Senior Data Engineer — GCP & BigQuery Expert

Waystar

Lehi (UT)

On-site

USD 140,000 - 170,000

Full time

4 hours ago
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Benefits offered by this job

Health benefits
Paid time off
Parental leave
Education assistance
401(k) match

Job summary

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.

Qualifications

  • 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.

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 for enterprise reporting and self‑service analytics.

Skills

Data Engineering
GCP
BigQuery
ELT
Python
SQL

Education

Bachelor's degree in CS/IS/Data Eng

Tools

Airflow/Cloud Composer
GitHub
CI/CD

Job description

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.

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