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Junior Data Engineer (ETL/ELT, Data Pipelines, and Reporting)

BeaconFire Inc. • United State
Visa Sponsorship
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BeaconFire is seeking a Junior Data Engineer to build, maintain, and operate data integrations, reporting pipelines, and data transformation systems. The role involves collaborating with analytics teams to design scalable ETL/ELT processes, performing data extraction, and supporting data flow patterns. Candidates should have a Master's degree in a related field, intermediate Python skills, experience with relational databases, and strong communication abilities.

Key Highlights
Build, maintain, and operate data integrations, reporting pipelines, and data transformation systems
Design and implement scalable ETL/ELT processes to support business data needs
Requires a Master's degree in a related field, intermediate Python, and relational database experience
Salary range of $62,000-$80,000/year with visa sponsorship available for eligible candidates
Key Responsibilities
Collaborate with the analytics team to identify reliable data solutions that meet business needs.
Design and implement scalable ETL or ELT processes to support business demand for data.
Perform data extraction, manipulation, and production from database tables.
Build utilities, user-defined functions, and frameworks to enable data flow patterns.
Build and incorporate automated unit tests, and participate in integration testing efforts.
Work with teams to resolve operational and 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.
Technical Skills Required
Python SQL ETL/ELT
Benefits & Perks
Annual salary of $62,000-$80,000
Visa sponsorship available for eligible candidates
Nice to Have
Data processing experience using tools such as NumPy and Pandas

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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