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

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

World Bank

October 20, 2026November 21, 2026Washington DcUnited States
Job Description
Job Posting Organization:
The International Finance Corporation (IFC) is a member of the World Bank Group (WBG) and has been operational since 195
  • The organization is dedicated to promoting private sector investment in developing countries to reduce poverty and improve living standards. With a workforce of over 3,000 employees, IFC operates in more than 145 countries and has over 182 offices worldwide. The organization focuses on creating jobs, fostering economic growth, and enhancing the quality of life through sustainable development initiatives. In fiscal year 2026, IFC committed a record $105.6 billion to private companies and financial institutions in developing countries, showcasing its commitment to impactful investment and development.

Job Overview:
The Associate IT Officer position is a senior individual contributor role within the Corporate Information Technologies Department at IFC. This role is pivotal in leading the design, delivery, and evolution of trusted data products that support critical business decisions across the organization. The successful candidate will be responsible for combining deep data engineering expertise with product ownership responsibilities, ensuring that data products are reliable, adopted, and continuously improved. The role requires hands-on experience with AI-enabled engineering practices and a commitment to experimenting and learning to enhance data product design and functionality. The candidate will work closely with business stakeholders to clarify business intent, shape priorities, and define acceptance criteria for data products, ensuring alignment with the organization's strategic priorities and operations.

Duties and Responsibilities:
The duties and responsibilities of the Associate IT Officer include designing, building, and maintaining scalable and reliable data pipelines using Python, SQL, and PySpark. The candidate will lead ETL and ELT solutions for various data types, develop logical and physical data models, and establish data contracts covering schemas and quality expectations. They will also analyze schema changes, modernize legacy data workloads onto the Databricks lakehouse, and apply modern engineering practices. Additionally, the role involves translating business needs into clear data product outcomes, maintaining a prioritized backlog, and communicating product decisions to stakeholders. The candidate will also be responsible for optimizing data processing, implementing governance capabilities, and leading incident triage for complex issues.

Required Qualifications:
Candidates must possess a Master's degree in Computer Science, Engineering, Data Science, or a related field, along with at least five years of relevant experience. Strong programming skills in Python and SQL, hands-on experience with Apache Spark, and familiarity with the Databricks ecosystem are essential. The candidate should have experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform, and a strong understanding of lakehouse architecture and data governance. Additionally, the ability to translate business needs into product outcomes and experience in leading complex data engineering solutions are required.

Educational Background:
A Master's degree in Computer Science, Engineering, Data Science, or a related field is required for this position. Candidates with an equivalent combination of education and experience may also be considered. Relevant certifications such as Databricks Certified Data Engineer or Microsoft Certified: Fabric Data Engineer Associate are desirable.

Experience:
Candidates should have at least five years of relevant experience in data engineering or related fields. Demonstrated experience in leading the design and delivery of complex data engineering solutions in enterprise environments is crucial. Experience with modern data processing frameworks and AI-assisted engineering tools is also important.

Languages:
The mandatory language for this position is English. While no additional languages are specified as preferred, proficiency in other languages may be beneficial in a diverse work environment.

Additional Notes:
This position is classified as an Open-Ended Staff role, indicating that it is not tied to a specific contract duration and may offer long-term employment opportunities. The recruitment is international, allowing candidates from various countries to apply. The role is full-time and offers comprehensive benefits, including a retirement plan, medical, life and disability insurance, and paid leave, including parental leave. The World Bank Group is committed to diversity and inclusion, ensuring equal opportunities for all candidates.
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