First AmericanRemote
Data Engineering Intern - REMOTE
United States
Full-time
3 days ago
$40 - $45 USD
H1B Sponsor Likely
Key skills
SQLPythonETL processesData manipulationMachine learning conceptsData visualizationCloud platformsVersion controlData warehousingProblem-solving skillsMachine LearningMLscikit-learnPandasNumPyETLData EngineeringData WarehousingAzureGCPCloud StoragecomposerGitHubVersion Control
About this role
First American is a company that has been dedicated to its people since 1889, fostering an inclusive and supportive work environment. The Data Engineering Intern will support cloud modernization initiatives by contributing to ETL development, data pipeline optimization, and platform modernization efforts that enhance First American's national data products.
Responsibilities:
- Assisting in the migration of data pipelines from Azure-based infrastructure to GCP
- Designing, building, and testing ETL workflows in cloud-native environments
- Refactoring and optimizing existing data transformation processes for scalability and performance
- Supporting data validation, reconciliation, and quality assurance efforts
- Contributing to technical documentation and architectural diagrams
- Collaborating with product engineering teams to ensure seamless integration of data services
- Participating in code reviews and version control workflows
Requirements:
- Strong SQL skills
- Python for data engineering and transformation
- Experience with data manipulation using Pandas and NumPy
- Understanding basic machine learning concepts, including regression, classification, Clustering, model evaluation, and overfitting
- Ability to build, train, and evaluate ML models using tools like Scikit-learn
- Familiarity with data visualization tools such as Matplotlib or Seaborn
- Understanding of basic statistics, probability, and machine learning concepts (regression and classification)
- Experience with data cleaning, preprocessing, and exploratory data analysis (EDA) to understand patterns and trends
- Knowledge of ETL processes and experience with ETL tools such as Informatica; familiarity with GCP tools (e.g., Big Query, Dataflow, Cloud Composer, Cloud Storage) is an added advantage
- Familiarity with cloud platforms (Azure and/or GCP preferred)
- Understanding of distributed data processing concepts
- Experience with version control (e.g., GitHub)
- Knowledge of data warehousing concepts and data modeling
- Strong problem-solving and analytical skills