Similar Jobs
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
What you need to know about the Seattle Tech Scene
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
