Data Engineer; Mid and Senior Secret Clearance

Role Summary

• Build and operate secure, mission‑critical data solutions in a classified cloud environment.
• Design and maintain ETL pipelines, data integrations, and migrations across on‑premises and AWS.
• Ensure data quality, reliability, and governance for large‑scale datasets.

• Design, develop, and maintain ETL workflows for structured and unstructured data.
• Build data migration solutions between legacy and modern systems using SQL, Java, and cloud‑native tools.
• Implement data integration frameworks on AWS using Glue, Lambda, S3, RDS, Redshift, and Kinesis.
• Develop automation scripts in Python and Shell/Bash for deployment, validation, and maintenance.
• Maintain and optimize real‑time and batch pipelines for performance and reliability.
• Support data quality, metadata management, and governance processes.
• Troubleshoot and resolve data issues across on‑premises and AWS environments.
• Participate in Agile/Scrum sprints, contributing to design, coding, reviews, testing, and documentation.

• Active Top Secret security clearance.
• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience.
• Mid‑level:
  Five or more years in data engineering or database development.
• Senior‑level:
  Eight or more years in data engineering or database development.
• Hands‑on experience with ETL tools such as Informatica, Talend, Pentaho, AWS Glue, or custom Java ETL.
• Proficiency in SQL and one major RDBMS such as Oracle or PostgreSQL.
• Experience with data migration and data quality validation.
• Proficiency in Java or Python for data processing and automation.
• Experience with AWS services such as RDS, S3, Lambda, Redshift, and Glue.
• Working knowledge of Linux or Unix and shell scripting.
• Experience in an Agile or Scrum development environment.
• Excellent problem‑solving, analytical, and communication skills.

• Experience with No
  
  SQL databases such as MongoDB.
• Familiarity with streaming and event‑driven data patterns using Kinesis or similar.
• Experience in classified or regulated environments with secure development practices.

• Detail‑oriented with strong ownership and follow‑through in secure environments.
• Clear communicator who documents pipelines, schemas, and runbooks.
• Collaborative mindset with cross‑functional teams including application, Dev Ops, and security.
• Organized and proactive in managing priorities and deadlines.

• 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.