Data Operations Engineer Intern at Leidos in Remote

Summary: 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 Required Qualifications: - 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 Preferred Qualifications: - 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 Required Skills: SQL, Data integration, Data quality Important Skills: Python, REST APIs, Data concepts Nice-to-Have Skills: Analytical skills