Who we are looking forState 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.
What you will be responsible forThese 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 https://hrportal.ehr.com/statestreet/Home.
