Remote Data Engineer: Cloud Data & AI Platforms

ICF; Montgomery (AL); Remote; USD 81,000 - 139,000; Full time

Job summary

ICF is seeking a Data Engineer for its Digital Modernization Division to design and operate cloud‑based data pipelines for analytics, reporting, and AI/ML use cases. The role emphasizes data products, governance, and scalable data architectures in a federal contracting context.

The position supports Databricks, Delta Lake, Apache Spark, SQL, and Python workloads, with a preference for candidates in the Washington DC metro area but remote work is acceptable with occasional client site meetings in

Qualifications

• U.S. Citizenship is required due to federal contract requirements.
• Candidate must reside in the U.S., be authorized to work in the U.S., and all work must be performed in the U.S.
• Bachelor's degree in Computer Science, Data Engineering, Information Systems, Data Science, Statistics, Software Engineering, or related field; or a high school diploma with four (4) additional years of relevant experience in lieu of a bachelor's degree.
• Minimum 3 years of relevant experience aligned to the responsibilities of this role.
• Master's degree may substitute for two (2) years of relevant experience.

Responsibilities

• Builds and maintains data pipelines, transformations, semantic views, conformed dimensions, and consumption‑ready data models for analytics, reporting, and AI/ML use cases.
• Implements pipeline documentation, lineage support, release‑readiness evidence, quality checks, and defect resolution.
• Works with data owners, governance personnel, and customer‑facing teams to ensure data products are understandable, reliable, and ready for approved use.
• 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 relevant product, engineering, security, governance, quality, and customer‑facing stakeholders as required by the role.
• Document work products, decisions, risks, and delivery evidence to support traceability and continuous improvement.

Skills

ETL/ELT

SQL

Python

Databricks

Data modeling

Data governance

Azure Data Factory

Education

Bachelor's degree in Computer Science or related field

High school diploma with 4 years relevant experience

Master's degree may substitute for 2 years experience

Tools

Databricks

Azure Data Factory

Delta Lake

Apache Spark

Job description

ICF is seeking a Data Engineer for its Digital Modernization Division to design and operate cloud‑based data pipelines for analytics, reporting, and AI/ML use cases. The role emphasizes data products, governance, and scalable data architectures in a federal contracting context.

The position supports Databricks, Delta Lake, Apache Spark, SQL, and Python workloads, with a preference for candidates in the Washington DC metro area but remote work is acceptable with occasional client site meetings in