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Data Engineer

BeaconFire Inc. • United State
Visa Sponsorship
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BeaconFire Inc. seeks a Data Engineer in Central NJ to build, maintain, and operate data integrations, reporting pipelines, and transformation systems. Key responsibilities include designing scalable ETL/ELT processes, performing data manipulation, and collaborating with analytics teams. Requires a Master's degree, intermediate Python, SQL database experience, and strong communication skills.

Key Highlights
Build and maintain data integrations, reporting pipelines, and transformation systems.
Design and implement scalable ETL/ELT processes.
Collaborate with analytics teams to meet business needs.
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 Data Processing
Benefits & Perks
$62,000 – $80,000/year
Visa sponsorship is available
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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