Data Platform Engineer — Pipelines, Quality & Scale

Goldman Sachs Bank AG; Dallas, Northern (TX, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

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

You will collaborate with engineers and data consumers, contribute to shared tooling, and help establish platform standards while solving practical delivery problems in a

Qualifications

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

Responsibilities

• Build, test and support batch and streaming data pipelines on the Lakehouse and AI data platform.
• Refactor or modernise data flows to improve reliability, performance and maintainability.
• Contribute to reusable tooling to improve delivery and operational support.
• Ensure data pipelines are production-ready and well tested.

Skills

Python

Java

SQL

Version control

Testing

CI/CD practices

Data engineering mindset

Education

Bachelor's or master's degree in a relevant discipline

Tools

Apache Spark

Snowflake

Databricks

Kafka

JSON

Avro

Parquet

Job description

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

You will collaborate with engineers and data consumers, contribute to shared tooling, and help establish platform standards while solving practical delivery problems in a