Data Engineer - Cloud & Analytics, Officer - State Street Investment Management
About The Position
State Street Investment Management’s Data, Analytics & AI Services team is seeking an Officer-level Senior Data Engineer (Cloud & Analytics) for its Boston office. The role designs, builds, and supports modern cloud-based data engineering solutions that enable analytics, reporting, and AI use cases for the Client Coverage Group and Chief Business Office, supporting Sales and Business teams. It is a senior individual-contributor role requiring ownership of technical components, independent execution, and close collaboration with cross-functional stakeholders. The engineer will build and support end-to-end data pipelines and system integrations, develop scalable ingestion, transformation, and validation frameworks, and improve pipeline performance, reliability, and data quality. The role supports production stability and incident resolution, participates in architecture and design reviews, follows Agile delivery practices, and ensures adherence to data security, governance, and SDLC standards. AI code-generation tools and AI technologies are used to accelerate development and support structured and unstructured data workflows.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 6–10 years of overall IT experience, with a strong focus on data engineering.
- At least 4 years of hands-on experience building data pipelines on cloud platforms.
- Proven experience as a senior data engineer or ETL expert working on complex technical problems.
- Proficiency designing, developing, and supporting AWS-based data pipelines and cloud architectures, including AWS S3, Redshift, EC2, IAM, Apache Airflow, YAML, and Shell scripting.
- Solid AWS cloud experience, including S3, IAM, and cloud-based data architectures.
- Strong Python and SQL skills for data engineering, automation, analysis, validation, and performance tuning.
- Experience writing and maintaining Shell scripts for automation and operational support.
- Experience working with unstructured data, such as sales notes, 13F filings, news, and social media.
- Good understanding of data warehousing, data lakes, and data quality concepts.
- Ability to independently analyze requirements and deliver technical solutions.
- Excellent communication and leadership skills, including the ability to work with stakeholders.
- Prior experience with Agile project management practices.
Nice To Haves
- Hands-on experience with Databricks and Snowflake.
- Experience with the Salesforce ecosystem, including its data model and API-based integration patterns.
- Exposure to financial services, asset management, sales, or marketing.
- Exposure to Git, Bitbucket, and CI/CD processes for deployment and releases.
- Knowledge of networking fundamentals and key management services.
- Understanding or hands-on experience applying AI and machine learning in data engineering and data quality.
Responsibilities
- Design, develop, and support end-to-end data pipelines using AWS, Redshift, Databricks, and Snowflake.
- Implement and maintain enterprise system-to-system integrations using APIs, event-based patterns, and secure authentication.
- Build scalable data ingestion, transformation, and validation frameworks using Python, SQL, and Shell scripting.
- Optimize data pipelines for performance, reliability, and data quality.
- Partner with product owners, analytics teams, and downstream consumers to translate business requirements into technical solutions.
- Support production stability, incident resolution, major incident management, and root-cause analysis for data platforms.
- Participate in architecture discussions, design reviews, and technical walkthroughs.
- Follow Agile delivery practices, including sprint planning, estimation, and JIRA issue tracking.
- Ensure compliance with data security, governance, and SDLC standards.
- Apply AI code-generation tools, including Anthropic Code, Codex, and GitHub Copilot, to accelerate development and improve quality and productivity.
- Contribute to structured and unstructured data workflows using AI technologies.
- Identify opportunities to improve efficiency, automation, and platform capability.
- Analyze business requirements and translate them into technical specifications.
Benefits
- 401(k) retirement savings plan with company match.
- Insurance coverage, including basic life, medical, dental, vision, and long-term disability, with optional additional coverages.
- Paid time off, including vacation, sick leave, short-term disability, and family-care responsibilities.
- Access to an Employee Assistance Program.
- Eligibility for annual performance-based incentive awards, with exceptions for certain sales roles.
- Eligibility for certain tax-advantaged savings plans.
- Inclusive development opportunities.
- Flexible work-life support.
- Paid volunteer days.
- Employee networks.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
