Summer Associate Internship (Associate Data Engineer)

Location: Hybrid in Vienna, Virginia, United States

Salary: $26.44–$46.88 per hour

Company

hirify.global provides financial services and develops data solutions supporting fraud prevention, detection, analytics, and security operations.

What you will do

• Support data integration, data quality, analytics, and platform modernization initiatives for fraud engineering.
• Assist with data readiness for AI and machine learning solutions, including transformation, accessibility, and validation.
• Enable real-time and batch integration across enterprise systems and external fraud data providers.
• Analyze large and complex datasets to identify quality issues, trends, and operational improvement opportunities.
• Document technical processes, data flows, and engineering solutions while participating in Agile activities.
• Contribute to Databricks Notebooks, UAT testing, and data validation frameworks.

Requirements

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, Information Systems, Software Engineering, Analytics, or a related field.
• Expected graduation date of December 2027 or later.
• Experience with Python, SQL, Scala, Java, or similar programming technologies.
• Familiarity with relational databases, data warehousing, data modeling, and ETL/ELT concepts.
• Strong analytical, problem-solving, communication, collaboration, and technical presentation skills.
• Available for the 12-week internship from May 2027 through August 2027, with Monday–Friday hours from 8:00 AM to 4:30 PM.

Nice to have

• Knowledge of Azure, AWS, or GCP.
• Familiarity with Databricks, Spark, Kafka, or Hadoop.

Culture & Benefits

• Meaningful project work within a fraud and global security data engineering organization.
• Collaborative environment involving data engineers, data scientists, fraud analysts, and business stakeholders.
• Competitive pay and benefits for eligible employees.
• Internship experience recognized by multiple workplace and early-career organizations.