Data Engineer

BeaconFire Inc. is hiring a Junior Data Engineer to support the development and maintenance of scalable data pipelines and transformation systems. The role collaborates with analysts and engineers to deliver data solutions that support business insights and decision-making.

Responsibilities

• Collaborate with analytics and engineering teams to understand and deliver data solutions
• Design and implement scalable ETL/ELT pipelines
• Extract, clean, and manipulate data from SQL databases (SQL Server, MySQL, Oracle, etc.)
• Write and maintain Python scripts for data processing ( Pandas , NumPy )
• Develop UDFs , utilities, and reusable code for automation and optimization
• Participate in testing, troubleshooting, and performance tuning
• Follow engineering best practices and contribute to improving data quality and reliability

Preferred

• Exposure to ETL tools (Airflow, DBT, etc.)
• Familiarity with cloud platforms like AWS, Azure, or GCP
• Understanding of data warehousing concepts
• Knowledge of DevOps practices or CI/CD for data
• ETL tools
• Apache Airflow
• dbt
• AWS
• Microsoft Azure
• Google Cloud Platform (GCP)
• Data warehousing
• DevOps practices
• CI/CD for data

Benefits

• 🌐 Work visa sponsorship available (H-1B, STEM OPT, etc.).
• Real career growth.
• Work visa sponsorship available (H-1B, STEM OPT, etc.).
• Hands-on mentorship and learning from experienced engineers.
• Access to real-world projects and modern tech stacks.
• Supportive, collaborative work culture.
• Hybrid/On-site work arrangement in Central New Jersey.

Company

• Technology consulting and professional services for digital transformation
• Windsor, New Jersey, USA
• https://beaconfireinc.com/
• 501-1000 employees

Qualifications

• Master's Degree in Computer Science , Information Technology , Data Analytics , or related field
• Proficiency in Python (intermediate level), with exposure to data libraries like Pandas , NumPy , etc
• Experience working with relational databases and writing SQL queries
• Strong communication skills — verbal and written
• Self-motivated and comfortable working in both team and individual settings
• Exposure to ETL tools (Airflow, DBT, etc.)
• Familiarity with cloud platforms like AWS, Azure, or GCP
• Understanding of data warehousing concepts
• Knowledge of DevOps practices or CI/CD for data

Required skills

• Python, SQL, Pandas, NumPy, Airflow, dbt, AWS, Microsoft Azure, Google Cloud Platform, Data Warehousing, CI/CD

Preferred skills

• Exposure to ETL tools (Airflow, DBT, etc.), Familiarity with cloud platforms like AWS, Azure, or GCP, Understanding of data warehousing concepts, Knowledge of DevOps practices or CI/CD for data

Experience

• Entry level