The role involves monitoring and coordinating risk indicator campaigns, ensuring data integrity within the system, drafting reports, and creating dashboards for regulatory bodies and management.
Responsibilities
Monitoring and coordination of the monthly/quarterly/annual campaign for specific risk indicators
Compliance with deadlines for data entry and collaboration with business lines/risk perimeters
Data recovery, performing consistency checks, and identifying anomalies
Drafting recurring reports for CPLE Oversight teams in Paris
Creating ad hoc dashboards for regulatory bodies and comitology groups
Lead the design, development, and maintenance of scalable data pipelines and integration solutions on Snowflake and AWS for automotive, mobility, and financial services domains.
Responsibilities
Design, develop, and maintain scalable data pipelines and integration solutions using Snowflake and AWS
Build and optimize ETL/ELT processes to integrate data from multiple enterprise systems
Develop and maintain data models, schemas, and transformation logic within Snowflake
Implement data transformations, mappings, and business rules
Develop and optimize complex SQL queries and data processing workflows, ensuring performance, scalability, and cost efficiency
Support environmental data management efforts for Superfund investigations, sediment dredging projects, risk assessments, and related environmental programs.
Compensation
$60,906—$76,132 USD
Responsibilities
Participate in planning, coordination, and scheduling meetings for upcoming field sampling efforts.
Prepare sample documentation and electronic field deliverables using Scribe.
Coordinate with analytical laboratories to monitor project schedules and track data deliverables.
Notify project and task managers of data delivery delays or potential schedule impacts.
Review analytical laboratory data packages and electronic data deliverables for accuracy, completeness, and regulatory compliance.
Requirements
Bachelor's degree in Environmental Science, Chemistry, Geology, Environmental Engineering, or a related scientific discipline.
Nice to have: Experience with environmental data management systems such as EQuIS and Scribe
Nice to have: Proficiency with Microsoft Excel, Microsoft Access, and other Microsoft Office applications
Nice to have: Working knowledge of SQL Server, database development, or data query tools
Nice to have: Experience with GIS, statistics, data visualization, or technical programming (VB or similar)
Support the day‑to‑day implementation of a new large immunization program's monitoring, evaluation and learning system in Lomami Province, ensuring timely, high‑quality data collection, analysis and reporting to improve program implementation.
Responsibilities
Collect, consolidate and maintain programme monitoring data from supported Health Zones and Health Areas
Maintain project databases, indicator trackers, activity trackers and reporting tools
Compile data from DHIS2/Gestion PEV, digital session reporting forms, GTS outputs, training logs, supervision checklists, supply‑chain monitoring tools and community records
Ensure datasets are complete, properly documented and available according to the reporting calendar
Produce monthly analyses of agreed tracer antigens and vaccination performance
Requirements
Bachelor’s degree in public health, epidemiology, statistics, monitoring and evaluation, health information systems, social sciences or a related discipline
Senior Data Engineer on the Optum Rx Data Engineering Ops team responsible for ensuring reliability, operational excellence, and continuous performance of critical data systems and pipelines.
Responsibilities
Monitor complex enterprise data loads and automated data pipelines to ensure high availability, system stability, and timely SLA execution
Lead proactive incident triage, troubleshooting, root‑cause analysis, and resolution for production data pipeline failures and operational issues
Implement, automate, and refine robust data quality checks, validation rules, and monitoring frameworks across pharmacy data environments
Drive continuous process automation to optimize operational workflows, reduce manual overhead, and accelerate incident recovery
Use enterprise‑approved AI tools to streamline operational workflows, automate tasks, and drive continuous improvement across data engineering operations
This role organizes product data updates so teams can use accurate, consistent product information.
Compensation
Monthly Pay: $3,894 - $5,598 USD per month
Responsibilities
Review incoming product update requests from a shared queue and email, then organize them by required action, readiness, owner, and target completion date.
Check supplied product identifiers, dimensions, materials, category assignments, and variant relationships against approved source information before arranging updates to existing product entries.
Maintain product attributes in a product information management system such as Akeneo, using established field definitions and naming conventions for consistent entries.
Use a Spreadsheets and data entry tool such as Microsoft Excel to compare submitted values, flag missing fields, and prepare update lists.
Coordinate task assignments and review dates through a Project management tool such as monday.com, keeping ownership and dependencies visible to the product team.
Requirements
High school diploma or equivalent
Nice to have: 1-2 years experience coordinating product data
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