Junior Data Engineer — ETL Pipelines & Python

BeaconFire Inc; California (MO); On-site; USD 62,000 - 80,000; Full time

Benefits offered by this job

Visa sponsorship available

Job summary

BeaconFire is seeking a data-focused professional to join our analytics team in Central NJ. You will help build, maintain, and operate integrations, reporting pipelines, and data transformation systems to meet business needs.

Ideal candidates have a Master’s degree, solid Python skills, and experience with ETL/ELT, SQL databases, and strong communication. You’ll collaborate across teams to deliver scalable data solutions and ensure quality engineering practices.

Qualifications

• Master’s degree in Computer Science/Information Technology, Data Analytics/Data Science, or related discipline.
• Intermediate Python proficiency; data processing experience is a plus (NumPy, Pandas).
• Experience with relational databases (SQL Server, Oracle, MySQL, etc.).
• Strong written and verbal communication skills.
• Ability to work independently and in a team.

Responsibilities

• Collaborate with analytics to design reliable data solutions.
• Design and implement scalable ETL/ELT processes.
• Perform data extraction, manipulation, and production from databases.
• Build utilities and data flow frameworks.
• Build and run automated unit tests; participate in integration testing.
• Address operational and performance issues with teams.
• Work with leads to ensure quality solutions and engineering best practices.

Skills

Python

Data processing

Communication

Teamwork

ETL

Education

Master's degree

Tools

SQL Server

Oracle

MySQL

Job description

BeaconFire is seeking a data-focused professional to join our analytics team in Central NJ. You will help build, maintain, and operate integrations, reporting pipelines, and data transformation systems to meet business needs.

Ideal candidates have a Master’s degree, solid Python skills, and experience with ETL/ELT, SQL databases, and strong communication. You’ll collaborate across teams to deliver scalable data solutions and ensure quality engineering practices.