Data Engineer & Scientist: Scalable ETL & Data Solutions

BeaconFire Inc; New Jersey; On-site; USD 85,000 - 120,000; Full time

Job summary

BeaconFire Inc. seeks a data analytics professional to collaborate with the analytics team, design scalable ETL/ELT processes, and perform data extraction from database tables.

The role emphasizes building data utilities and automated tests to ensure data quality and performance. Candidates should have a Master’s degree in CS/IT/Data Analytics or related discipline, strong Python skills, and experience with SQL Server, Oracle, or MySQL.

Qualifications

• Master’s degree required in CS/IT/Data Analytics/Data Science or related field.
• Experience with data processing and ETL concepts preferred.
• Strong written and verbal communication skills and ability to work independently and in a team.
• Proficiency with relational databases and SQL needed.

Responsibilities

• Collaborate with analytics to deliver reliable data solutions meeting business needs.
• Design and implement scalable ETL or ELT processes to support data demand.
• Perform data extraction, manipulation, and production from database tables.
• Build utilities, UDFs, and frameworks to improve data flow patterns.
• Develop automated unit tests and participate in integration testing.
• Address operational and performance issues with teams.

Skills

Python

Data processing

Communication

Teamwork

Independent work

Education

Master’s Degree in Computer Science/Information Technology, Data Analytics/Data Science, or related discipline

Tools

SQL Server

Oracle

MySQL

Job description

BeaconFire Inc. seeks a data analytics professional to collaborate with the analytics team, design scalable ETL/ELT processes, and perform data extraction from database tables.

The role emphasizes building data utilities and automated tests to ensure data quality and performance. Candidates should have a Master’s degree in CS/IT/Data Analytics or related discipline, strong Python skills, and experience with SQL Server, Oracle, or MySQL.