Senior Data Engineer: Cloud Data Pipelines & Streaming

Goldman Sachs, Inc.; Richardson (TX); On-site; USD 130,000 - 180,000; Full time

Job summary

Goldman Sachs in Richardson, TX seeks a data engineer to expand and optimize cloud-based data pipelines and to build robust data pipelines and reporting tools. This role focuses on scalable data processing and contributing to analytics across our wealth management and trading platforms.

The ideal candidate brings 3+ years of data engineering experience, strong Python/Scala/Java skills, and a solid grasp of data modeling and ETL design in a fast-paced financial environment.

Qualifications

• 3+ years of experience in data processing and software engineering.
• Experience with distributed data technologies (Hadoop, MapReduce, Spark, EMR).
• Strong software engineering skills in Python, Scala, Java.
• Strong understanding of data architecture, modeling, and infrastructure.
• Experience building ETL pipelines.
• Experience with SQL and query optimization.
• Willingness to work in a fast-paced environment.
• MS/BS in Computer Science or related field.

Responsibilities

• Expand and optimize cloud-based data pipeline architecture.
• Build robust data pipelines and reporting tools.

Skills

Data processing, software engineering

Distributed data technologies (Hadoop,

Python/Scala/Java

Data architecture & modeling

ETL pipelines

SQL & query optimization

Education

MS/BS in Computer Science or related

Job description

Goldman Sachs in Richardson, TX seeks a data engineer to expand and optimize cloud-based data pipelines and to build robust data pipelines and reporting tools. This role focuses on scalable data processing and contributing to analytics across our wealth management and trading platforms.

The ideal candidate brings 3+ years of data engineering experience, strong Python/Scala/Java skills, and a solid grasp of data modeling and ETL design in a fast-paced financial environment.