Data Engineer Intern - Cloud Data Platform,… at Farm Credit… · Austin

Summary: Farm Credit Bank of Texas is a wholesale bank that has been financing agriculture and rural America for over 100 years. They are seeking a Data Engineer Intern to support the Cloud Data Platform team, focusing on building and enhancing tools and utilities for data engineering, analytics, and ML/AI workflows. Responsibilities: - Assist in the design and development of data pipelines, ingestion utilities, and transformation logic on cloud data platforms (Databricks, Azure, etc) - Build small internal tools and utilities to support platform operations, developer experience, and governance automation - Assist in implementing data quality scorecard framework covering data validation, reconciliation, and quality checks - Experiment with AI‑assisted tooling, such as metadata enrichment, data quality recommendations, or intelligent monitoring prototypes - Collaborate with platform and analytics teams on proof‑of‑concepts involving ML or GenAI capabilities - Support implementation of bronze / silver / gold style data processing patterns under senior engineer guidance - Develop reusable scripts, libraries, and utilities to simplify common platform tasks - Assist with automation for monitoring, validation, data quality checks, and operational reporting - Contribute to CI/CD pipelines, configuration scripts, and deployment automation where applicable - Support development of data preparation and feature engineering utilities for ML and AI use cases - Gain exposure to data platform operations, including incident analysis, performance tuning, and cost optimization activities - Help document testing approaches and quality metrics - Create and maintain technical documentation, diagrams, and runbooks for tools and utilities developed - Present work outcomes and learnings to the platform engineering team Required Qualifications: - Strong foundation in Python and SQL - Familiarity with data engineering concepts such as ETL/ELT, data modeling, and batch & stream processing - Exposure to cloud platforms (Databricks, Azure, AWS, or GCP) and modern data tools - Detailed understanding of ML concepts such as feature engineering, training pipelines, or model inputs is a plus - Experience using Git and collaborative development workflows - Strong analytical and problem-solving skills - Curiosity and willingness to learn complex data and platform concepts - Ability to work independently on well-defined tasks while collaborating with senior engineers - Ability to collaborate and excel in complex, cross-functional teams involving data engineers, business analysts, and stakeholders - Clear written and verbal communication skills - Attention to detail and quality-focused mindset - Currently pursuing a Master's degree in Computer Science, Data Science, Software Engineering, or related field - OR recently completed a Master's degree in Computer Science or a related field and eligible to work in the U.S. under Optional Practical Training (OPT) Required Skills: Python, SQL, Data engineering, ETL, ELT, Data modeling, Batch processing, Stream processing, Cloud platforms, Databricks, Azure, AWS, GCP, Git, Machine learning, Feature engineering, Training pipelines, Analytical skills Benefits: Competitive compensation, Generous health and wellness benefits packages, Attractive hybrid workplace