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# Sr Data Engineer

- **Company:** Everforth Apex
- **Location:** St. Louis, MO, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, Python (Programming Language), SQL Databases, Apex Code, Cloud Platform System, Snowflake, Data Management, Data Pipelines
- **Published:** October 18, 2026
- **Apply:** https://www.dice.com/job-detail/979af212-3708-45ca-b290-8d9028b912fd

## About the Role

* Strong proficiency in SQL and Snowflake.
 * Strong background in data engineering and data warehousing.
 * Experience designing, developing, and supporting ETL/ELT processes.
 * Proficiency in Python.

Desired Skills

 * Strong analytical and problem-solving abilities.
 * Ability to design scalable and maintainable data solutions.
 * Excellent collaboration and communication skills.
 * Experience working in fast-paced, evolving technical environments.
 * Self-motivated with the ability to work independently and navigate ambiguity.

## Description

Apex Systems is seeking a Senior Data Engineer to support enterprise data platform initiatives with a focus on Snowflake-based solutions and data pipeline development. This role will be responsible for integrating data from multiple source systems, building scalable and reusable data engineering processes, and supporting modern data architecture initiatives., * Design, develop, and maintain data pipelines to load and integrate data from multiple source systems into Snowflake.

 * Translate and migrate existing data warehouse solutions to Snowflake.
 * Build scalable platforms, frameworks, and processes that enable standardized pipeline development.
 * Develop reusable patterns and best practices for data engineering solutions.
 * Support data governance and data contract implementation initiatives.
 * Contribute to the enhancement, simplification, and expansion of existing data platforms and processes.
 * Work effectively in environments with limited documentation and evolving requirements.
 * Collaborate with cross-functional teams to support data integration, transformation, and platform initiatives.