The Senior Data Engineer designs, builds, and maintains scalable data pipelines and architectures to support the Denials AI workflow.
Requirements
- Bachelor's or master's degree in Computer Science, Data Engineering, or related field
- 5+ years of hands-on experience building and operating production-grade data pipelines
- Solid experience with workflow orchestration tools (Dagster) and transformation frameworks (DBT) or other similar tools
- Strong SQL skills on PostgreSQL for data modeling and query optimization
- Working knowledge with AWS data services: Athena, Glue, SQS, SNS, IAM, and CloudWatch
- Basic proficiency in Python and Python data frameworks (Pandas, PySpark)
- Experience with version control (GitHub) and CI/CD for data projects
- Familiarity with healthcare data standards and HIPAA compliance
- Experience mentoring or leading small technical efforts
- Proficiency in Microsoft Office Suite
- Strong interpersonal skills, ability to communicate well at all levels of the organization
- Strong problem solving and creative skills and the ability to exercise sound judgment and make decisions based on accurate and timely analyses
- High level of integrity and dependability with a strong sense of urgency and results oriented
- Excellent written and verbal communication skills required
