State Street
financial services
DataScientistandETLDeveloper,Analyst/Manager-Officer
Neural analysis suggests this role is
optimal for Officer candidates.
“Data Scientist and ETL Developer, Analyst/Manager - Officer at State Street. Skills: Data Scientist, ETL Developer, Data Integration, Data Pipelines, Python, Snowflake. implement robust data integration and analytics pipelines. develop and maintain ingestion, transformation, validation, and publishing workflows”
What You'll Achieve.
implement robust data integration and analytics pipelines that power State Street’s risk analytics and reporting products; deliver timely, high‑quality outputs to downstream risk, regulatory, and management reporting platforms; improve reliability of existing pipelines; support migrations from legacy implementations to target-state architectures; support model-ready data preparation; ensure environment configuration and dependency readiness; address defects and performance issues; Implement reconciliation, validation, and auditability controls aligned to internal policies and external regulations for risk data
Industry & Context.
make data driven decisions
periodic evening overlap to support EMEA/NA, occasional travel may be required for workshops or go‑lives
What They're Looking For.
Must Have
Hands-on ETL/ELT using Pervasive (Actian DataConnect) or equivalent mapping, Hands-on Python development, Operate file-based ingestion using ROSCO/Filewatcher, Working knowledge of publishing risk data into SSCD/Snowflake data marts, 3+ years total experience in data integration / data engineering / analytics engineering, at least 1+ years building and operating production data pipelines, Demonstrated ability to deliver independently on assigned work items, experience collaborating in Agile delivery teams
Nice to Have
IBM DataStage and/or Talend for ETL, Airflow for orchestration, Kafka or IBM MQ messaging, Databricks/Snowflake data engineering experience under enterprise standards, Python/Scala for data processing and automation, including test harnesses and DQ validations, Familiarity with enterprise SDLC/governance and operational control expectations in financial services, advanced degree is a plus
What You'll Do.
implement robust data integration and analytics pipelines
develop and maintain ingestion
and publishing workflows
onboard client and vendor data sources
standardize data to enterprise data models
high‑quality outputs to downstream risk
and management reporting platforms
modernize data movements (batch and event-driven patterns)
improve reliability of existing pipelines
support migrations from legacy implementations to target-state architectures
Build and enhance data integrations
and publishing processes
Develop and maintain ETL/ELT workflows
Implement and maintain production-grade pipelines
Support model-ready data preparation
Curate training/inference datasets and feature support repeatable scoring and monitoring patterns
Testing and release support
Production reliability
participate in incident triage and root-cause address defects and performance issues
Data quality & controls
Implement reconciliation
and auditability controls
Documentation & knowledge transfer
Maintain technical specifications
provide knowledge transfer to global support teams
How You'll Work.
Team & Collaboration
partner closely with senior leads (AVP/VP) and peer engineers; collaborate with product managers, operations, and engineering leads; experience collaborating in Agile delivery teams; partner closely with senior leads; collaborate with product managers, operations, and engineering leads; provide knowledge transfer to global support teams
Communication Scope
provide knowledge transfer to global support teams
Process & Methodology
Demonstrated ability to deliver independently on assigned work items
Full Job Description
**Who we are looking for** We are recruiting an Officer-level Data Scientist and ETL Developer to implement robust data integration and analytics pipelines that power State Street’s risk analytics and reporting products. The role is primarily hands-on: you will develop and maintain ingestion, transformation, validation, and publishing workflows used to onboard client and vendor data sources, standardize them to enterprise data models, and deliver timely, high‑quality outputs to downstream risk, regulatory, and management reporting platforms. You will partner closely with senior leads (AVP/VP) and peer engineers to translate requirements into reliable production workflows and continuously improve controls, observability, and automation. Function This role sits within Risk Services and supports the execution of the risk data integration roadmap. You will collaborate with product managers, operations, and engineering leads to modernize data movements (batch and event-driven patterns), improve reliability of existing pipelines, and support migrations from legacy implementations to target-state architectures while adhering to regulatory and control requirements. **What you will be responsible for** **• Build and enhance data integrations:** Develop ingestion, mapping, validation, and publishing processes to onboard client and market data from multiple custodians and vendors into standardized schemas supporting risk analytics and reporting. **• Develop and maintain ETL/ELT workflows:** Implement and maintain production-grade pipelines (primarily batch, with some event-driven components), including transformation logic, data quality rules, lineage, and exception handling. **• Support model-ready data preparation:** Work with data science partners to curate training/inference datasets and feature pipelines; support repeatable scoring and monitoring patterns where applicable. **• Testing and release support:** Create/execute test plans for pipeline changes, support CI/CD and
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