Support the accurate, timely and compliant management of data from clinical and cosmetic studies, including data capture, cleaning, quality control and delivery of analysis-ready datasets.
Responsibilities
Support data-management activities for assigned clinical and cosmetic studies
Assist with preparation, review and maintenance of case report forms (CRFs/eCRFs)
Perform electronic data capture, data entry review, medical-data coding, plausibility checks, edit checks and data-quality checks
Identify data discrepancies, prepare and follow up data queries
Support database testing, user acceptance testing (UAT) and verification of study-specific forms, checks and reports
Requirements
Bachelor’s degree in Data or Information Management, Biology, Mathematics, or a related field
Senior ETL / Informatica IDMC Engineer with 7+ years of experience in data integration and ETL development, responsible for designing, developing, testing, and maintaining ETL/data integration solutions using Informatica IDMC, Teradata, SQL, and basic Python scripts in a banking/data environment.
Compensation
Salary Range: $35.00 - $37.00/Hour on W2 (Without Benefits).
Responsibilities
Design, develop, test, and maintain ETL/data integration solutions using Informatica IDMC
Develop and maintain mappings, mapplets, workflows, and data integration processes
Work extensively with Teradata for data extraction, transformation, loading, and validation
Write and optimize SQL queries for data analysis, reconciliation, and troubleshooting
Perform data validation, reconciliation, and root-cause analysis for ETL/data quality issues
Requirements
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent professional experience
Nice to have: knowledge of banking data, transactions, accounts, customers, payments, or regulatory data
Nice to have: experience with data warehouse and enterprise data platforms
Nice to have: experience with ETL production support and incident management
Nice to have: knowledge of cloud-based data integration and modern data platforms
Design and defend enterprise solution architectures, integrating business analysis with technical design across application, data, integration, security and infrastructure layers.
Responsibilities
Own end-to-end solution design across application, data, integration, security and infrastructure layers
Produce architecture documents, data flow diagrams, sequence diagrams, and integration and API specifications
Select architecture patterns and justify choices, including trade-offs, cost and risk
Review designs from developers, vendors and infrastructure teams, challenge feasibility, scalability, performance, security and supportability
Review integration approaches and test against failure scenarios, volumes and dependencies
Design and build public-facing APIs for Wise Platform and partners, own technical roadmaps, architect microservices, influence product strategy, mentor engineers.
Compensation
Starting salary: £111,000 - £145,000 + RSUs
Responsibilities
Design and build public-facing APIs
Own and drive technical roadmaps
Architect highly robust and scalable microservices
Key influencer in product roadmapping and strategy
Lead impactful problems and cross-team initiatives
Lead design, implementation, and scaling of backend microservices, database schemas, and advanced frontend infrastructures for a modern AI-native platform.
Responsibilities
Lead end-to-end design and implementation of scalable backend microservices, database schemas, and advanced frontend infrastructures.
Drive system architecture decisions, ensuring high performance, security, and reliability across AWS cloud environments.
Write clean, maintainable, and high-performing code across both backend (Python) and frontend (React, TypeScript) stacks.
Utilize AI-assisted development workflows to accelerate delivery while maintaining high standards of code quality, testing, and architecture.
Partner closely with product managers, data analysts, architects, and QA engineers to deliver complex, cross-company initiatives.
Architect cloud-native AI applications, integrating LLMs, vector search, and real-time data. Design end-to-end web solutions from frontend to backend. Implement RAG pipelines, model serving, and AI agents in production. Lead cross-functional teams. Build and maintain backend services in Python and integrate them with React (or Angular) frontends. Translate business requirements into scalable technical solutions. Ensure quality through testing, CI/CD, and cloud-native best practices.
