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AI Summary
Join BeaconFire as a Senior Data Engineer to design, build, and maintain scalable ETL/ELT processes, data transformation systems, and reporting pipelines. Collaborate with analytics teams to deliver reliable data solutions while ensuring high-quality, automated data workflows. Requires a Master’s in Computer Science/IT or related field, intermediate Python, and strong SQL expertise.
Key Highlights
Design and implement scalable ETL/ELT processes for business data demands
Collaborate with analytics teams to solve data challenges and improve workflows
Build automated unit tests, frameworks, and utilities for data pipelines
Searching for Data Science roles that provide visa sponsorship? Connect with international employers through Data Science Jobs with Visa Sponsorship opportunities actively seeking talented professionals.
Key Responsibilities
Collaborate with the analytics team to identify and implement reliable data solutions for business needs
Design and implement scalable ETL or ELT processes to support business data 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
Build and integrate automated unit tests while participating in integration testing efforts
Troubleshoot and resolve operational and performance issues in data pipelines
Ensure adherence to engineering best practices and quality standards in collaboration with architecture/engineering leads
Technical Skills Required
Explore our comprehensive directory of visa sponsorship jobs from employers worldwide who are ready to sponsor talented international professionals.
Benefits & Perks
$62,000.00 to $80,000.00 annual compensation
Work visa sponsorship available
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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