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AI Summary
Build and maintain scalable data pipelines, ETL/ELT processes, and data transformation systems to support business analytics. Collaborate with cross-functional teams to ensure high-quality, reliable data solutions while adhering to engineering best practices. Requires a master’s degree in a relevant field, intermediate Python, and strong SQL expertise.
Key Highlights
Design and implement scalable ETL/ELT processes to meet business data demands
Collaborate with analytics teams to solve data challenges and improve data flow
Build automated testing frameworks and resolve operational/performance issues
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, manipulation, and production from database tables to ensure data accuracy and availability
Develop utilities, user-defined functions, and frameworks to optimize data flow patterns
Build and integrate automated unit tests, and participate in integration testing efforts
Troubleshoot and resolve operational and performance issues in data systems
Work with architecture/engineering leads to ensure quality solutions and adherence to engineering best practices
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 – $80,000/year
Visa sponsorship available
E-Verified company with equal employment opportunities
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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