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

VISUAL SOFT, INC; Huntsville (AL); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

PTO and holidays

Health and dental insurance (employee

401k with company match

Profit sharing

Job summary

VISUAL SOFT, INC is seeking Senior and Mid-Level Data Engineers to support mission-critical data environments within a secure classified cloud infrastructure in Huntsville, AL. Roles require an active Top Secret clearance and 100% onsite work.

Ideal candidates will have ETL development, data migration, Java-based data pipelines, and experience with Oracle, PostgreSQL, MongoDB, plus exposure to AWS services and Agile/Scrum methodologies.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related technical field.
• 8+ years (Senior) or 5+ years (Mid-Level) of hands-on data engineering experience.
• Active Top Secret Clearance (U.S. Citizenship Required).

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.

Skills

ETL development

AWS Cloud

SQL

Java

Python

NoSQL

Linux/Unix

Agile/Scrum

Data pipelines

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering

Tools

Informatica

Talend

Pentaho

AWS Glue

AWS Lambda

AWS S3

AWS RDS/Redshift

Oracle

PostgreSQL

MongoDB

Job description

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

• Information Technology

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.

These roles are fully onsite in Huntsville, AL and require an active Top Secret clearance.

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.

Our standard benefits include

• Our standard benefitsinclude 3 weeks of Paid time off (PTO that includes sick leave).
• Any unused PTO will be issued as a check at the end of an employee's anniversary with us.
• we also provide 2 floating and 8 public holidays.
• Floating and holidays expire at the end of every year of service of an employee.
• In addition, company will cover 50% of health and dental insurances only for all full time employees, however, dependents can be added at extra cost.
• Employee's health and dental coverage becomes effective after 30 days or first of the month after an employee completes initial 30 working days, we cover 50% for the employee's health and dental insurances.
• An employee has to finish all of your paper work for health and dental in the first 30 days of your employment with us.
• We provide STD, LTD and one time salary equivalent of life insurance at NO cost to all full time employees.
• All full time employees or w-2 employees with no benefits will be eligible to participate in company's 401k program after 90 days of employment with a company match of 4%, immediate vesting.
• In addition, all w-2 employees are eligible to be part of company's profit sharing, no employee contributions required.