Associate IT Officer, Data and Information Management (Associate Data Engineer)

World Bank Group•Washington, DC

About The Position

Build a career with impact. Working at the World Bank Group (WBG) provides a unique opportunity to help countries solve their greatest development challenges. As one of the largest sources of funding and knowledge for developing countries, the WBG is a unique partnership of five global institutions dedicated to ending poverty, increasing shared prosperity, and promoting sustainable development. With 189 member countries and more than 120 offices worldwide, the WBG works with public and private sector partners, investing in groundbreaking projects and using data, research, and technology to develop solutions to the most urgent global challenges. IFC, a member of the World Bank Group, is the largest global development institution focused on the private sector in emerging markets. Working with 2,000 businesses worldwide, we use our six decades of experience to create opportunity where it’s needed most. In FY25, our total exposure in developing countries rose beyond $70 billion, leveraging our capital, expertise and influence to help the private sector end extreme poverty and boost shared prosperity. For more information, visit www.ifc.org. The mission of the Corporate Information Technologies Department (CIT) is to leverage technology to enable IFC’s strategic priorities and to support IFC’s business and operations. By acting as the technology partner and business enabler, the department provides state-of-art information and technology solutions to support IFC’s Investment & Advisory Services, Financial Operations, Treasury & the Asset Management Company. We work closely with the business to design solutions that automate business processes, help enable business responsiveness to clients, improve operational efficiency and organizational effectiveness, and manage risks. CIT aims to ensure that our solutions meet the business needs of users across a range of functions, including operations and corporate business processes, information, knowledge and learning, data and analytics, and more. We are looking for an Associate Data Engineer to join our growing data and analytics ecosystem. In this role, you will design and build modern data pipelines and platforms that support critical business decisions across IFC. You will work at the intersection of data engineering, cloud technologies, and advanced analytics, helping transform raw data into trusted, actionable insights. This is an exciting opportunity for a hands-on data professional who enjoys solving complex problems and contributing to a global mission. The ideal candidate is an experienced professional operating with a high degree of independence within established frameworks. • Applies advanced technical knowledge to perform in-depth analyses and develop data engineering solutions within their area of specialization • Addresses moderately complex technical challenges, proposing well-reasoned solutions and contributing to design and architectural decisions • Collaborates with internal and external stakeholders to align technical solutions with business needs, facilitating informed decision-making • Provides guidance and knowledge sharing to junior team members, contributing to overall team capability and best practices • Demonstrates the ability to translate business requirements into scalable data solutions, applying professional judgment across a range of assignments

Requirements

Master’s degree in Computer Science, Engineering, Data Science, or a related field with at least 5 years of relevant experience
Demonstrated experience in designing and implementing data engineering solutions in enterprise environments
Strong programming skills in Python and SQL, with hands-on experience in Apache Spark
Proven experience with Databricks ecosystem (Notebooks, Jobs, Delta Lake, Unity Catalog)
Experience working with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform
Solid understanding of data lakehouse architectures, data modeling, and distributed systems
Strong analytical and problem-solving capabilities with attention to detail
Ability to independently manage priorities and deliver high-quality solutions under minimal supervision
Effective communication skills to collaborate with both technical and non-technical stakeholders
Understanding of data governance, DevOps practices, and workflow orchestration
Experience with real-time or streaming data processing frameworks
Hands-on experience applying AI/GenAI techniques to unstructured data, including text preprocessing, information extraction, document classification, and semantic search
Understanding of Responsible AI considerations for enterprise data platforms (privacy, access control, data minimization, bias risk awareness, and audit/logging requirements for AI solutions)

Nice To Haves

Exposure to machine learning pipelines and MLOps practices
Familiarity with data visualization and business intelligence tools
Microsoft Certified: Fabric Data Engineer Associate - desirable
SAFe Practitioner (SP) - desirable

Responsibilities

Design, develop, and maintain scalable and reliable batch and streaming data pipelines using modern data processing frameworks (e.g., PySpark, SQL)
Implement ETL/ELT processes that support ingestion, transformation, and integration of structured and unstructured data from multiple sources, including metadata enrichment and AI-ready preparation for downstream analytics and GenAI use cases
Ensure pipelines are robust, reusable, and aligned with enterprise data architecture standards
Build pipelines to ingest and process unstructured and semi-structured content (e.g., documents, PDFs, presentations, emails, web content), including text extraction and metadata tagging
Prepare high-quality text datasets to support AI use cases such as search, summarization, classification, and question answering
Work with data scientists and AI engineers to productionize AI/GenAI workflows
Apply Responsible AI and security practices (privacy, access control, sensitive data handling, and auditability)
Develop and manage data models aligned with modern data lakehouse architectures, including Medallion (Bronze, Silver, Gold) layers
Build curated datasets optimized for analytics, reporting, and downstream consumption
Contribute to the evolution of IFC’s enterprise data architecture and standards
Analyze and optimize data processing performance through efficient partitioning, indexing, caching, and storage strategies
Ensure scalability and cost-efficiency of data solutions within cloud environments
Continuously monitor and improve system performance and reliability
Implement and support data governance practices, including data lineage, access control, and auditing mechanisms
Leverage tools such as Unity Catalog to enforce data security and compliance policies
Ensure adherence to enterprise standards for data privacy, security, and risk management
Deploy, schedule, and monitor data workflows in production using tools such as Databricks Jobs or equivalent orchestration frameworks
Troubleshoot pipeline failures, implement error handling, and ensure high availability of critical data assets
Participate in continuous integration and deployment (CI/CD) processes for data engineering solutions
Partner closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver scalable solutions
Support machine learning workflows by providing high-quality, production-ready datasets
Provide technical guidance and mentorship to junior team members where applicable

Benefits

The World Bank Group offers comprehensive benefits, including a retirement plan; medical, life and disability insurance; and paid leave, including parental leave, as well as reasonable accommodations for individuals with disabilities.

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