We are looking for Data Engineer - Hybrid for our client in Columbus, GA
Job Title: Data Engineer
Job Location: Columbus, GA
Job Type: Contract
Job Overview:
Pay Range: $48.00hr - $53.00hr
Requirement/Must Have:
- 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.
Responsibilities:
- 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.
Nice to Have:
- 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.
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Benefits
Our Benefits Include:
- Medical, Dental, and Vision Insurance
- 401(k) Retirement Plan
- Health Savings Account (HSA)
- Disability Insurance (Short-Term and Long-Term)
- Life and AD&D Insurance
- Paid Sick Leave (where required by applicable state or local law)
- Supplemental Insurance Plans
- Identity Theft Protection
- Pet Insurance
- Employee Wellness Programs
- Employee Assistance Program (EAP)
- Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.
About Cynet Systems
Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
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