Rippl is looking to solve the problem of inadequate dementia care for seniors and their families by leveraging technology and a new care model. The Data Engineer will be instrumental in building the data infrastructure to support this mission, enabling data-driven insights for clinical teams and business leaders to improve patient outcomes.
Requirements
- Strong experience with SQL and relational databases (PostgreSQL, SQL Server, etc.)
- Experience with data modeling and ETL frameworks like Fivetran
- Professional working experience with dbt
- Proficiency in Python, Spark, or other data processing frameworks
- Hands-on experience with cloud data platforms (e.g., AWS, GCP, Azure)
- Experience with data warehousing (e.g., BigQuery, Snowflake, Redshift)
- Experience working with healthcare claims or clinical data
Responsibilities
- Design and maintain scalable and secure data pipelines using modern ETL frameworks (e.g., dbt, Fivetran) on cloud platforms, including AWS and GCP.
- Build and manage cloud-based data warehouses (e.g., BigQuery, Snowflake) and data marts.
- Perform data quality checks, validations, and mapping for health plan data feeds (standard and custom formats).
- Translate health plan specifications and map differences across varying data structures.
- Optimize data systems and troubleshoot data issues across the pipeline and storage layers.
- Implement and enforce data governance, security, and privacy standards aligned with HIPAA and other regulatory requirements.
- Architect and maintain robust, scalable data pipelines and storage systems using modern cloud platforms and ETL frameworks.
Other
- Values-driven, mission-focused, dynamic Healthcare Data Engineer
- Passionate about working with seniors (and their families), especially those navigating challenges with dementia.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
- 6+ years of professional experience in data engineering, with 3+ years in the healthcare industry
- Familiarity with HIPAA compliance, security, and privacy best practices
