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# Data Snowflake Engineer

- **Company:** VDart, Inc.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $250,000.0
- **Contract:** Temporary to permanent
- **Skills:** Airflow, Amazon Web Services, Amazon S3, Cloud Computing, Continuous Integration, Directed Acyclic Graph (Directed Graphs), Information Engineering, Data Integrity, Extract Transform Load (ETL), Data Systems, Data Warehousing, Software Debugging, Dimensional Modeling, JSON, Python (Programming Language), Performance Tuning, SQL Stored Procedures, Parquet, Data Ingestion, Snowflake, Git, Cloudformation, Pyspark, Semi-structured Data, Information Technology, Data Management, Streamlit Framework, Terraform, Data Pipelines, Jenkins
- **Published:** September 26, 2026
- **Apply:** https://www.careerjet.com/jobad/us07a0e09c8413795a8e43bf028f14f30a

## About the Role

8+ years overall Data Engineering experience
Strong hands-on experience with Snowflake including:
o Data ingestion and transformation
o Snowflake SQL
o Complex joins and performance tuning
o Stored Procedures, Views, Tasks, and Streams
o Snowpark libraries
o Data Modeling
5+ years of Python development experience
Strong knowledge of PySpark
Hands-on experience with Apache Airflow
Hands-on experience with Streamlit
Experience with GCP
Strong understanding of data warehousing concepts, ETL/ELT, and dimensional modeling.
Experience working with large-scale structured and semi-structured datasets.
Strong analytical, debugging, and problem-solving skills.
Preferred Qualifications
Experience in Banking or Financial Services environments.
Exposure to AWS services such as S3, EMR, Redshift, or equivalent GCP services.
Experience with CI/CD, Git, Jenkins, Terraform, or CloudFormation.
Snowflake and Cloud certifications are a plus., Bachelor's or master's degree in computer science, Information Technology, Engineering, or a related field.

## Description

We are seeking a highly skilled Data Engineer with strong expertise in Snowflake, Python, PySpark, Airflow, and Streamlit to design, build, and support modern cloud-based data platforms. The ideal candidate will have experience developing scalable data pipelines, implementing Snowflake-based data solutions, and working with GCP environments., Design, develop, and maintain data ingestion, transformation, and orchestration pipelines in Snowflake.
Build and optimize Snowflake SQL queries, stored procedures, data models, and Snowpark-based solutions.
Develop scalable ETL/ELT processes using Python and PySpark.
Create and manage Airflow DAGs for workflow scheduling, monitoring, and automation.
Develop interactive dashboards and data applications using Streamlit.
Work with structured and semi-structured data formats including JSON, CSV, and Parquet.
Design and implement data quality, validation, reconciliation, and monitoring frameworks.
Integrate Snowflake solutions with AWS cloud services.
Troubleshoot production issues, optimize performance, and ensure data reliability.
Collaborate with business stakeholders, architects, and cross-functional teams to deliver data solutions., Job Description: We are seeking a highly skilled Data Engineer with strong expertise in Snowflake, Python, PySpark, Airflow, and Streamlit to design, build, and support modern cl…

 + 18 hours ago
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