Data Engineer

iQuasar, LLC; St. Louis (MO); On-site; USD 90,000 - 120,000; Full time

Job summary

iQuasar, LLC is seeking a Data Engineer based in St. Louis to play a crucial role in the application migration team. This position involves designing, developing, and maintaining robust data solutions, ensuring data quality, and implementing effective ETL processes. The ideal candidate will have 5-8 years of experience in data engineering and must possess an active Secret clearance, along with experience in aerospace or defense projects.

You will collaborate with team members in an Agile environment to optimize data processing within cloud systems. This role may require relocation or weekly travel to St. Louis.

Qualifications

• 5-8 years of experience in data engineering, particularly in cloud environments.
• Experience with aerospace & defense or U.S. Federal manufacturing/MRO projects.
• Active Secret clearance required.

Responsibilities

• Design and develop scalable data architectures and ETL processes.
• Collaborate with the migration team on data strategies.
• Monitor and optimize data pipelines for performance.

Skills

Data architecture design

ETL processes

Data pipeline development

Data quality assurance

Agile methodology

Education

Bachelor's degree

Job description

Role Overview

The Data Engineer plays a crucial role in the application migration team by designing, developing, and maintaining robust data solutions throughout the migration process. This position is responsible for creating efficient data pipelines, ensuring data quality, and implementing ETL (Extract, Transform, Load) processes to facilitate the seamless migration and deployment of data across systems. The Data Engineer works within Agile frameworks to support the team's data-driven approach to application migration, collaborating closely with other team members to ensure data integrity and accessibility through the transition to cloud environments.

Key Responsibilities

• Design and develop scalable, efficient data architectures to support the migration process
• Create data models and schemas that align with both source and target systems
• Develop and maintain robust data pipelines for data generation, collection, and processing
• Implement real-time and batch processing pipelines as required by the migration strategy
• Design and implement ETL processes to migrate data between source and target systems
• Develop scripts and workflows for data extraction, transformation, and loading
• Develop and maintain data cleansing routines to address data inconsistencies
• Create monitoring systems to track data quality metrics throughout the migration
• Collaborate with the migration team to plan and execute data migration strategies
• Provide expertise on data-related aspects of the migration process
• Troubleshoot and resolve data-related issues during migration
• Optimize data processing and storage for improved performance in cloud environments
• Monitor and tune data pipelines for efficiency
• Implement data security measures to protect sensitive information during migration
• Ensure compliance with data protection regulations and organizational policies
• Develop and maintain data access controls and audit trails
• Create and maintain comprehensive documentation for data architectures and processes
• Work closely with data analysts, cloud engineers, and application developers
• Integrate data solutions with other components of the migrated applications
• Participate in Agile ceremonies (Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives)

Requirements

• Bachelor's degree
• Years of Experience: 5-8

Project-specific Requirements

• Active Secret clearance
• No dual citizenship
• Based in St. Louis; relocation or weekly M‑F travel to St. Louis
• Aerospace & Defense or U.S. Federal manufacturing/MRO project experience

• iQuasar, LLC is proud to be an Equal Employment Opportunity Employer. We do not discriminate based on race, religion, color, national origin, political affiliation, sex, sexual orientation, gender identity, age, marital/parental /veteran status, disability, genetic information, membership in an employee organization, retaliation, military service, other non‑merit factors, or any other applicable characteristics protected by law.