Data Engineer - Cloud & Analytics, Officer - State Street Investment Management
Core
Designing and building modern cloud-based data engineering solutions to enable analytics, reporting, and AI use cases for Sales and Business teams.
Role type
Senior IC Data Engineer (Cloud & Analytics)
Builds
End-to-end data pipelines, enterprise system integrations, and scalable data platforms on AWS.
Domain
Financial services / Cloud Data Engineering
Required skills
AWS (S3, Redshift, EC2, IAM), Python, SQL, Shell scripting, Apache Airflow, YAML, Data Warehousing, Data Lakes, Data Quality, Unstructured data processing, API integration, Incident management, Agile delivery, AI code generation tools.
Preferred skills
Databricks, Snowflake, Salesforce ecosystem, Financial/asset management domain knowledge, Git/Bitbucket, CI/CD, Networking fundamentals, AI/ML application in data engineering.
Technologies
AWS, Redshift, Databricks, Snowflake, Python, SQL, Shell, Apache Airflow, YAML, JIRA, Anthropic Code, Codex, GitHub Copilot, S3, EC2, IAM, Salesforce, Git, Bitbucket.
Responsibilities
Design, develop, and support end-to-end data pipelines; Implement and maintain enterprise system-to-system integrations; Build scalable data ingestion, transformation, and validation frameworks; Develop and optimize data pipelines for performance and reliability; Partner with stakeholders to translate business requirements into technical solutions; Support production stability and incident resolution; Participate in architecture discussions and design reviews; Apply AI code generation tools to accelerate development.
Seniority
Senior, hands-on IC
