5 days ago

Cloud Engineer Associate

Goldman Sachs

On Site
Full Time
$100,000
Dallas, TX
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Job Overview

Job TitleCloud Engineer Associate
Job TypeFull Time
Offered Salary$100,000
LocationDallas, TX

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Job Description

Cloud Engineer Associate - WM Data Engineering

Goldman Sachs Engineers are innovators and problem-solvers who thrive in fast-paced global environments. We are seeking a motivated Cloud Engineer to support the WM Data Engineering ecosystem. This role focuses on executing technical blueprints and transitioning legacy on-premises constraints into scalable, cloud-native solutions. You will work closely with senior architects to ensure data assets are migrated seamlessly, securely, and cost-effectively.

Key Responsibilities

Architecture & Design Implementation

  • Cloud-Native Development: Assist in building scalable data platforms using AWS services such as Amazon S3 (Data Lake), AWS Glue, Amazon Redshift, and Amazon Athena.
  • Pipeline Development: Develop and maintain automated ETL/ELT pipelines for batch and real-time processing using AWS Step Functions, Managed Workflows for Apache Airflow (MWAA), or AWS Lambda.
  • Modern Data Patterns: Implement Lakehouse architectural patterns to support high-performance analytics across business units.

Data Governance & Security

  • Compliance & Security: Apply internal security standards and adhere to financial regulations (e.g., GDPR, CCPA, SOC2). Implement IAM policies, data encryption (AWS KMS), and access controls via AWS Lake Formation.
  • Data Quality: Execute frameworks for automated data quality checks and maintain metadata management to ensure trusted reporting.

Cloud Optimization

  • Cost & Performance: Support cost-management initiatives using S3 Intelligent-Tiering and serverless scaling. Monitor pipeline throughput to meet Service Level Agreements (SLAs).
  • Infrastructure as Code (IaC): Utilize Terraform, AWS CDK, or CloudFormation for consistent infrastructure deployments.

Modernization

  • Migration Support: Contribute to the migration of on-premises data workloads to AWS.
  • AI/ML Readiness: Help build the data foundations required for predictive modeling and generative AI applications.

Qualifications

Technical Requirements

  • Experience: Approximately 5 years of experience in Data Engineering or Cloud Development, with a focus on distributed systems.
  • Technical Skills: Experience with modern data platforms like Snowflake and cloud-native AWS services. Understanding of open-source table formats, specifically Apache Iceberg. Proficiency in Java, Python, and SQL. Hands-on experience with Spark, Kafka, and orchestration tools like Apache Airflow, Dagster, or dbt.
  • Soft Skills: Strong problem-solving "builder" mindset and the ability to communicate technical concepts within a team environment.

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.

Key skills/competency

  • Cloud Engineering
  • AWS
  • Data Engineering
  • ETL/ELT
  • Apache Airflow
  • Python
  • SQL
  • Spark
  • Kafka
  • Snowflake

Tags:

Cloud Engineer
AWS
Data Engineering
ETL
ELT
Python
Java
SQL
Spark
Kafka
Snowflake
Apache Airflow
Associate
Goldman Sachs
Dallas

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How to Get Hired at Goldman Sachs

  • Tailor your resume: Highlight AWS, data engineering, Python, Java, SQL, and ETL/ELT experience.
  • Showcase cloud skills: Emphasize experience with Snowflake, Apache Iceberg, and Airflow.
  • Prepare for technical questions: Be ready to discuss distributed systems and data architecture.
  • Demonstrate problem-solving: Prepare examples of your 'builder' mindset and teamwork.
  • Research Goldman Sachs: Understand their commitment to innovation and financial services.

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