About The Position

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.

Requirements

  • A minimum of 30 completed college-level credit hours in computer science, data engineering, information systems, software engineering, or related fields by start date.
  • United States Citizenship or Permanent Work Authorization is required due to federal contract requirements.

Nice To Haves

  • 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.

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.

Benefits

  • The pay range for this position based on full-time employment is : $37,855.00 - $77,869.00
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