LOCATION : JERSEY CITY AND CHARLOTTE, NC

Job Description: Database Engineer

Key Responsibilities

• Develop, construct, test and maintain architectures such as databases and large-scale processing systems
• Design and implement data models, database structures, and data management systems
• Translate complex functional and technical requirements into detailed design
• Install and update data management tools, ensuring the system is running smoothly
• Implement data flow to connect operational systems, data for analytics and business intelligence (BI) systems
• Ensure architecture supports business requirements
• Collaborate with data scientists and architects on several projects
• Develop set processes for data mining, data modeling, and data production
• Resolve issues that arise in data management systems and improve data reliability, efficiency, and quality
• Maintain data security and privacy, adhering to all regulatory compliances

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Proven experience in developing and implementing AI/ML solutions.
• Strong understanding of AI platforms and technologies.
• Good presentation and communication skills.
• Strong problem-solving and analytical skills.
• Ability to work collaboratively in a team environment.
• Up-to-date knowledge of industry trends and advancements in AI/ML and Data Engineering.

Preferred Skills

• Knowledge of cloud-based AI services (e.g., AWS, Google Cloud, Azure).
• Experience with data visualization tools.

Job Types: Full-time, Contract
Pay: $55.00 - $60.00 per hour
Expected hours: 40 per week

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Paid time off

Schedule:

• 8 hour shift

Security clearance:

• Confidential (Preferred)

Ability to Commute:

• Charlotte, NC 28217 (Required)

Ability to Relocate:

• Charlotte, NC 28217: Relocate before starting work (Required)

Work Location: In perso

• Develop, construct, test and maintain architectures such as databases and large-scale processing systems
• Design and implement data models, database structures, and data management systems
• Translate complex functional and technical requirements into detailed design
• Install and update data management tools, ensuring the system is running smoothly
• Implement data flow to connect operational systems, data for analytics and business intelligence (BI) systems
• Ensure architecture supports business requirements
• Collaborate with data scientists and architects on several projects
• Develop set processes for data mining, data modeling, and data production
• Resolve issues that arise in data management systems and improve data reliability, efficiency, and quality
• Maintain data security and privacy, adhering to all regulatory compliance