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Senior Data Engineer (ETL/ELT, Data Pipelines)

BeaconFire Inc. • United State
Visa Sponsorship
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Join BeaconFire Inc. as a Senior Data Engineer to design, build, and maintain scalable ETL/ELT processes, data transformation systems, and integrations. Collaborate with analytics teams to solve business data challenges while ensuring high-quality, automated solutions. Requires a Master’s degree in CS/IT/Data Science, intermediate Python, and strong SQL expertise with a passion for data-driven problem-solving.

Key Highlights
Design and implement scalable ETL/ELT processes to meet business data demands
Collaborate with analytics teams to deliver reliable data solutions
Build automated unit tests and frameworks for data flow optimization
Key Responsibilities
Collaborate with analytics teams to identify and implement reliable data solutions for business needs
Design and implement scalable ETL or ELT processes to support data-driven business demands
Perform data extraction, transformation, and loading from relational databases to production systems
Develop utilities, user-defined functions, and frameworks to optimize data flow patterns
Create and integrate automated unit tests while participating in integration testing efforts
Troubleshoot and resolve operational and performance issues across data pipelines
Ensure adherence to engineering best practices and quality standards in collaboration with architecture/engineering leads
Technical Skills Required
Python SQL Data Processing
Benefits & Perks
$62,000 – $80,000 annual compensation
Visa sponsorship available
E-Verified company with equal employment opportunities

Job 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.)

● Strong written and verbal communication skills.

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