Data Engineer — Real-Time Analytics Platform (On-Site)

Charles Schwab Corporation; Southlake (TX); Sur place; USD 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Bonus potential

Résumé du poste

Charles Schwab Corporation seeks a senior data engineer to help build the next-gen data and analytics platform for Client Analytics. You will collaborate with data engineering and analytics teams to design, deploy data assets, and support data scientists, while mentoring junior engineers and upholding compliance and standards.

The role emphasizes real-time data pipelines, cloud technologies, and agile delivery, with on-site collaboration in Texas.

Qualifications

• 5+ years translating requirements into dimensional data models with Erwin.
• 5+ years of complex SQL and performance tuning.
• GCP expertise and data engineering fundamentals.
• 3+ years building near real-time data pipelines with cloud tech like BigQuery, Airflow.
• 3+ years on agile teams delivering data solutions.
• 1+ years working with omni-channel customer data and downstream partners.
• Strong communication and problem-solving in distributed systems.

Responsabilités

• Collaborate with business partners to define data requirements and design dimensional models.
• Capture, model, and document enterprise data views at multiple abstraction levels.
• Design and maintain data services and real-time pipelines using current tech.
• Partner with platform architects to meet published principles and standards.
• Mentor team members and promote agile practices to improve delivery.

Connaissances

Erwin data modeling

SQL performance tuning

GCP

BigQuery

Airflow

Java

Python

.Net

Data governance

Data quality

Formation

Bachelor’s degree in Computer Science or Data Engineering or Analytics

Outils

Informatica IDMC

Description du poste

Charles Schwab Corporation seeks a senior data engineer to help build the next-gen data and analytics platform for Client Analytics. You will collaborate with data engineering and analytics teams to design, deploy data assets, and support data scientists, while mentoring junior engineers and upholding compliance and standards.

The role emphasizes real-time data pipelines, cloud technologies, and agile delivery, with on-site collaboration in Texas.