Cordova is seeking a versatile Senior Data Engineer & Application Developer on behalf of our client. This role is designed for a technical leader who can sit at the intersection of application development and data architecture. You will be responsible for building robust applications and high-performance data pipelines while serving as a guardian of data integrity.
Beyond pure coding, this position requires a mentor and collaborator—someone who can lead a team, facilitate agile ceremonies, and provide the technical oversight necessary to ensure projects are delivered accurately and on schedule.
Disclaimer: Bachelor's Degree Required
Key Responsibilities
Applications & Data Engineering
Systems Architecture: Build and maintain high-quality applications and sophisticated data pipelines.
Data Integrity: Ensure the reliability and accuracy of data across all target structures.
Warehouse Management: Design and optimize data environments, including Data Warehouses and Data Marts.
Database Expert: Leverage a deep knowledge of relational databases to drive performance and scalability.
Technical Leadership & Strategy
Team Facilitation: Lead and facilitate collaboration among cross-functional team members to remove roadblocks.
Mentorship: Regularly guide junior developers on daily tasks, technical challenges, and career growth.
Planning & Estimation: Act as a Subject Matter Expert (SME) to assist in creating practical development plans and providing accurate project timeline estimations.
Agile Execution
Process Leadership: Actively participate in and lead Agile ceremonies, ensuring the team adheres to Scrum or Kanban methodologies.
Continuous Improvement: Advocate for secure coding practices and the constant evolution of development standards.
The Ideal Candidate
Experience & Qualifications
Education: Bachelor’s degree in Computer Science or a related technical field.
Technical Depth: Proven experience working with Data Warehouses, Data Marts, and complex relational databases.
Secure Coding: Strong foundation in secure coding practices to protect enterprise data.
Analytical Background: A background in mathematical and statistical analysis is highly preferred to support data-driven decision-making.
Core Competencies
Communication: Excellent oral and written communication skills with a strong customer-service mindset.
Interpersonal Mastery: Strong conflict resolution skills and the ability to build consensus in a team environment.
Self-Starter: The ability to move between high-level architectural planning and hands-on daily development tasks.
Data Engineer • Omaha, NE, United States
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