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# Data Engineer

- **Company:** CYNET SYSTEMS INC.
- **Location:** Columbus, GA, United States
- **Salary:** $99,840.0 - $110,240.0
- **Contract:** Permanent contract
- **Skills:** Query Performance, Agile Methodology, Artificial Intelligence, Big Data, Software Quality, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Mining, Data Systems, Data Warehousing, Programming Tools, Python (Programming Language), PostgreSQL, Performance Tuning, Query Optimization, Cloud Services, Shell Script, Software Deployment, PL-SQL, SQL Databases, Cloud Platform System, GitHub Copilot, Snowflake, Database Optimization, Generative AI, Git, Amazon Relational Database Service, Pyspark, Information Technology, Bitbucket, Virtual Agents, Data Pipelines, Databricks
- **Published:** August 14, 2026
- **Apply:** https://www.dice.com/job-detail/805a7067-cd54-4a77-b705-eee9606788ac

## About the Role

* Strong experience in ETL development and data engineering.
 * Hands-on experience with SQL, Python, and PySpark.
 * Experience in data warehousing and database performance tuning.
 * Knowledge of cloud-based data platforms and modern data engineering practices.
 * Strong analytical, troubleshooting, and problem-solving skills.
 * Experience with SQL & PL/SQL Development.
 * Experience with Python Programming and PySpark.
 * Knowledge of ETL Development and Data Integration.
 * Understanding of Data Warehousing Concepts and Development.
 * Experience with Query Performance Tuning and Optimization.
 * Experience with Bitbucket/Git Version Control.
 * Experience leveraging AI tools such as GitHub Copilot and Windsurf., * Experience with Databricks and Snowflake.
 * Exposure to AI Agent development and Generative AI technologies.
 * Experience working in Agile development environments.
 * Knowledge of AWS cloud services and PostgreSQL database administration.
 * Experience with Shell Scripting.

Skills:

 * SQL.
 * PL/SQL.
 * Python.
 * PySpark.
 * ETL.
 * Data Warehousing.
 * Query Optimization.
 * Bitbucket.
 * Git.
 * GitHub Copilot.
 * Windsurf.
 * Databricks.
 * Snowflake.
 * PostgreSQL.
 * AWS RDS.
 * AI Agents.
 * Shell Scripting.

Qualification And Education:

 * Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.

## Description

* Design, develop, test, and maintain ETL/data pipeline solutions.
 * Build scalable data processing workflows using Python and PySpark.
 * Develop and optimize SQL/PLSQL scripts for data extraction, transformation, and loading.
 * Design and maintain data warehouse architectures and data models.
 * Perform performance tuning and query optimization for large datasets.
 * Work with Databricks, Snowflake, and PostgreSQL environments.
 * Manage source code repositories using Bitbucket and follow CI/CD best practices.
 * Leverage AI-powered development tools to improve productivity and code quality.
 * Collaborate with business stakeholders, data analysts, and cross-functional teams to deliver data solutions.
 * Create technical documentation and support production deployments.


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