1. Data Architecture and Engineering

• 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.
  

2. Data Modeling and Integration

• 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.

• Create and maintain data dictionaries and metadata to support customer understanding and self-service analytics.

• Implement data partitioning, indexing, and clustering strategies to improve query performance and reduce processing time.

• Develop and maintain secure de-dentification and data-sharing mechanisms to ensure appropriate access controls for licensed data products.
  

3. Data Licensing and Product Support

• Work closely with product and business teams to define data product requirements and deliver licensed data products that meet customer expectations.

• Implement secure data-sharing protocols to ensure that licensed data is accurately and efficiently delivered to customers.

• Design and implement data anonymization and de-identification processes to meet data privacy and HIPAA compliance requirements.

• Create scalable data delivery mechanisms to support on-demand and scheduled data access for external clients.

• Ensure data licensing agreements and customer contracts are reflected accurately in data access controls and delivery processes.
  

4. Value Delivery and Customer Outcome Achievement

• Partner with business and product teams to understand customer goals and translate them into data engineering solutions.

• Ensure that data products and pipelines deliver measurable business value and directly improve customer outcomes (e.g., better claim processing insights, faster payment reconciliation).

• Establish KPIs to track the business impact of data solutions and continuously improve them.

• Actively identify opportunities to improve data quality and speed of delivery to enhance customer experience and support data product growth.
  

5. Automation and Performance Optimization

• Automate repetitive data processing tasks using Python and SQL to reduce manual effort and increase efficiency.

• Monitor and optimize data pipeline performance, addressing bottlenecks and failures to improve customer satisfaction.

• Leverage Snowflake’s performance features (e.g., micro-partitions, clustering, materialized views) to optimize query performance.

• Implement data orchestration using tools like Airflow or dbt to automate and monitor workflows.

Required:

• Bachelor's or Master’s degree in Computer Science , Data Engineering, or comparable experience.

• 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.

• Strong business-focused mindset with a clear drive to deliver measurable outcomes.

• Strong attention to detail and focus on data accuracy and quality.
  

Preferred:

• Experience working with healthcare data and understanding RCM processes (claims, billing, payments).

• Familiarity with data orchestration tools (e.g., Airflow, dbt ).

• Experience with data security, access controls, and healthcare data compliance (HIPAA).

• Experience with data licensing agreements and customer-facing data products.

• Strong problem-solving skills and ability to work in a fast-paced environment.
  

Why Join Us

• Opportunity to work with cutting-edge cloud data technologies.

• Play a key role in delivering licensed data products that drive customer value.

• Work in a collaborative and innovative environment.

• Competitive salary, benefits, and career development opportunities.

• Be part of a mission-driven team that is transforming healthcare through data and AI.

ABOUT WAYSTAR

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar’s healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.

Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar on Twitter.