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Associate IT Officer, Data and Information Management; Associate Data Engineer; req

Job in Washington, District of Columbia, 20022, USA
Listing for: IFC - International Finance Corporation
Full Time position
Listed on 2026-10-13
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst
Salary/Wage Range or Industry Benchmark: 130000 - 180000 USD Yearly USD 130000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: Associate IT Officer, Data and Information Management (Associate Data Engineer) - req38607
Associate IT Officer, Data and Information Management (Associate Data Engineer)

Job #: req
38607

Organization: IFC

Sector:
Information Technology

Grade: GF

Term Duration:
Open-Ended Staff (OPEN-OP)

Recruitment Type:
International Recruitment

Location:

Washington, DC,United States

Required Language(s):
English

Closing Date: 10/22/2026 (MM/DD/YYYY) at 11:59pm UTC

Description

At the International Finance Corporation (IFC), a member of the World Bank Group (WBG), you’ll join a diverse, global community working across cultures, disciplines, and borders to address the world’s most pressing development challenges. With 1.2 billion young people reaching working age in the decade ahead, the challenge of job creation has never been greater. Through partnerships across 145 countries and more than 182 offices worldwide, we work with governments, private sector, development partners and other stakeholders to invest in people, strengthen markets, and deliver scalable, data-driven solutions that generate more and better jobs and improve lives.

In fiscal year 2026, IFC committed a record $105.6 billion to private companies and financial institutions in developing countries. For more information, visit (Use the "Apply for this Job" box below)..

The Corporate Information Technologies Department enables IFC’s strategic priorities and operations through secure, reliable technology solutions. CIT partners with the business to automate processes, improve responsiveness and efficiency, manage risk, and strengthen data, analytics, information, knowledge, and learning capabilities.

CITDE is IFC’s data solutions organization, building trusted data foundations, scalable platforms, and data products that power decisions, analytics, AI, and operational excellence. We combine modern engineering, product thinking, and business impact to solve institution-wide challenges, accelerate innovation, and create measurable value across global development programs.

We are looking for an experienced Data Engineer to lead the design, delivery, and evolution of trusted data products that support critical business decisions across IFC. This is a senior individual contributor role that combines deep, hands-on data engineering expertise with meaningful data product ownership responsibilities.

The role is anchored in data engineering with some elements of product management. The successful candidate will clarify business intent, shape priorities, define acceptance criteria, make informed trade-offs, and remain accountable for the reliability, adoption, cost, and continuous improvement of assigned data products.

The role also requires hands-on use of AI-enabled engineering practices and a willingness to keep experimenting, learning, and helping the team adopt effective approaches responsibly. Candidates should be able to show how they already use AI assistants or agents in real engineering work, in their current role or in their own projects, and how they check the results. Extensive experience building agentic workflows is not required, but candidates should demonstrate sound judgment, active learning, and openness to changing how data products are designed, built, tested, released, and operated.

Data products in this team serve two kinds of consumers: people, through reports and analysis, and AI agents and natural-language tools that query data directly. The role builds for both.

What success looks like in the first 12 months
  • Own at least one data product end to end, with a published contract, quality rules, defined users and measured adoption.
  • Move at least one workload off a legacy platform or pattern onto the Databricks lakehouse, using AI-assisted methods where they speed up the work.
  • Add reusable specifications, prompts, skills or patterns to the team's shared library, so…
Position Requirements
10+ Years work experience
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