Waystar, the leading Healthcare Revenue Cycle Management (RCM) technology company, is seeking a skilled Data Engineer to support the growing Data Licensing and Resale product team by designing, building, and optimizing scalable data pipelines and infrastructure to deliver licensed data products and insights to customers.
Requirements
- 5–7 years of experience in data engineering with a focus on cloud-based data platforms.
- Experience working with relational databases such as SQL Server and Postgres.
- Proven experience designing and implementing large-scale data pipelines with a focus on value delivery and performance.
- Strong understanding of data warehousing, data lakes, and modern data architectures.
- Experience working with data-sharing frameworks and licensing models.
- Experience with Snowflake and Google BigQuery.
- Experience with Python and SQL.
Responsibilities
- Design and implement scalable, high-performance data pipelines using Snowflake and Google BigQuery to deliver licensed data products to customers.
- Develop and maintain ETL/ELT processes to ingest, transform, and store structured and unstructured data, ensuring data accuracy and timeliness.
- Build data infrastructure to support real-time and batch processing use cases for customer-facing products.
- Establish and enforce data quality and privacy standards and monitoring to ensure consistent and accurate data delivery to customers.
- Monitor and troubleshoot data pipeline performance issues and implement proactive improvements to minimize downtime and data delivery delays.
- Design and implement data models to support data licensing and resale use cases, ensuring they meet customer requirements and business goals.
- Integrate data from multiple source systems, including SQL Server, Postgres, and external APIs, ensuring data consistency and reliability.
Other
- Bachelor's or Master’s degree in Computer Science, Data Engineering, or comparable experience.
- Strong business-focused mindset with a clear drive to deliver measurable outcomes.
- Strong attention to detail and focus on data accuracy and quality.
- Ability to work in a fast-paced environment.
- Competitive total rewards (base salary + bonus, if applicable)
