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

ICF; United States; Remote; USD 38,000 - 78,000; Full time

Job summary

ICF is seeking a Data Engineer Intern for a 10-week, full-time program in Reston, VA. You will work with data engineers on ingestion, transformation, and data quality tasks, gaining experience with enterprise pipelines and cloud technologies.

Entry-level position beginning in June and ending in August. Candidates should have college credits in relevant fields and citizenship or work authorization. Remote accommodations are not provided for housing or relocation.

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

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.

Skills

SQL

Python

Java

Scala

Education

Bachelor's degree in computer science or related field

Pursuing Master's or graduate coursework

Tools

Azure

AWS

Google Cloud

Databricks

Snowflake

Spark

APIs

Job description

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.

Working at ICF

ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

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 [e-mail] 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 [e-mail]. Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed.

Pay Range

Pay Range - There are multiple factors that are considered in determining final pay for 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:

$37,855.00 - $77,869.00

Reston, VA (VA30)