Senior Data Engineer — GCP & BigQuery Expert

Waystar; Lehi (UT); Presencial; USD 140 000 - 170 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health benefits

Paid time off

Parental leave

Education assistance

401(k) match

Resumo da oferta

Waystar is seeking a Senior Data Engineer to advance our enterprise Data Modernization Program on Google Cloud Platform. You will design, build, and optimize scalable data solutions spanning ingestion, transformation, governance, and analytics for enterprise reporting and AI initiatives.

The role emphasizes hands‑on engineering across the data lifecycle, with a focus on ELT pipelines, data modeling, observability, and platform automation within a structured data governance framework.

Qualificações

• 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.

Responsabilidades

• 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 for enterprise reporting and self‑service analytics.

Conhecimentos

Data Engineering

GCP

BigQuery

ELT

Python

SQL

Formação académica

Bachelor's degree in CS/IS/Data Eng

Ferramentas

Airflow/Cloud Composer

GitHub

CI/CD

Descrição da oferta de emprego

Waystar is seeking a Senior Data Engineer to advance our enterprise Data Modernization Program on Google Cloud Platform. You will design, build, and optimize scalable data solutions spanning ingestion, transformation, governance, and analytics for enterprise reporting and AI initiatives.

The role emphasizes hands‑on engineering across the data lifecycle, with a focus on ELT pipelines, data modeling, observability, and platform automation within a structured data governance framework.