Data Analytics Engineer

NeueHealth; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

A leading healthcare company is seeking a Data Analytics Engineer to develop and maintain core data platforms. This role involves designing ETL processes and ensuring data quality to facilitate business operations and analytics. The ideal candidate will have strong SQL skills and a background in data modeling.

Benefits

Professional growth and development opportunities

Collaborative startup-oriented environment

Qualifications

• Strong SQL skills required for complex query design.
• Experience with Python and/or Scala preferred.
• Understanding of data modeling concepts and techniques.

Responsibilities

• Design and implement ETL processes for data transformation.
• Build and maintain robust data pipelines.
• Establish and monitor data quality checks.

Skills

SQL

Python

Data Quality Management

ETL/ELT Methodologies

Analytical Skills

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Spark

Job description

WHO WE ARE

NeueHealth is a value-driven healthcare company grounded in the belief that all health consumers are entitled to high-quality, coordinated care. By uniquely aligning the interests of health consumers, providers, and payors, we help to make healthcare accessible and affordable to all populations across the ACA Marketplace, Medicare, and Medicaid.

NeueHealth delivers clinical care to health consumers through our owned clinics – Centrum Health and Premier Medical – as well as unique partnerships with affiliated providers across the country. We also enable providers to succeed in performance-based arrangements through a suite of technology and services scaled centrally and deployed locally. Through our value-driven, consumer-centric approach, we are committed to transforming healthcare and creating a better care experience for all.

NeueHealth seeks a Data Analytics Engineer to develop and maintain our core data platforms, transforming a variety of normalized data sources into silver and gold analytics-ready data models. In this technical role, you'll be responsible for designing and implementing data pipelines that clean, de-duplicate, and aggregate information essential to our business operations. You will serve as the critical bridge between our data collection systems and analytics teams, ensuring that the data is properly structured for efficient analysis and reporting. The ideal candidate combines strong SQL expertise with data modeling experience and a commitment to data quality.

Preferred locations for candidates are MN, AZ, TX & FL.

Duties & Responsibilities

• Design and implement ETL processes to convert normalized bronze-level data into our silver and gold layers

• Build and maintain robust data pipelines that clean, de-duplicate, and aggregate information
• Create standardized data models that meet the needs of analytics and reporting teams
• Establish and monitor data quality checks throughout the transformation process
• Document data lineage and transformation logic for transparency and compliance
• Partner with data engineering and analytics teams to optimize data accessibility
• Troubleshoot data quality issues and implement effective solutions
• Foster a culture of operational excellence and continuous improvement within data operations
• Approach complex data transformation challenges with creativity and a solution-oriented mindset

Experience & Qualifications

• Strong SQL skills required for complex query design and data validation
• Experience with Python and/or Scala preferred
• Knowledge of ETL/ELT methodologies and best practices
• Understanding of data modeling concepts and techniques
• Experience with data quality management and testing frameworks
• Bachelor's degree in Computer Science, Data Science, or related field, or equivalent practical experience

Professional Competencies

• Excellent analytical and problem-solving capabilities
• Ability to manage priorities effectively in a dynamic environment
• Strong attention to detail and commitment to data quality
• Self-driven with the ability to work independently and as part of a team
• Effective communication skills to collaborate with technical and non-technical stakeholders

Preferred Qualifications

• Experience with Databricks environment
• Familiarity with modern data architecture patterns
• Experience with big data technologies (Spark, Delta Lake)
• Knowledge of data governance principles
• Previous work in a data-driven organization

Why Join Us?

• Drive transformative healthcare outcomes through data platform solutions

• Collaborate closely with talented teams in a dynamic, startup-oriented environment.

• Drive impact by making our data more valuable and accessible across the organization

• Professional growth and development opportunities

As an Equal Opportunity Employer, we welcome and employ a diverse employee group committed to meeting the needs of NeueHealth, our consumers, and the communities we serve. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.