Data Engineer /Data Architect with AI

Node.Digital • Herndon, VA

3h

About The Position

Node is currently seeking a motivated, career and customer-oriented Senior Data Engineer /Data Architect to begin an exciting and challenging career with our large Enterprise Application Support Program on one of our project delivery teams.
Job Responsibilities
· Design and implement effective database structures and models to store, retrieve, and analyze data.
· Develop, construct, test, and maintain scalable data pipelines to collect, process, and integrate data from various sources.
· Implement ETL (Extract, Transform, Load) processes to ensure data consistency and quality.
· Integrate data from different sources, ensuring consistency, reliability, and accuracy.
· Develop data APIs and automation scripts to streamline data integration and workflows.
· Monitor and optimize database and data processing system performance.
· Conduct performance tuning and troubleshoot data issues.

Requirements

• Bachelor's degree in Computer Science, Management Information Systems, or relevant discipline (4 years of equivalent experience)
• 8+ years' experience with:
• Proven experience as a Data Architect, Data Engineer, or in a similar role.
• Extensive experience in designing and implementing data architectures.
• Hands-on experience in developing and managing data pipelines and ETL processes.
• Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, SQL Server).
• Experience with big data technologies (e.g., Hadoop, Spark) and ETL tools.
• Strong programming skills in languages such as Python, Java, or Scala.

Responsibilities

• Design and implement effective database structures and models to store, retrieve, and analyze data.
• Develop, construct, test, and maintain scalable data pipelines to collect, process, and integrate data from various sources.
• Implement ETL (Extract, Transform, Load) processes to ensure data consistency and quality.
• Integrate data from different sources, ensuring consistency, reliability, and accuracy.
• Develop data APIs and automation scripts to streamline data integration and workflows.
• Monitor and optimize database and data processing system performance.
• Conduct performance tuning and troubleshoot data issues.

Benefits

• Medical
• Dental
• Vision
• Basic Life
• Health Saving Account
• 401K
• Three weeks of PTO
• 10 Paid Holidays
• Pre-Approved Online Training

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level