Senior Data Engineer: GCP BigQuery & Data Pipelines

Waystar; Duluth (GA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Base salary + bonus

Benefits package

Paid time off

Parental leave

Education assistance

Mental health programs

401K with company match

Pet insurance

Employee resource groups

Job summary

Waystar seeks a Senior Data Engineer to join the Business Data & Architecture team on Google Cloud Platform. Design, build, and optimize scalable data solutions for analytics, governance, and AI initiatives across the enterprise.

You will work on ingestion, modeling, quality, and observability, delivering trusted data products to enable business decision-making and enterprise reporting.

Qualifications

• 5+ years of experience in Data Engineering or 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

Responsibilities

• 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
• Design and implement scalable data models supporting BI, analytics, and operational reporting
• Partner with analysts and product owners to translate requirements into technical solutions
• Develop reusable datasets and metrics aligned with enterprise standards
• Support semantic modeling and reporting initiatives across business domains
• Contribute to standardization of enterprise metrics and reporting assets
• Collaborate with engineers and stakeholders across domains
• Participate in technical design reviews and peer code reviews
• Contribute to documentation and knowledge sharing

Skills

GCP

BigQuery

dbt / dbt Cloud

Fivetran

Python

SQL

GitHub

Cloud Composer

Cloud Functions

REST APIs & Data Integration

CI/CD Pipelines

Education

Bachelor's degree in Computer Science

Tools

Terraform

Dataplex

Knowledge Catalog

Cloud Run

Snowflake

Azure Data Factory

Job description

Waystar seeks a Senior Data Engineer to join the Business Data & Architecture team on Google Cloud Platform. Design, build, and optimize scalable data solutions for analytics, governance, and AI initiatives across the enterprise.

You will work on ingestion, modeling, quality, and observability, delivering trusted data products to enable business decision-making and enterprise reporting.