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# Snowflake Data Engineer

- **Company:** PROLIM Global Corporation
- **Location:** Austin, TX, United States
- **Experience:** Starter
- **Contract:** Internship / Graduate position
- **Skills:** Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Programming, Databases, Information Engineering, Extract Transform Load (ETL), Data Structures, Data Warehousing, Database Queries, Dimensional Modeling, Python (Programming Language), Object-Oriented Software Development, Performance Tuning, Cloud Services, SQL Databases, Talend, Data Processing, Scripting, Data Ingestion, Azure Data Factory, Snowflake, Pyspark, AWS Glue, Star Schema, Data Pipelines
- **Published:** November 3, 2026
- **Apply:** https://www.careerbuilder.com/job-details/snowflake-data-engineer-austin-tx--36490f58-31b7-4d13-a8a2-042e72f73492

## About the Role

Snowflake Schema, Snowflake Schema, Database Technology, Data Warehousing, SQL (Structured Query Language), Performance Tuning/Optimization, Python Programming/Scripting Language, Data Processing, Data Structures, Error Handling, * Snowflake Certification

 * Must possess at least one valid Snowflake certification (e.g., SnowPro Core or equivalent).
 * Candidate should be able to demonstrate understanding of Snowflake architecture, virtual warehouses, databases, schemas, stages, and data loading concepts.
 * SQL Proficiency
 * Strong understanding of SQL fundamentals.
 * Hands-on experience writing complex queries involving joins, subqueries, CTEs, window functions, aggregations, and performance optimization.
 * Ability to solve practical SQL-based scenarios during interviews.
 * Python / PySpark Skills
 * Good working knowledge of Python programming.
 * Familiarity with data processing using PySpark.
 * Understanding of data structures, functions, error handling, and basic object-oriented programming concepts.
 * Project Experience
 * Must have completed at least 1-2 academic, internship, personal, or training projects related to data engineering, analytics, or cloud data platforms.
 * Should be able to clearly explain:
 * Business use case
 * Architecture/design
 * Technologies used
 * Individual contribution
 * Challenges faced and solutions implemented

Preferred (Good-to-Have) Skills

 * ETL/ELT Tool Exposure
 * Exposure to one or more ETL/ELT tools such as:
 * Fivetran
 * Hevo Data
 * Informatica
 * Talend
 * Azure Data Factory (ADF)
 * AWS Glue
 * Basic understanding of data ingestion and pipeline concepts.
 * Cloud & Data Warehousing Fundamentals
 * Basic understanding of cloud platforms (AWS, Azure, or GCP).
 * Familiarity with data warehousing concepts, dimensional modeling, and data pipelines.

Behavioral & Problem-Solving Skills

 * Analytical and Problem-Solving Ability
 * Strong logical thinking and analytical mindset.
 * Ability to break down problems and propose practical solutions.
 * Comfortable working with data and troubleshooting issues.
 * Communication Skills
 * Good verbal and written communication skills.
 * Ability to explain technical concepts clearly and confidently.
 * Should be able to participate effectively in client-facing or team discussions.
 * Learning Attitude
 * Demonstrates eagerness to learn new technologies and adapt to changing project requirements.
 * Shows initiative in completing certifications, hands-on labs, and self-learning activities.