2027 Summer Intern, Data Engineer (Reston, VA or Remote)

The Data Engineer Intern will help build reliable, scalable data solutions that support analytics, reporting, and business operations. During this 10-week program, the intern will work with experienced data engineers on a defined project involving data ingestion, transformation, quality, and documentation.

The intern will gain practical experience with enterprise data pipelines, engineering standards, data quality practices, cloud technologies, and cross-functional delivery.

This is an entry-level, 10-week, full-time internship expected to begin in June and end in August. At this time, we are unable to provide housing or relocation assistance for this position.

Key Responsibilities

• 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.

Basic Qualifications

• By start date, a minimum of 30 completed college-level credit hours in computer science, data engineering, information systems, software engineering, or related fields.

• Due to federal contract requirements, United States Citizenship or Permanent Work Authorization is required.

Preferred Qualifications

• A completed bachelor’s degree and enrollment verification in a master’s program or 9 credit hours complete in graduate coursework in computer science, data engineering, information systems, software engineering, or 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.

• 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.

• 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.

Bot and Third-Party Applications

Please note that this application must be submitted directly by the applicant for consideration. Failure to do so may result in the application being excluded for consideration. Applicants needing an accommodation for disability or religious purposes in connection with the application process should contact [email protected] for assistance.

Working at ICF

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together, our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please email [email protected] and we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations.

Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) CoverageAct.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodationthat involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance at [email protected]. Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed.

Pay Range - There are multiple factors that are considered in determining final payfor a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is: