Data Engineer, Officer - State Street Investment Management
About The Position
State Street Investment Management’s Data, Analytics & AI Services (DAAIS) team is looking for a Data Engineer - Officer to be part of the architecture, engineering execution, modernization strategy, and technology roadmap supporting the investment management business. The successful candidate will bring hands-on development expertise in large-scale data platform architecture, distributed computing, data pipeline engineering, and modern cloud architecture. The team you will be joining is a part of State Street Investment Management, one of the largest asset managers in the world. We partner with many of the world’s largest, most sophisticated investors and financial intermediaries to help them reach their goals through a rigorous, research-driven investment process. With over four decades of experience and trillions of dollars in assets under management, we offer one of the broadest selections of services across asset classes, risk profiles, regions and styles. As pioneers in index, ETF, and ESG investing, we are always inventing new ways to invest. Join us if making your mark in the asset management industry from day one is a challenge you are up for.
Requirements
- Master’s degree in Computer Science or a related engineering discipline.
- 6-10 years of technology experience with Data Engineeting focus
- Strong hands-on in Python, Spark, SQL, Databricks and Snowflake, with the ability to design, debug, and optimize distributed data processing;
- Experience building Lakehouse platforms using Snowflake and Databricks on AWS (Azure acceptable), supporting high concurrency analytical workloads.
- Proficiency in data engineering and automation
- 5+ years of hands‑on experience building data pipelines on cloud platforms
- Some experience working on modern Data Platform Architecture, Lakehouse, Data Products, and cloud-native analytics ecosystems.
- Good understanding of Data Warehousing, Data Lakes, and Data Quality concepts
- Experience working with both unstructured data sources and processing patterns
- Exposure with GIT, CI/CD Process for Deployment and Releases.
- Strong operational and engineering excellence mindset, with experience establishing SDLC standards, CI/CD, observability, reliability engineering, incident management, and continuous improvement practices for mission-critical platforms.
- Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Codex, Anthropic tools).
- Excellent verbal and written communication and should be able to work with all the stakeholders.
Nice To Haves
- Previous experience in data/platform development within a financial institution.
- Experience with both structured and unstructured data management tools and associated patterns
- Familiarity with modern governance frameworks (Unity Catalog, Collibra, Alation).
- Expertise in AI-assisted coding using GitHub Copilot or Claude Code Assistant.
Responsibilities
- Design, develop, test, and maintain data pipelines using Python, PySpark, and SQL.
- Design, build, and manage robust workflows and data ingestion, transformation solutions using Databricks and Snowflake
- Design and maintain CI/CD pipelines using tools such as Jenkins, Artifactory, GitHub.
- Develop containerized applications for APIs, event based, streaming and batch using Docker.
- Work under minimal supervision to analyze, design, develop, test, and debug
- Participate in cross-team group activities to complete assignments.
- Work with cross-functional teams and other engineers on the core platform capabilities
- Develop Iceberg, unity catalog based tables for consistent, performant analytical access across multiple compute engines.
- Partner with product owners, analytics teams, and downstream consumers to translate business requirements into technical solutions
- Apply AI code generation tools (e.g., Anthropic Code, Codex, and GitHub Copilot) to accelerate development, improve quality, and increase productivity.
Benefits
- retirement savings plan (401K) with company match
- insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
- paid-time off including vacation, sick leave, short term disability, and family care responsibilities
- access to our Employee Assistance Program
- incentive compensation including eligibility for annual performance-based awards
- eligibility for certain tax advantaged savings plans
- inclusive development opportunities
- flexible work-life support
- paid volunteer days
- vibrant employee networks
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
