Senior Databricks Data Engineer — Remote (Federal)

ICF; Reston (VA); On-site; USD 98,614 - 202,850; Full time

Job summary

ICF is seeking a Senior Databricks SME to turn complex data into actionable solutions for a federal platform modernization initiative. You will work with cross-functional teams to enable secure data exchange and scalable analytics.

This remote role requires US residency and citizenship to meet federal contract requirements. You will design data pipelines, build data lakes and warehouses, support ML workflows, and mentor junior staff while collaborating with government stakeholders and customers

Qualifications

• Bachelor’s degree required.
• 5+ years in data engineering, analytics, and data security practices.

Responsibilities

• Enable secure, scalable data exchange between federal client and external partners using Databricks Delta Sharing.
• Develop data pipelines/ETL in Azure Cloud for RDBMS, API, and unstructured data using CDC/incremental/batch loads.
• Perform data profiling, transformation, and QA on diverse data types.
• Identify issues and translate into technical requirements.
• Assist in building data lakes, feature stores, and data warehouses for analytics and ML.
• Prepare data for data science and MLOps workflows.

Skills

Databricks platform

Delta Lake/Delta Sharing

Apache Spark

Spark internals optimization

End-to-end data architectures

ETL pipelines

Azure data services

Tableau/Power BI familiarity

MLOps/Data science methodologies

Git-based version control/CI-CD

Terraform IaC

Python/SQL

Education

Bachelor’s degree

Tools

Databricks

Delta Lake

Delta Sharing

Apache Spark

Synapse/Data Factory

Jenkins

Git

Terraform

Job description

ICF is seeking a Senior Databricks SME to turn complex data into actionable solutions for a federal platform modernization initiative. You will work with cross-functional teams to enable secure data exchange and scalable analytics.

This remote role requires US residency and citizenship to meet federal contract requirements. You will design data pipelines, build data lakes and warehouses, support ML workflows, and mentor junior staff while collaborating with government stakeholders and customers