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Tech Stack
Tools & technologiesAWSAzureCloudETLJavaPythonScalaSparkSQL
About the role
Key responsibilities & impact- 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
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
- 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
Comp & perks- Reasonable accommodations for disabilities, disabled veterans, and sincerely held religious beliefs
- Equal opportunity employment
- Confidential accommodation support during application and employment