Full-time
Entry Level- Data Engineer
$62K/yr – $80K/yr
Perform data extraction, manipulation, and production from database tablesIT & TechnologyPosted 21d ago
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Role overview
Job type
Salary
$62K/yr – $80K/yr
Sector
Posted
21 days ago
Job description
BeaconFire is hiring an entry-level data engineer to build, maintain, and operate integrations, reporting pipelines, and data transformation systems. The role supports business data needs through scalable data processes, testing, and collaboration with analytics, architecture, and engineering teams.
Tags
Artificial Intelligence (AI)
Information Technology
Cloud Computing
Manufacturing
IT Infrastructure
Machine Learning
Hiring Manager
Sukhdev R.
Insider Connection @BeaconFire Inc.
2 email credits available today
Beyond your network
Chloe Y & 4 connections
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
Preferred
Experience in data processing is a plus. (Numpy, Pandas, etc)
Benefits
Visa sponsorship is available for eligible candidates.
BeaconFire is a leading technology consulting and professional services organization.
Windsor, New Jersey, USA
https://beaconfireinc.com
Distribution of Different Job Fields Receiving Sponsorship
89
Represents job field similar to this job
Engineering and Development
Management and Executive
Marketing
Human Resources
Customer Service and Support
Accounting and Finance
Creatives and Design
Legal and Compliance
Trends of Total Sponsorships
*2026
(121)
2025
2024
(63)
2023
(34)
2022
(40)
2021
(15)
2020
(1)
Late Stage
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 with relational databases (SQL Server, Oracle, MySQL, etc.)
Strong written and verbal communication skills
Ability to work both independently and as part of a team
Experience in data processing is a plus. (Numpy, Pandas, etc)
Required skills
Python, NumPy, Pandas, Relational Databases, SQL Server, Oracle, MySQL, Data Processing
Experience
Entry level
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