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# Data Engineer

- **Company:** INCEED
- **Location:** Oklahoma City, OK, United States
- **Experience:** Expert
- **Salary:** $100,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, ARM Architecture, Microsoft Azure, Data as a Services, Information Engineering, Data Infrastructure, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Warehousing, DevOps, Python (Programming Language), Microsoft SQL Server, Windows PowerShell, Power BI, SQL Databases, SQL Server Integration Services, Data Streaming, Tableau (Software), Scripting, Data Storage Management, Sql Optimization, Large Language Models, Snowflake, Database Performance, Data Pipelines
- **Published:** October 12, 2026
- **Apply:** https://www.dice.com/job-detail/a622f1e8-8d42-4ab3-8d75-15c1c468a0d9

## About the Role

* 5+ years of hands-on data engineering experience (7+ years preferred)
 * Extensive, hands-on, production experience with Snowflake (required)
 * Extensive, hands-on, production experience with Matillion (required)
 * Strong data warehousing expertise, including schema design, data modeling, and best practices
 * Advanced SQL skills, including experience with Microsoft SQL Server
 * Ability to understand and work within legacy SQL Server / SSIS-based data warehouse environments
 * Experience with business intelligence tools like Power BI or Tableau

Nice to Have Skills & Experience:

 * Experience with Python or other scripting languages (PowerShell, JavaScript, etc.)
 * Knowledge of Azure cloud architecture and data services
 * Experience with APIs, data integrations, or data streaming
 * Experience with Agile methodologies and DevOps practices
 * Use of LLMs in Snowflake Cortex for AI-powered insights

## Description

This is an exciting opportunity to be a key contributor in developing, optimizing, and maintaining the data infrastructure that supports analytics and business intelligence initiatives. You'll collaborate with various teams to design scalable data pipelines, integrate data sources, and ensure high-quality data availability. This role is essential in driving operational efficiencies and business insights across the organization., * Design and maintain ETL/ELT data pipelines using Snowflake and Matillion

 * Optimize database performance and ensure efficient data storage
 * Collaborate with business units to understand data requirements
 * Ensure data integrity and security through best practices
 * Support implementation of data models for business intelligence
 * Develop and maintain documentation for data processes
 * Monitor and troubleshoot data pipeline issues
 * Stay updated on emerging data technologies
 * Support integration efforts between structured and unstructured data sources
 * Develop scripts and queries with Python, SQL, and PowerShell