Senior Economic Data Systems Engineer - AI-Ready Platform

International Monetary Fund; Washington; On-site; USD 140,000 - 190,000; Full time

Job summary

The International Monetary Fund (IMF) in Washington, DC is seeking a Senior Economic Data Systems Engineer to design, implement, and operate robust economic data systems across the full data lifecycle. You will collaborate with economists, product teams, and platform administrators to deliver secure, scalable data products and AI-enabled use cases.

The role emphasizes metadata-driven engineering, data contracts, CI/CD, DataOps, and governance, with a focus on trusted datasets, privacy, and

Qualifications

• Bachelor’s degree in computer science, computer engineering, software engineering, electrical engineering, information systems, data engineering or related field with 10 years’ experience, or Master’s with 4 years’ experience.
• Advanced experience designing, implementing, enhancing, and operating enterprise-scale data engineering systems, preferably for economic/financial domains.
• Strong knowledge of economic data, metadata and semantic models, SDMX, and modern data architectures (lakehouse/warehouse).
• Hands-on SQL and Python; experience with Fabric, Databricks, Spark, Snowflake, BigQuery, and similar tools.
• Experience with CI/CD, DataOps, governance, privacy controls, and production operations.
• Ability to collaborate with technical and business stakeholders, document solutions, and guide colleagues.

Responsibilities

• Provide advanced engineering expertise to enhance and modernize economic data systems.
• Design, implement, and operate data systems across acquisition, ingestion, transformation, storage, and visualization.
• Apply governance and architecture patterns for governed data solutions.
• Engineer data onboarding, integration, and secure connectivity patterns.
• Develop data transformation and processing solutions using cloud-native services and lakehouse/warehouse platforms.
• Implement data quality controls and DataOps/DevOps practices.
• Configure and monitor data platforms to ensure availability, security, and cost‑effective operations.
• Support AI/ML initiatives by engineering trusted data assets and providing guidance to teams.

Skills

Analysis

Collaboration

Education

Bachelor’s degree + 10 years

Master’s degree + 4 years

Tools

SQL

Python

Spark

Databricks

Hadoop

Power BI

Snowflake

BigQuery

Job description

The International Monetary Fund (IMF) in Washington, DC is seeking a Senior Economic Data Systems Engineer to design, implement, and operate robust economic data systems across the full data lifecycle. You will collaborate with economists, product teams, and platform administrators to deliver secure, scalable data products and AI-enabled use cases.

The role emphasizes metadata-driven engineering, data contracts, CI/CD, DataOps, and governance, with a focus on trusted datasets, privacy, and