ABOUT THIS POSITION

Waystar is seeking a highly skilled Senior Data Engineer to join our Business Data & Architecture team and help advance our enterprise Data Modernization Program on Google Cloud Platform (GCP).

This is a senior individual contributor role focused on designing, building, and optimizing scalable data solutions that enable analytics, reporting, governance, and AI initiatives across the enterprise. The ideal candidate is a hands-on engineer with deep technical expertise in cloud data platforms, data modeling, ELT development, and modern engineering practices.

You will work across the full data lifecycle, from data ingestion and transformation to orchestration, quality, observability, and governance, helping deliver trusted and scalable data products that support business decision-making.

WHAT YOU'LL DO

Data Pipeline Development & Optimization

Design, build, and maintain scalable ELT pipelines into BigQuery using Fivetran, APIs, Python, and cloud-native services

Develop and optimize bronze, silver, and gold data layers following Medallion Architecture principles

Create and maintain reusable dbt models that support enterprise reporting, analytics, and self-service use cases

Design and implement scalable ingestion patterns for structured and semi-structured data

Troubleshoot and resolve complex data pipeline, transformation, and performance issues

Improve pipeline reliability, performance, scalability, and maintainability

Data Modeling & Analytics Enablement

Design and implement scalable data models supporting business intelligence, analytics, and operational reporting

Partner with business analysts, product owners, and stakeholders to understand and translate requirements into technical solutions

Develop reusable business-focused datasets and metrics aligned with enterprise standards

Support semantic modeling and reporting initiatives across business domains

Contribute to the standardization of enterprise metrics and reporting assets

Data Quality, Observability & Reliability

Implement automated data validation, testing, and data quality checks

Develop monitoring, alerting, and observability capabilities across the data platform

Investigate and resolve data anomalies, processing issues, and performance bottlenecks

Support operational excellence through logging, incident analysis, and root cause investigations

Ensure data consistency, accuracy, and reliability across ingestion and transformation processes

Platform Engineering & Automation

Develop and maintain orchestration workflows using Cloud Composer (Managed Airflow)

Contribute to CI/CD pipelines using GitHub and modern deployment practices

Support Infrastructure-as-Code initiatives using Terraform and platform automation tools

Improve engineering efficiency through automation, reusable components, and standard development patterns

Participate in platform optimization and modernization initiatives

Data Governance & Security

Support data classification, lineage, metadata management, and governance initiatives

Implement secure access controls and data protection practices aligned with enterprise standards

Partner with Data Governance teams to improve data discoverability and trust

Ensure compliance with regulatory, privacy, and security requirements

Contribute to documentation and operational standards for enterprise data assets

Collaboration & Continuous Improvement

Collaborate with engineers, architects, analysts, and business stakeholders across multiple domains

Participate in technical design reviews and engineering discussions

Perform peer code reviews and support engineering quality standards

Contribute to documentation, knowledge sharing, and reusable engineering practices

Evaluate new technologies and recommend platform improvements where appropriate

WHAT YOU'LL NEED

Bachelor's degree in computer science, Information Systems, Data Engineering, or a related field

5+ years of experience in Data Engineering or a related technical discipline

Strong hands-on experience with Google Cloud Platform (GCP)

Advanced expertise in BigQuery

Strong experience with dbt and modern ELT development practices

Advanced SQL development and query optimization skills

Strong Python programming experience

Experience building scalable data pipelines and transformation frameworks

Experience working with APIs and data integration patterns

Experience with workflow orchestration tools such as Airflow or Cloud Composer

Experience with GitHub, source control, and CI/CD development practices

Strong understanding of dimensional modeling and analytics engineering concepts

Strong troubleshooting, problem-solving, and analytical skills

Excellent communication and collaboration skills

Preferred Qualifications

Experience supporting enterprise-scale data modernization programs

Experience migrating workloads from Snowflake, Azure, SQL Server, Teradata, or other platforms to BigQuery

Experience with Terraform and Infrastructure-as-Code practices

Familiarity with Google Dataplex, Knowledge Catalog, or metadata management solutions

Experience with Cloud Run, Cloud Functions, or serverless technologies

Experience implementing data quality, testing, and observability frameworks

Experience supporting healthcare, payments, or regulated industry environments

Familiarity with Data Mesh and domain-driven data ownership concepts

Experience supporting AI, machine learning, or advanced analytics initiatives

Competencies Overview

Cloud Data Engineering (GCP / BigQuery) - Advanced

ELT Pipeline Development - Advanced

Data Modeling & Analytics Engineering - Advanced

SQL & Query Optimization - Advanced

Python Development - Advanced

Data Quality & Observability - Advanced

Data Governance & Security - Strong

Problem Solving & Troubleshooting - Advanced

Collaboration & Stakeholder Partnership - Strong

Delivery Execution & Accountability - Strong

Skills Overview

Core Technologies

Google Cloud Platform (GCP)

BigQuery

dbt / dbt Cloud

Fivetran

Python

SQL

GitHub

Cloud Composer (Managed Airflow)

Cloud Functions

REST APIs and Data Integration Frameworks

CI/CD Pipelines

Preferred Technologies

Terraform

Dataplex

Knowledge Catalog

Cloud Run

Snowflake

Azure Data Factory (ADF)

Data Quality & Observability Platforms

Metadata Management Solutions

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 (https://twitter.com/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.

Job Category: Technology/Engineering

Job Type: Full time

Req ID: R3347

Waystar

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