Junior Data Engineer (ETL/ELT Pipeline Development)

BeaconFire Inc. • United State

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AI Summary

Join BeaconFire as a Junior Data Engineer to design, build, and maintain scalable ETL/ELT pipelines, ensuring seamless data integration and transformation. Collaborate with analytics teams to solve business challenges while leveraging Python, SQL, and data processing frameworks. Requires a Master’s degree in CS/IT or related field, intermediate Python, and relational database experience.

Key Highlights

Build and maintain scalable ETL/ELT processes for business data demands

Collaborate with analytics teams to deliver reliable data solutions

Automate testing and ensure adherence to engineering best practices

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Key Responsibilities

Collaborate with analytics teams to design and implement data solutions addressing business needs

Design and execute scalable ETL/ELT processes to support data-driven decision-making

Extract, manipulate, and produce data from relational databases for business consumption

Develop utilities, user-defined functions, and frameworks to optimize data flow patterns

Integrate automated unit tests and participate in broader integration testing efforts

Troubleshoot and resolve operational and performance issues in data systems

Ensure alignment with engineering best practices and quality standards

Technical Skills Required

Python SQL Data Processing (ETL/ELT)

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Benefits & Perks

$62,000 – $80,000 annual compensation

Visa sponsorship available

Equal employment opportunities

Job Description

Junior Data Engineer

DESCRIPTION:

BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence; looking for candidates who are good communicators and self-motivated. You will play a key role in building, maintaining, and operating integrations, reporting pipelines, and data transformation systems.

Qualifications:

● 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.)

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