Senior/Mid Level Data Engineer - Active TS is required (ONSITE - 100%)

Data Engineer (Senior / Mid-Level) – ETL / Cloud / AWS – Top Secret Clearance

Visual Soft, Inc is seeking qualified candidates to work on our efforts with a Prime for their end customer, a federal agency in Huntsville, AL. The job is fully onsite in Huntsville, Alabama and requires an active Top Secret clearance.

Job Title: Data Engineer (Senior / Mid-Level) – ETL / Cloud / AWS – Top Secret Clearance

Location: Huntsville, Alabama (100% Onsite)

Clearance Required: Active Top Secret Clearance (U.S. Citizenship Required)

Employment Type: Full-Time / Permanent/1099 Consultant

Education: Bachelor's Degree (B.S.) in Computer Science, Information Systems, Engineering, or related field

Experience:

• Senior: 8+ years of hands-on data engineering experience
• Mid-Level: 5+ years of hands-on data engineering experience

Job Description

We are seeking Data Engineers (Senior and Mid-Level) to support secure, mission-critical data environments within a classified cloud infrastructure. The ideal candidates will have strong experience with ETL development, data migration, Java-based data pipelines, and relational/NoSQL databases (Oracle, PostgreSQL, MongoDB), along with exposure to AWS cloud services and Agile/Scrum methodologies.

Key Responsibilities

• 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

• Bachelor's degree in Computer Science, Engineering, or related technical field.
• 5+ (Mid) or 8+ (Senior) years of experience in data engineering or database development.
• Strong hands-on experience with ETL tools (e.g., Informatica, Talend, Pentaho, AWS Glue, or custom Java ETL frameworks).
• Proficiency in SQL and at least one major RDBMS (Oracle or PostgreSQL).
• Experience with data migration projects and data quality validation.
• Proficient in Java or Python for data processing and automation.
• Experience working with cloud technologies, preferably AWS (RDS, S3, Lambda, Redshift, Glue).
• Working knowledge of Linux/Unix environments and shell scripting.
• Experience in an Agile/Scrum development environment.
• Excellent problem-solving, analytical, and communication skills.