Cloud Data Engineer - Delta Lake & AI/ML Platforms (Remote)

ICF; United States; Hybrid; USD 81,000 - 139,000; Full time

Job summary

ICF is seeking a Data Engineer to design and maintain cloud-based data pipelines and data products for analytics and AI/ML use cases. The role supports a large federal agency’s data and analytics ecosystem, with emphasis on Databricks, Delta Lake, SQL, and Python within a governed data platform.

Remote work is available with a strong preference for candidates in the Washington DC Metro Area; occasional onsite client meetings in Washington, DC are expected. Equality and compliance policies apply.

Qualifications

• U.S. Citizenship required for federal contract.
• Residence and work authorization in the U.S.
• 3+ years of relevant data engineering experience.
• Bachelor’s degree required or four years of alternate experience; master’s may substitute for two years.

Responsibilities

• Build data pipelines, transformations, semantic views, conformed dimensions, and consumption-ready data models for analytics, reporting, and AI/ML use cases.
• Apply ETL/ELT, SQL/Python, Databricks, Azure Data Factory or equivalent orchestration, semantic views, data modeling, quality checks, and documentation to support role delivery.
• Collaborate with data owners, governance personnel, and customer-facing teams to ensure data products are understandable, reliable, and ready for approved use.
• Document work products, decisions, risks, and delivery evidence to support traceability and continuous improvement.

Skills

Databricks

SQL

Python

Data modeling

ETL/ELT

Data governance

Cloud data

Power BI

Education

Bachelor’s degree in CS/DS/Info Systems

High school diploma + 4 years experience

Master’s degree may substitute for 2 years

Tools

Delta Lake

Apache Spark

Azure Data Factory

Azure Machine Learning

Unity Catalog

Power BI

Job description

ICF is seeking a Data Engineer to design and maintain cloud-based data pipelines and data products for analytics and AI/ML use cases. The role supports a large federal agency’s data and analytics ecosystem, with emphasis on Databricks, Delta Lake, SQL, and Python within a governed data platform.

Remote work is available with a strong preference for candidates in the Washington DC Metro Area; occasional onsite client meetings in Washington, DC are expected. Equality and compliance policies apply.