Data Engineer

Responsibilities

• Collaborate with analytics teams to deliver reliable, scalable data solutions
• Design and implement ETL/ELT processes to meet business data demands
• Perform data extraction, manipulation, and production from database tables
• Build utilities, user-defined functions, and frameworks to optimize data flows
• Create automated unit tests and participate in integration testing
• Troubleshoot and resolve operational and performance-related issues
• Work with architecture and engineering teams to implement high-quality solutions and follow best practices

Preferred

• Experience with NumPy , Pandas , etc. is a plus!

Benefits

• Visa sponsorship is available for eligible candidates.
• Visa sponsorship available for eligible candidates
• Opportunity to work on Backend + Generative AI projects
• Exposure to modern AI and enterprise technologies
• Career growth and technical development opportunities
• BeaconFire is a leading technology consulting and professional services organization.
• East Windsor, Connecticut, USA
• https://beaconfireinc.com
• Distribution of Different Job Fields Receiving Sponsorship
• Represents job field similar to this job
• Engineering and Development
• Management and Executive
• Marketing
• Human Resources
• Customer Service and Support
• Accounting and Finance
• Creatives and Design
• Legal and Compliance
• Trends of Total Sponsorships
• *2026
• (121)
• 2025
• 2024
• (63)
• 2023
• (34)
• 2022
• (40)
• 2021

Qualifications

• self-motivated
• strong communicators
• Passion for data and a strong desire to learn and grow
• Master's Degree in Computer Science , Information Technology , Data Analytics , Data Science , or a related field
• Intermediate Python skills
• Experience with relational databases like SQL Server , Oracle , or MySQL
• Strong written and verbal communication skills
• Ability to work independently and collaboratively within a team
• Self-motivated
• Strong communicators
• Experience with NumPy , Pandas , etc. is a plus!

Required skills

• MySQL, NumPy, Oracle, Pandas, Python, SQL Server

Preferred skills

• Experience with NumPy , Pandas , etc. is a plus!

Experience

• Entry level