Data Engineering Intern: Cloud Migration & ETL

ForFutures Financial, Planning, a financial advisory practice of Ameriprise Financial Services LLC; Santa Ana (CA); Remote; USD 55,000 - 62,000; Full time

Job summary

First American, a leader in real estate data products, is offering an internship within its Data Engineering team. The role focuses on migrating data workloads from Azure to Google Cloud Platform (GCP) and on building scalable ETL workflows in cloud-native environments.

You will contribute to data validation, documentation, and collaboration with product engineering to ensure seamless integration of data services across enterprise-scale pipelines.

Qualifications

• Strong SQL skills
• Python for data engineering and transformation
• Experience with Pandas and NumPy
• Understanding of ML concepts: regression, classification, clustering
• Ability to build/train/evaluate ML models with Scikit-learn
• Data visualization with Matplotlib/Seaborn
• Understanding of statistics, probability, ML basics
• Experience with ETL and ETL tools; familiarity with GCP/Azure
• Familiarity with cloud platforms (Azure/GCP)
• Understanding of distributed data processing and version control

Responsibilities

• Assisting in migrating data pipelines from Azure to GCP
• Designing, building, and testing ETL workflows in cloud environments
• Refactoring data transformation processes for scalability and performance
• Supporting data validation, reconciliation, and quality assurance
• Contributing to technical documentation and diagrams
• Collaborating with product engineering teams to ensure integration of data services
• Participating in code reviews and version control workflows

Skills

SQL

Python

Pandas/NumPy

ML concepts

Scikit-learn

Data visualization

ETL processes

GitHub

Data warehousing

Cloud basics

Job description

First American, a leader in real estate data products, is offering an internship within its Data Engineering team. The role focuses on migrating data workloads from Azure to Google Cloud Platform (GCP) and on building scalable ETL workflows in cloud-native environments.

You will contribute to data validation, documentation, and collaboration with product engineering to ensure seamless integration of data services across enterprise-scale pipelines.