Data Engineer/Data Scientist

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

Requirements:

• Passion for data and a deep desire to learn.
• Master’s Degree in Computer Science/Information Technology, Data Analytics/Data Science, or related discipline.
• Intermediate Python. Experience in data processing is a plus. (Numpy, Pandas, etc)
• Experience with relational databases (SQL Server, Oracle, MySQL, etc.)
• Strong written and verbal communication skills.
• Ability to work both independently and as part of a team. Responsibilities:

Responsibilities:

• Collaborate with the analytics team to find reliable data solutions to meet the business needs.
• Design and implement scalable ETL or ELT processes to support the business demand for data.
• Perform dataextraction, manipulation, and production from database tables.
• Buildutilities, user-defined functions, and frameworks to better enable data flow patterns.
• Build and incorporate automated unit tests, participate in integration testing efforts.
• Work with teams toresolve operational & performance issues.
• Work with architecture/engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and adhered to.