Senior Data Engineer: Fraud Analytics & GCP Pipelines

Charles Schwab; Austin (TX); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

401(k) with company match

Paid time for vacation and volunteering

Tuition reimbursement

Health, dental, and vision insurance

Job summary

A leading financial services company is seeking a Senior Data Engineer to enhance their Global Data and Analytics team in Austin, Texas. This role involves designing and maintaining scalable data pipelines, coding in Python and SQL, and utilizing tools like BigQuery and Dataflow. The ideal candidate will have extensive experience in data engineering and a strong background in cloud computing. This position is on-site and comes with a competitive benefits package, including a 401(k) plan and paid time off.

Qualifications

• 8+ years of hands-on software and data engineering experience.
• 4+ years as a hands-on senior engineer in startups or large organizations.
• Deep practical experience with BigQuery and Dataflow.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Write high-performance Python and SQL code.
• Implement complex data models in BigQuery.

Skills

Python

SQL

Data Modeling

Apache Airflow

GCP

Data Quality Engineering

Incident Resolution

Mentorship

Education

Bachelor’s degree in Computer Science or related field

Tools

BigQuery

Dataflow

Terraform

Docker

Kubernetes

Job description

A leading financial services company is seeking a Senior Data Engineer to enhance their Global Data and Analytics team in Austin, Texas. This role involves designing and maintaining scalable data pipelines, coding in Python and SQL, and utilizing tools like BigQuery and Dataflow. The ideal candidate will have extensive experience in data engineering and a strong background in cloud computing. This position is on-site and comes with a competitive benefits package, including a 401(k) plan and paid time off.