Data Engineer

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows
• Support modernization of legacy data systems into cloud-based or distributed platforms
• Work with stakeholders to translate business and technical requirements into data solutions
• Build efficient, reliable, and reusable data processing components
• Ensure data quality, integrity, and consistency across systems
• Troubleshoot and resolve data pipeline issues, including schema and integration challenges
• Collaborate with cross-functional teams including engineering, analytics, and operations
• Participate in code reviews and support engineering best practices

Required Skills & Qualifications

• Experience in data engineering, ETL development, or related software engineering roles
• Strong proficiency in SQL
• Hands-on experience building or supporting data pipelines or data integration workflows
• Understanding of data structures, data modeling, and data processing concepts
• Strong problem-solving skills and ability to work through complex data issues
• Ability to work independently in a remote, contract-based environment

Preferred Skills

• Experience with ETL tools such as Informatica, Talend, Pentaho, StreamSets, or Palantir Foundry
• Experience with AWS data services (e.g., S3, Glue, Redshift, Lambda)
• Familiarity with schema evolution, data validation, and data quality frameworks
• Experience mentoring junior engineers or performing code reviews
• Exposure to Agile development environments

Preferred Experience

• Prior experience working with U.S. Federal agencies or government contractors
• Experience supporting large-scale enterprise or mission-critical data systems
• Familiarity with FAA or other regulated environments
• Ability to obtain or maintain federal security clearance