IT Data Engineer Intern

Data Engineer Intern

Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. We develop products and services for use throughout the lifecycle of an offshore oilfield, from drilling to decommissioning. We operate the world's premier fleet of work class ROVs. Additionally, we are a leader in offshore oilfield maintenance services, umbilicals, subsea hardware, and tooling. We also use applied technology expertise to serve the defense, entertainment, material handling, aerospace, science, and renewable energy industries.

This is a paid Summer Internship Program (early June to early August). As a Data Engineer Intern, you will play a key role in migrating data from Denodo to Microsoft Fabric.

Duties And Responsibilities:

• Analyzing and understanding SQL logic built into Denodo views.
• Recreating that logic using Microsoft Fabric Data Factory pipelines, Spark SQL, and notebooks.
• Conducting thorough validation to ensure data accuracy and consistency post-migration.
• Creating clear and comprehensive supporting documentation for migration processes and outcomes.
• Investigating and resolving any data discrepancies identified during migration or validation.
• Collaborating with Business Analysts, Project Managers, and Software Developers.
• Working independently and under the supervision/guidance of the Data Engineering Manager.

Qualifications:

• Required:
• 3rd or 4th year undergraduate student at an accredited University, pursuing a degree in Computer Science or Management Information Systems (MIS).
• Minimum 3.0 GPA.
• Experience with Microsoft Office.
• Must be legally authorized to work in the United States without company sponsorship now and in the future.
• Strong understanding of SQL, including the ability to write, analyze, and optimize queries.
• Proficiency in using SQL joins (INNER, LEFT, RIGHT, FULL) to combine data from multiple tables.
• Experience with GROUP BY, HAVING, and aggregate functions (e.g., COUNT, SUM, AVG) for data summarization and reporting.
• Ability to interpret and translate complex SQL logic from existing views or scripts.
• Desired:
• Knowledge of Microsoft Fabric and experience building data pipelines.
• Familiarity with Spark SQL and the use of notebooks for data engineering tasks.

This position is Hybrid - Remote and will require commuting to a designated office. Hybrid work schedules are determined by the hiring manager based on business need. Equal Opportunity Employer. All qualified candidates will receive consideration for all positions without regard to race, color, age, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, veteran status, disability, genetic information, or other non-merit factors.