Data Engineer, Summer Intern

🔥 0 minutes ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $37.9k - $77.9k / year

⏱ Part Time

⚪️ Entry-level

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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ICF

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1969

🏥 Healthcare

📦 Logistics

📣 Marketing

💰 $30M Grant on 2021-03

Healthcare • Logistics • Marketing

ICF is a global consulting and technology services company that helps government and commercial clients tackle complex challenges. The firm provides expertise in areas such as Federal IT modernization, energy and utilities, public health, climate resilience, disaster management, and transportation. ICF leverages data and analytics, artificial intelligence, and cybersecurity to deliver innovative solutions. With a strong commitment to corporate citizenship and sustainability, ICF supports social programs and community development, aiming for a sustainable, low-emissions future. The company operates worldwide, with significant presence in Europe through its offices in Belgium, Spain, and the UK.

📋 Description

• Develop and test data pipelines under senior engineer guidance • Integrate structured and semi-structured data from multiple sources • Write SQL and code to transform, validate, and prepare data for analysis • Monitor data quality and troubleshoot pipeline issues • Contribute to data models, technical documentation, and source-to-target mappings • Participate in Agile ceremonies, code reviews, and team design discussions • Present project outcomes and recommendations at the end of the internship

🎯 Requirements

• By start date, a minimum of 30 completed college-level credit hours in computer science, data engineering, information systems, software engineering, or related fields • United States Citizenship or Permanent Work Authorization is required • Preferred: completed bachelor’s degree and enrollment verification in a master’s program or 9 completed graduate credit hours in a related field • Academic or project experience with SQL and at least one programming language, preferably Python, Java, or Scala • Familiarity with databases, data structures, ETL/ELT concepts, or cloud platforms • Exposure to Azure, AWS, Google Cloud, Databricks, Snowflake, Spark, or similar technologies • Familiarity with Git, APIs, data warehouses, or orchestration tools • Experience through coursework, research, personal projects, or prior internships • Strong analytical, problem-solving, and communication skills • Ability to work independently and collaboratively

🏖️ Benefits

• Reasonable accommodations for disabilities, disabled veterans, and sincerely held religious beliefs • Equal opportunity employment • Confidential accommodation support during application and employment