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Data Engineer

BeaconFire Inc. • United State
Visa Sponsorship
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BeaconFire is seeking a Data Engineer to build and maintain integrations, reporting pipelines, and data transformation systems. The role involves designing scalable ETL/ELT processes, performing data extraction and manipulation, and collaborating with analytics teams. Candidates must hold a Master's degree in a related field and possess intermediate Python and SQL skills.

Key Highlights
Design and implement scalable ETL or ELT processes
Master's Degree in Computer Science, IT, or Data Science required
Intermediate Python and experience with relational databases
Key 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 data extraction, manipulation, and production from database tables
Build utilities, 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 to resolve 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
Technical Skills Required
Python SQL ETL
Benefits & Perks
Work visa sponsorship available
Annual salary between $62,000 and $80,000
Nice to Have
Experience in data processing (Numpy, Pandas, etc.)

Job Description

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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