Data Engineer, Officer - State Street Investment Management

Who we are looking for 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. Why this role is important to us 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. What you will be responsible for These skills will help you succeed in this role 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 Hands-on experience with Databricks, Snowflake on AWS (Azure acceptable) 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. Prior experience on working in Agile project management practices 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. Excellent verbal and written communication and should be able to work with all the stakeholders. Required Qualifications 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). Preferred Qualifications 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. Salary Range: $70,000 - $118,750 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our 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 (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. 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