Lakehouse & AI Data Platform Engineer (Associate)

Goldman Sachs; Dallas (TX); On-site; USD 120,000 - 170,000; Full time

Job summary

Goldman Sachs is seeking a Data Engineer to design, build, test and support data pipelines on the firm’s Lakehouse and AI data platform. You will work across ingestion, transformation, modelling, optimisation and data quality, helping deliver reliable, scalable data products.

The role suits engineers comfortable with code, SQL and distributed processing, with opportunities to contribute to platform tooling and standards while collaborating with a wide range of stakeholders across the firm.

Qualifications

• Bachelor’s or Master’s degree in a relevant discipline or equivalent practical experience.
• Strong programming experience in Python or Java and solid SQL skills.
• Experience with distributed data processing and modern data platforms.

Responsibilities

• Build, test and support data pipelines on the Lakehouse and AI data platform.
• Develop raw, refined and curated datasets for analytics and AI use cases.
• Implement data quality controls and reconciliation to ensure production reliability.
• Collaborate with engineers and data consumers to deliver reliable data products.

Skills

Python

Java

SQL

Distributed data processing

Data platform tooling

Education

Bachelor’s or Master’s degree in a relevant discipline

Tools

Apache Spark

Snowflake

Databricks

Kafka

CI/CD tooling

Job description

Goldman Sachs is seeking a Data Engineer to design, build, test and support data pipelines on the firm’s Lakehouse and AI data platform. You will work across ingestion, transformation, modelling, optimisation and data quality, helping deliver reliable, scalable data products.

The role suits engineers comfortable with code, SQL and distributed processing, with opportunities to contribute to platform tooling and standards while collaborating with a wide range of stakeholders across the firm.