Data Engineer (Mid & Senior)

Hruckus LLC-posted 16 days ago
Full-time • Mid Level
Onsite • Huntsville, AL
11-50 employees
Resume
Match Score
Upload and Match ResumeTrack Jobs with Teal

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.

  • 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.
  • Active TOP SECRET clearance
  • Bachelor's degree in Computer Science, IT, or related field
  • Mid-Level: 5+ years of professional experience in data engineering or database development.
  • Senior-Level: 8+ years of professional 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.
  • Paid Time Off (PTO): 3 weeks of PTO (including sick leave). Unused PTO is paid out at the end of the year.
  • Holidays: 2 floating holidays and eight public holidays per year.
  • Health & Dental Insurance: The company covers 50% of employee health and dental insurance (dependents may be added at an extra cost). Coverage becomes effective after 30 days.
  • Life Insurance: Standard Short-Term Disability (STD), Long-Term Disability (LTD), and life insurance at no cost to full-time employees.
  • 401(k) Program: Eligible after 90 days with a 4% company match and immediate vesting.
  • Profit Sharing: Employees can participate in the company's profit-sharing program without requiring personal contributions.
  • Commuting and Parking: No reimbursement for commuting or parking expenses.
Track Jobs with Teal

Job Search Resources

•
AI Resume Builder
•
Senior Data Engineer Resume Examples
•
Senior Data Engineer Cover Letter Examples

Tools

Career Hubs

Guides

Company

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service