Data Engineer (New York City Metropolitan Area)
BeaconFire Inc.
Data Engineer (Entry-Level)
Location: Hybrid/On-site based on client
Employment Type: Full-Time
Visa Sponsorship Available | E-Verified Employer
About BeaconFire
BeaconFire is a technology consulting company based in Central New Jersey, specializing in Software Development, Data Engineering, Cloud Solutions, and Business Intelligence. We are passionate about helping early-career engineers launch successful careers through mentorship, hands-on project experience, and continuous learning.
If you're passionate about data, enjoy solving problems, and are eager to grow as a Data Engineer, we'd love to hear from you!
What You'll Do
- Design, develop, and maintain scalable ETL/ELT data pipelines.
- Extract, transform, and analyze data from relational databases.
- Develop data processing solutions using Python and SQL.
- Collaborate with engineering and analytics teams to deliver reliable data solutions.
- Build reusable utilities and data frameworks to improve workflow efficiency.
- Participate in testing, debugging, and performance optimization.
- Learn and apply software engineering best practices in a collaborative team environment.
What We're Looking For
- Master's degree in Computer Science, Information Systems, Data Science, Data Analytics, or a related field.
- Strong knowledge of Python.
- Experience with SQL and relational databases (MySQL, SQL Server, PostgreSQL, Oracle, etc.).
- Familiarity with data processing libraries such as Pandas or NumPy is a plus.
- Strong analytical, problem-solving, and communication skills.
- Self-motivated, eager to learn, and able to work effectively in a team environment.
Why Join BeaconFire?
- New Grad Friendly
- Structured onboarding and mentorship
- Hands-on experience with real-world client projects
- Career growth and technical development opportunities
- Collaborative and supportive engineering culture
- E-Verified employer with employment-based visa sponsorship available for qualified candidates
If you're ready to start your career in Data Engineering and work with a team that values learning, collaboration, and innovation, we encourage you to apply today!
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