ABOUT THIS POSITION
Waystar, the leading Healthcare Revenue Cycle Management (RCM) technology company, is seeking an expert-level Specialist Data Engineer to join our Data Architecture team. In this advanced role, you will own the design, optimization, and governance of complex data pipelines and infrastructure that power data-driven products and analytics used by clients and internal stakeholders. You’ll serve as a subject matter expert (SME) in cloud data architecture, data product engineering, and performance tuning, while ensuring solutions align with enterprise data strategy. You will work with highly complex healthcare datasets across multiple platforms (Snowflake, BigQuery, SQL Server, Postgres) and contribute to the architectural evolution of Waystar’s data ecosystem. This role is ideal for a senior engineer with specialist-level depth in data modeling, performance engineering, ML Ops, and cloud data platform optimization.
The ideal candidate will have a deep understanding of healthcare data and RCM processes, with strong technical expertise and the ability to collaborate across data, product, and business teams. You will also play a key role in implementing ML Ops practices to operationalize machine learning models and drive continuous improvement. As a senior member of the team, you will provide mentorship to junior engineers, set best practices, and demonstrate thought leadership by influencing technical decisions and guiding the evolution of our data infrastructure to support future growth
WHAT YOU'LL DO
1. Data Architecture and Engineering
· Design and implement scalable, high-performance data pipelines using Snowflake and Google BigQuery to enable actionable insights.
· Develop and maintain ETL/ELT processes to ingest, transform, and store structured and unstructured data, ensuring data accuracy and timeliness.
· Optimize data pipelines for performance, scalability, and cost efficiency, driving faster insights and customer value.
· Build data infrastructure to support real-time and batch processing use cases.
· Establish and enforce data quality standards and monitoring to ensure consistency and accuracy.
· Monitor and troubleshoot data pipeline performance issues and implement proactive improvements.
· Recognized SME in at least one area of cloud-based data engineering (e.g., BigQuery performance optimization, advanced Snowflake design patterns, ML Ops infrastructure).
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2. Data Modeling and Integration
· Design and implement data models to support healthcare revenue cycle workflows and customer reporting requirements.
· 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 self-service analytics and business intelligence.
· Implement data partitioning, indexing, and clustering strategies to improve query performance.
3. ML Ops and Machine Learning Pipeline Support
· Collaborate with Data Scientists to operationalize machine learning models and ensure smooth deployment and monitoring in production.
· Build and maintain feature stores and data sets used for machine learning models.
· Implement ML Ops best practices, including model versioning, retraining, and monitoring for drift and performance degradation.
· Ensure that ML models are delivering measurable business outcomes and value to customers.
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., faster claim processing, improved payment accuracy).
· 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.
7. 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.
· 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.
WHAT YOU'LL NEED
Required:
· Bachelor's or Master’s degree in Computer Science, Data Engineering, or comparable experience.
· 8-10 years of experience in data engineering with emphasis on cloud platforms.
· Experience working with relational databases such as SQL Server and Postgres.
· Proven experience designing and implementing large-scale data pipelines with a bias toward value delivery and speed.
· Strong understanding of data warehousing, data lakes, and modern data architectures.
· Experience with data modeling (star schema, snowflake schema) and query optimization.
· Experience with ML Ops or machine learning pipeline deployment.
· Experience to mentoring junior engineers and leading technical projects.
· Demonstrated business-focused mindset with a strong drive to deliver value and measurable outcomes.
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 machine learning models and infrastructure in a production environment.
· 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.
· Make a direct impact on healthcare outcomes by improving payment accuracy and reducing claim denials.
· 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.
WAYSTAR PERKS
- Competitive total rewards (base salary + bonus, if applicable)
- Customizable benefits package (3 medical plans with Health Saving Account company match)
- We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
- Paid parental leave (including maternity + paternity leave)
- Education assistance opportunities and free LinkedIn Learning access
- Free mental health and family planning programs, including adoption assistance and fertility support
- 401(K) program with company match
- Pet insurance
- Employee resource groups
Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Top Skills
What We Do
Waystar provides market-leading technology that simplifies and unifies healthcare payments. Our cloud-based platform streamlines workflows and improves financials for healthcare providers of all kinds, and brings more transparency to the patient financial experience.
The Waystar platform is used by more than 450k providers, 750 health systems and hospitals, and 5k health plans—and integrates with all major HIS and practice management systems.
The financial and administrative challenges facing healthcare providers are daunting. Waystar’s technology platform simplifies and unifies healthcare payments across the revenue cycle. We empower healthcare organizations to automate manual work, gain insight into processes and performance, and ultimately collect more revenue.
At Waystar, we know there’s a better, more efficient way forward. Let’s climb the mountain ahead of us to reach new heights in healthcare.
