> Markdown version of [/jobs/ext/4561331-senior-data-engineer-spark-snowflake-python](https://www.wearedevelopers.com/jobs/ext/4561331-senior-data-engineer-spark-snowflake-python). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Data Engineer - Spark / Snowflake / Python

- **Company:** Wise Skulls llc
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Visualization, Database Queries, Python (Programming Language), Meta-Data Management, Performance Tuning, SQL Databases, Workflow Management Systems, Data Processing, Google Cloud, Application Enhancement Tool, Large Language Models, Snowflake, Apache Spark, Agentic-AI, Git, Pyspark, Data Analytics, Model Context Protocol, Data Pipelines
- **Published:** November 4, 2026
- **Apply:** https://www.dice.com/job-detail/2ab30ea7-a006-49e8-add7-aeabc9f084ce

## About the Role

* 5-8 years of experience in Data Engineering.
 * Strong hands-on experience with Apache Spark and PySpark.
 * Solid experience with Snowflake, including data loading and transformation.
 * Strong SQL skills and basic-to-intermediate Python programming.
 * Experience developing and maintaining ETL/ELT data pipelines.
 * Understanding of data processing, data modeling, and performance optimization.
 * Exposure to AI-powered tools for data visualization and dashboard development.
 * Basic awareness of AI agents, LLM tools, and Model Context Protocol (MCP).

Preferred Skills

 * Experience with Apache Airflow or other workflow orchestration tools.
 * Cloud experience with AWS, Azure, or Google Cloud Platform.
 * Familiarity with Git and CI/CD pipelines.
 * Knowledge of data governance and data cataloging.

## Description

We are looking for an experienced Senior Data Engineer with strong hands-on expertise in Apache Spark, PySpark, Snowflake, SQL, and Python. The ideal candidate will be responsible for developing, optimizing, and maintaining scalable data pipelines and working with modern data engineering technologies., * Design, develop, and maintain scalable data pipelines using Spark and Snowflake.

 * Build and optimize ETL/ELT workflows using Python and SQL.
 * Perform data transformations, integration, and quality checks.
 * Optimize queries and data processing workflows for performance.
 * Collaborate with cross-functional teams to support data analytics and reporting.
 * Explore and leverage AI-powered tools and emerging technologies in data engineering.