Data Platform Engineer – Production Pipelines

Goldman Sachs Bank AG

Texas

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Goldman Sachs is seeking a Software Engineer for the Data Platform team to design, build, test and support data pipelines and curated datasets on the firm’s modern data platform. You will work across ingestion, transformation, modelling, optimization and data quality to deliver reliable, scalable data products.

The role suits engineers comfortable with Python or Java, SQL, and distributed data processing. You will contribute to tooling, platform standards and delivery approaches, collaborating

Qualifications

  • Bachelor’s or Master’s degree in a relevant discipline, or equivalent practical experience.
  • Strong hands-on programming in Python or Java.
  • Good working knowledge of SQL, including troubleshooting, optimization and data analysis.
  • Ability to learn new tools, internal platforms and delivery workflows quickly.
  • Familiarity with software engineering fundamentals, including version control, testing, release discipline and CI/CD practices.

Responsibilities

  • Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform.
  • Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability.
  • Where needed, build reusable tooling to improve delivery, consistency and operational support.
  • Ensure data pipelines are production-ready, well tested and operationally supportable.

Skills

Python
Java
SQL
CI/CD practices
Version control
Apache Spark
Kafka
JSON

Education

Bachelor’s or Master’s degree

Tools

Snowflake
Databricks
Apache Iceberg
Kubernetes
Hadoop

Job description

Goldman Sachs is seeking a Software Engineer for the Data Platform team to design, build, test and support data pipelines and curated datasets on the firm’s modern data platform. You will work across ingestion, transformation, modelling, optimization and data quality to deliver reliable, scalable data products.

The role suits engineers comfortable with Python or Java, SQL, and distributed data processing. You will contribute to tooling, platform standards and delivery approaches, collaborating

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