Data Engineer; Python; Remote

Position: Data Engineer (Python) - Remote USA
ICF is a mission-driven company filled with people who care deeply about improving the lives of others and making the world a better place. Our core values include Embracing Difference, and we seek candidates who are passionate about building a culture that encourages, embraces, and hires dimensions of difference.

Our Health Engineering Systems (HES) team works side by side with customers to define a vision for success and deliver practical, secure solutions. We are seeking a Data Engineer to develop and support reliable data pipelines, database solutions, and reporting integrations across PostgreSQL, SQL, Databricks, and the Data Connect reporting environment using AWS Quick Sight. The ideal candidate can translate requirements into maintainable code and contribute independently while partnering with senior engineers, data scientists, analysts, and Dev Ops team members.

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 Data Connect reporting through AWS Quick Sight 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.
· Write unit and integration tests for data-processing code and participate in code reviews.
· Translate technical specifications and business requirements into code, data designs, and implementation documentation.
· Collaborate with Dev Ops engineers on CI/CD, infrastructure as code, deployment, and environment support.
· Apply security and privacy controls for data at rest and in transit.
· Contribute to Agile planning, refinement, estimation, and continuous improvement activities.
· Other duties as assigned.

Minimum Qualifications
· Bachelor's degree
· 3+ years of hands-on software development or data engineering experience.
· Candidate must be able to obtain and maintain a Public Trust clearance.
· Candidate must reside in the United States, be authorized to work in the United States, and have lived in the United States for three full years out of the last five years.

What you will bring
· 2+ years of experience developing data pipelines or data-processing solutions using SQL and Python or a comparable programming language.
· Hands-on experience with PostgreSQL and strong knowledge of relational database concepts and SQL.
· Experience working with cloud-based data platforms and version-controlled development workflows.
· Ability to read technical specifications and translate them into working code and documentation.

Preferred Qualifications
· Experience developing data workflows on the Databricks platform.
· Experience creating datasets, dashboards, or reporting integrations with AWS Quick Sight.
· Experience with Spark, Airflow, AWS data services, or similar pipeline and orchestration technologies.
· Experience building or supporting REST APIs.
· Working knowledge of Type Script for services, integrations, automation, or data-access applications.
· Familiarity with CI/CD pipelines, Git Hub Actions, Terraform, or other infrastructure-as-code tools.
· Experience with data governance, metadata, data lineage, and secure data-sharing practices.
· Experience working in Agile teams and using test-driven development practices.

Job Location:

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