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Data Engineer

BeaconFire Inc. • United State
Visa Sponsorship
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BeaconFire Inc. is seeking a Data Engineer to build, maintain, and operate integrations, reporting pipelines, and data transformation systems. The role involves collaborating with analytics teams, designing scalable ETL/ELT processes, and resolving operational issues. Candidates should have a Master's degree in a related field, intermediate Python skills, and experience with relational databases.

Key Highlights
Design and implement scalable ETL/ELT processes
Collaborate with analytics team to meet business needs
Build utilities and frameworks for data flow patterns
Key Responsibilities
Collaborate with the analytics team to find reliable data solutions to 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 better enable data flow patterns.
Build and incorporate automated unit tests, 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
Salary: $62,000 - $80,000/year
Visa sponsorship available
E-Verified company
Nice to Have
Experience in data processing (Numpy, Pandas, etc.)

Job Description

JOB DESCRIPTION:

Title: Data Engineer

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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