Data Engineer: Build Scalable ETL/ELT Pipelines

BeaconFire Inc; New Jersey; On-site; USD 90,000 - 120,000; Full time

Job summary

BeaconFire Inc. in New Jersey is seeking a data engineer with a Master’s degree to design scalable ETL/ELT processes and collaborate with analytics teams to meet business needs.

The role requires intermediate Python, experience with relational databases (SQL Server, Oracle, MySQL), strong communication, and the ability to work independently or in a team to deliver reliable data solutions. You will build tests, diagnose performance issues, and contribute to engineering best practices.

Qualifications

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

Responsibilities

• Collaborate with analytics team to find 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, user-defined functions, and frameworks to enable data flow patterns.
• Incorporate automated unit tests and participate in integration testing.
• Work with teams to resolve operational and performance issues.
• Collaborate with architecture/engineering leads to ensure quality solutions and best practices.

Skills

Python (intermediate)

Data processing

SQL

Team collaboration

Communication

Education

Master's degree in Computer Science/IT/Data Analytics

Tools

SQL Server

Oracle

MySQL

Job description

BeaconFire Inc. in New Jersey is seeking a data engineer with a Master’s degree to design scalable ETL/ELT processes and collaborate with analytics teams to meet business needs.

The role requires intermediate Python, experience with relational databases (SQL Server, Oracle, MySQL), strong communication, and the ability to work independently or in a team to deliver reliable data solutions. You will build tests, diagnose performance issues, and contribute to engineering best practices.