• medical
• dental
• vision benefits
• 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