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Platform Solutions - Dallas - Associate, Software Engineering

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: The Goldman Sachs Group
Full Time position
Listed on 2026-06-30
Job specializations:
  • Software Development
    Data Engineering, SQL Developer
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: Platform Solutions - Dallas - Associate, Software Engineering - 4208762

Job Duties

Associate, Software Engineering with Goldman Sachs Bank USA in Dallas, Texas. Perform detailed technical design and development of data intensive capabilities using existing and emerging technologies. Using modern technologies centered on data and analytics, ensure that the Firm provides clients with powerful tools to improve cash flow management efficiency. Develop, test, rollout, and support data platform features and contribute to the vision, roadmap, and world‑class engineering culture while integrating business value and client experience.

Develop big data capabilities in support of the business. Act as subject‑matter expert for Snowflake Data Warehouse and responsible for data and entitlement modeling and ingestion and data derivation using extract, transform, load (ETL) solutions such as Apache Airflow and Apache Spark. Build completeness and accuracy checks on various datasets prior to firm‑wide data store ingestion to adhere to the firm’s compliance policy.

Work on streaming data processing and perform data tooling to enable self‑service capabilities of the Corporate Cash Management (CCM) Business Intelligence platform. Build and leverage AWS XRay, Cloud Watch, and Datadog metrics to monitor production applications. Support data federation with internal Operations, Compliance, and accounting teams using the Firm's proprietary programming languages, platforms, and models. Provide global production support for critical applications for TxB Data Platform.

Mentor junior engineers and help expand the engineering team by interviewing, recruiting, and hiring new engineers.

Job Requirements

Master's degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, or a related field and three (3) years of experience in a job offered or a related software engineering role OR Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, or a related field and five (5) years of experience in a job offered or a related software engineering role.

Prior experience must include three (3) years with a Master's OR five (5) years with a Bachelor's with the following: building systems using Object Oriented Programming languages; implementing control‑driven Software Development Lifecycle (SDLC) using Git Hub or Git Lab, CI/CD principles, and automation pipelines; utilizing programming skills to analyze, design, develop, and support enterprise application development utilizing:
Python, Java, Spring Boot, and Apache Kafka; architecting, designing, administering, or developing safe, resilient, and highly available distributed services in Amazon Web Services; designing data models for enterprise applications, managing data, and writing advanced complex queries against relational databases including aggregation, multi‑row sub‑queries and views; building scalable Application Programming Interface (APIs) using Spring boot, REST services, GraphQL; delivering extract, transform, load (ETL), development of database objects, SQL queries, and data analytic capabilities in relational database platform;

and designing and developing solutions with modern data warehousing technologies such as Snowflake Data Warehouse, Cassandra, Oracle, or Postgres. Prior experience must include two (2) years with the following: distributed systems development; utilizing high‑throughput low‑latency messaging platforms for building scalable data pipelines like Kafka; building highly scalable and robust applications for transaction banking data consumption and ingestion; building ETL processes using Airflow, Flink, or Spark;

building observability features using services such as AWS Cloud Watch or Datadog; and documenting functional architecture and diagrams based on business requirements.

The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

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Position Requirements
10+ Years work experience
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