Data Engineer

Job Description

Job Description

Work Now Staffing is looking to hire an Data Engineer for our Orlando, FL client.

Applicants must be authorized to work in the United States for any employer. Neither the staffing agency nor the client will provide employment-visa sponsorship or support a change-of-employer petition for this position, now or in the future.

Pay: $100,000 per year

About This Opportunity:

We are seeking a skilled Data Engineer to join our growing technology team. This is an exciting opportunity to design and build robust data infrastructure that powers critical business decisions and drives organizational success. You will work with modern data technologies and collaborate with cross-functional teams to create scalable, efficient data solutions.

Job Summary:

The Data Engineer will be responsible for designing, developing, and maintaining data pipelines and infrastructure that support analytics, reporting, and business intelligence initiatives. This role focuses on ensuring data quality, reliability, and accessibility across the organization while working with large datasets and complex data systems.

Key Responsibilities:

• Design and develop data pipelines and ETL (Extract, Transform, Load) processes
• Build and maintain data warehouses and data lakes
• Ensure data quality, integrity, and security across systems
• Collaborate with data analysts, scientists, and business stakeholders to understand data requirements
• Document data architecture, processes, and system designs

Qualifications  Required:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field (or equivalent professional experience)
• 2+ years in data engineering or analytics engineering
• Proficiency in programming languages such as Python
• Strong SQL and relational database management skills
• Experience designing and implementing data pipelines
• Solid understanding of data warehousing concepts and architectures
• Excellent problem-solving and analytical skills
• Strong communication and teamwork abilities

Preferred:

• Experience with cloud data platforms ( Azure)
• Power BI and Dax
• Multi entity Financial Data
• Exposure to Fabric or a comparable cloud data platform, and comfort working in source control