Data Operations Engineer Intern

Leidos is a leading company in the field of data and analytics, and they are seeking a Data Operations Engineer Intern to join their Chief Data & Analytics Office. The intern will work with enterprise data platforms and collaborate with various teams to build data pipelines, validate data, and support AI and Analytics initiatives.

Responsibilities:

• Meeting with data product and AI teams to discuss the data contract, requirements, and objectives
• Assisting the data quality team with data cleanup, issue tracking, profiling, and validations
• Meeting with data pipeline teams to map out data transformations, data flows, and load validations for building Data Products
• Collaborating with Data Product and AI teams to develop data interfaces for Data Products
• Developing data integration workflows to stage, transform, and build Data Products
• Developing and testing SQL queries in Snowflake to support integration code
• Coding in modern data integration tools
• Creating REST APIs to support data interfaces
• Developing Reporting Semantic Models to support Data Product interfaces
• Participating in team meetings and design sessions to plan and status project tasks

Requirements:

• Pursuing a bachelor's or master's degree in computer science, Data Science, Information Systems, Engineering, Analytics, or a related field
• Interest in data integration, data quality, analytics, and enterprise data platforms
• Fundamental understanding of data concepts i.e., data structures and data design (tables, schemas, metadata, data quality, data modeling basics)
• Experience or coursework with SQL
• Experience or coursework developing program code in Python or an equivalent programming language
• Fundamental understanding of REST APIs and JSON
• Strong analytical and problem-solving skills
• Ability to document processes clearly and communicate technical ideas to both technical and non-technical audiences
• Comfortable working in a collaborative, team-based environment
• US citizenship required
• Familiarity with Cloud Data Pipeline Tools
• Familiarity with Data Governance Tools
• Familiarity with Cloud Data Platforms, especially Snowflake
• Familiarity with Unstructured data processing
• Coursework or projects involving data modeling, data integration, or analytics
• Interest in AI/ML concepts, automation, or agent-based tools
• Strong organizational skills and attention to detail
• Curiosity about how data is managed at scale in large, complex organizations