Data Engineer, Python

ICF

. Design, develop, test, and maintain data pipelines and transformation workflows using SQL, Python, Databricks, and cloud technologies .

Posted 10/13/2026full-timeRemote • Virginia • United StatesMid-LevelSenior💰 $81,499 - $167,644 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing data pipelines and transformation workflows using SQL and Python, with a strong focus on PostgreSQL database optimization and cloud technologies. Proficient in implementing data quality checks, monitoring, and security controls while collaborating effectively in Agile environments.

Highest-signal resume keywords

Data Pipeline DevelopmentPostgreSQL Database OptimizationSQL ProgrammingCloud-Based Data PlatformsAgile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonPostgreSQLDatabricksAWS QuickSightREST APIsSparkAirflowCI/CDTest-Driven Development

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

AWS Data ServicesGitHub ActionsTerraform

Certifications & Qualifications

Public Trust Clearance

Industry Keywords

Data EngineeringData GovernanceData LineageSecure Data Sharing

Tech Stack

Tools & technologies

AirflowAWSCloudPostgresPythonSparkSQLTerraformTypeScript

About the role

Key responsibilities & impact

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 DataConnect reporting integrations through AWS QuickSight and Databricks
Develop API services and reusable components for secure data access and system integration
Extract, transform, and load data from multiple sources
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 and participate in code reviews
Translate technical specifications and business requirements into code, data designs, and implementation documentation
Collaborate with DevOps 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
Perform other duties as assigned

Requirements

What you’ll need

Bachelor's degree
3+ years of hands-on software development or data engineering experience
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
Ability to obtain and maintain a Public Trust clearance
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
Preferred: experience with Databricks, AWS QuickSight, Spark, Airflow, AWS data services, REST APIs, TypeScript, CI/CD, GitHub Actions, Terraform, data governance, metadata, data lineage, secure data sharing, Agile teams, and test-driven development

Benefits

Comp & perks

Equal opportunity employment
Reasonable accommodations for disabilities, disabled veterans, and sincerely held religious beliefs
Benefit offerings referenced under the Transparency in Coverage Act