Remote Data Engineer: Databricks & PostgreSQL

ICF; Reston (VA); Remote; USD 81,000 - 168,000; Full time

Job summary

ICF is seeking a Data Engineer to design and operate reliable data pipelines and reporting integrations across PostgreSQL, SQL, Databricks, and DataConnect with AWS QuickSight. The candidate will translate requirements into maintainable code and collaborate with senior engineers, data scientists, analysts, and DevOps teams.

The role emphasizes secure data access, CI/CD practices, and agile collaboration, with a focus on delivering scalable data solutions across cloud platforms.

Qualifications

• Bachelor's degree in a related field.
• 3+ years hands-on software development or data engineering experience.
• Ability to obtain and maintain a Public Trust clearance.
• Candidate must reside in the United States and be authorized to work in the United States.

Responsibilities

• Design, develop, test, and maintain data pipelines and transformation workflows using SQL, Python, Databricks, and cloud technologies.
• Develop and optimize PostgreSQL database objects, queries, data models, and data-access patterns.
• Build and maintain integrations that support DataConnect reporting through AWS QuickSight and Databricks.
• Develop API services and reusable components that facilitate secure data access and system integration.
• Support extraction, transformation, and loading of data from multiple sources while meeting functional and non-functional requirements.
• Create and maintain data-quality checks, validation jobs, monitoring, and operational alerts.
• Troubleshoot data issues and improve pipeline reliability, performance, availability, and refresh timeliness.

Skills

SQL

Python

Data pipelines

REST APIs

CI/CD

Education

Bachelor's degree

Tools

Databricks

PostgreSQL

AWS QuickSight

GitHub Actions

Terraform

Job description

ICF is seeking a Data Engineer to design and operate reliable data pipelines and reporting integrations across PostgreSQL, SQL, Databricks, and DataConnect with AWS QuickSight. The candidate will translate requirements into maintainable code and collaborate with senior engineers, data scientists, analysts, and DevOps teams.

The role emphasizes secure data access, CI/CD practices, and agile collaboration, with a focus on delivering scalable data solutions across cloud platforms.