Data Engineer, Summer Intern

ICF

. Develop and test data pipelines under the guidance of senior engineers .

Posted 10/8/2026part-timeRemote • Virginia • United StatesEntry Level💰 $37,855 - $77,869 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates proficiency in SQL and programming languages such as Python, Java, or Scala, with a strong understanding of data pipelines, ETL/ELT concepts, and cloud platforms. Capable of contributing to data models and technical documentation while effectively collaborating in Agile environments.

Highest-signal resume keywords

SQLPythonData Pipeline DevelopmentETL/ELT ConceptsCloud Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonJavaScalaData Pipeline DevelopmentData TransformationData ValidationData Quality MonitoringTechnical DocumentationData Modeling

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication SkillsCollaborationIndependence

Tools & Technologies

AzureAWSGoogle CloudDatabricksSnowflakeSparkGitAPIsData WarehousesOrchestration Tools

Industry Keywords

Data EngineeringData IngestionEnterprise Data ArchitectureCloud Data PlatformsResponsible Data Management

Tech Stack

Tools & technologies

AWSAzureCloudETLJavaPythonScalaSparkSQL

About the role

Key responsibilities & impact

Develop and test data pipelines under the guidance of senior engineers
Integrate structured and semi-structured data from multiple sources
Write SQL and code to transform, validate, and prepare data for analysis
Assist with monitoring data quality and troubleshooting 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
Work with experienced data engineers on a defined 10-week project involving data ingestion, transformation, quality, and documentation

Requirements

What you’ll need

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
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 gained through coursework, research, personal projects, or prior internships
Strong analytical, problem-solving, and communication skills
Ability to work both independently and collaboratively
Interest in enterprise data architecture, cloud data platforms, and responsible data management

Benefits

Comp & perks

No housing or relocation assistance is provided
Reasonable accommodations for disabilities, disabled veterans, and sincerely held religious beliefs
Equal opportunity employment
Confidential accommodation support during application and employment processes