Data Engineer, Python

🔥 0 minutes ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $81.5k - $167.6k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ICF

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1969

💼 Consulting

🏛️ Government

🏥 Healthcare

💰 $29M Grant on 2023-03

Consulting • Government • Healthcare

ICF is a global consulting firm founded over 55 years ago that partners with governments, businesses, and communities to deliver data-driven, technology-enabled solutions for complex public- and private-sector challenges. Its work areas include digital modernization, data analytics, resilience and adaptation, energy planning, federal health programs, disaster management, and infrastructure and transportation support. ICF provides consulting, program implementation, and advisory services to drive measurable outcomes and build community resilience.

📋 Description

• 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

• 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

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