Senior/Mid Level Data Engineer - Active TS is a MUST (ONSITE - 100%)
On-siteHuntsville, Alabama, United States
Job Summary
Design, develop, and maintain ETL workflows to extract, transform, and load large-scale structured and unstructured datasets. Develop data migration solutions between legacy and modern systems using SQL, Java, and cloud-native tools, while implementing integration frameworks leveraging AWS services like Glue, Lambda, S3, and Redshift. Maintain and enhance pipelines for real-time and batch processing, troubleshoot issues across on-premises and cloud environments, and support data quality, metadata management, and governance activities. Participate in Agile/Scrum sprints, contributing to design, code reviews, and documentation. Requires active Top Secret clearance and full-time onsite work in Huntsville, AL.
Required Qualifications
- Active Top Secret Clearance
- U.S. Citizenship
- Bachelor's Degree (B.S.) in Computer Science, Information Systems, Engineering, or related field
- 8+ years of hands-on data engineering experience (Senior)
- 5+ years of hands-on data engineering experience (Mid-Level)
- Strong experience with ETL development
- Data migration experience
- Java-based data pipelines experience
- Relational/NoSQL databases experience (Oracle, PostgreSQL, MongoDB)
- AWS cloud services exposure
- Agile/Scrum methodologies exposure
- Design, develop, and maintain ETL workflows to extract, transform, and load large-scale structured and unstructured datasets
- Develop data migration solutions between legacy and modern systems using SQL, Java, and cloud-native tools
- Implement data integration frameworks leveraging AWS services such as Glue, Lambda, S3, RDS, Redshift, and Kinesis
- Develop automation scripts using Python, Shell, or Bash for deployment, data validation, and maintenance tasks
- Maintain and enhance data pipelines for real-time and batch data processing
- Support data quality, metadata management, and governance activities
- Participate in Agile/Scrum sprints, contributing to design, code reviews, testing, and documentation
- Troubleshoot and resolve data-related issues across on-premises and AWS environments
Desired Qualifications
- Informatica, Talend, Pentaho, AWS Glue, or custom Java ETL frameworks
- SQL and at least one major RDBMS (Oracle or PostgreSQL)
- Data quality validation
- Java or Python for data processing and automation
- Cloud technologies, preferably AWS (RDS, S3, Lambda, Redshift, Glue)
- Linux/Unix environments and shell scripting
- Agile/Scrum development environment
- Excellent problem-solving, analytical, and communication skills
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