Data Engineer - ETL/ELT Pipelines for BI (Sponsorship)

BeaconFire Inc; Charlotte (NC); On-site; USD 62,000 - 80,000; Full time

Job summary

BeaconFire Inc. is seeking a data-focused software professional to join our team in Central NJ. The role involves building, maintaining, and operating data integrations, reporting pipelines, and transformation systems, with emphasis on reliability and scalability.

The candidate will collaborate with the analytics team, design scalable ETL/ELT processes, and ensure quality through automated tests and cross-functional collaboration, contributing to data-driven decision making.

Qualifications

• Master’s degree required.
• Intermediate Python experience; data processing is a plus.
• Strong written and verbal communication skills.
• Experience with relational databases (SQL Server, Oracle, MySQL, etc.).
• Ability to work independently and in a team.

Responsibilities

• Collaborate with analytics to identify reliable data solutions meeting business needs.
• Design and implement scalable ETL/ELT processes to support data demand.
• Perform data extraction, manipulation, and production from database tables.
• Build utilities and data flow frameworks to enable data movement patterns.
• Develop automated unit tests and participate in integration testing.
• Collaborate with architecture/engineering leads to ensure quality solutions and engineering best practices.

Skills

Python

Data processing

SQL databases

Communication

Teamwork

Self-motivated

Education

Master’s Degree in Computer Science/Information Technology/Data Analytics/Data Science

Job description

BeaconFire Inc. is seeking a data-focused software professional to join our team in Central NJ. The role involves building, maintaining, and operating data integrations, reporting pipelines, and transformation systems, with emphasis on reliability and scalability.

The candidate will collaborate with the analytics team, design scalable ETL/ELT processes, and ensure quality through automated tests and cross-functional collaboration, contributing to data-driven decision making.