Data Engineer NJ PP Jobs in New York, NY at Top Level Consultancy

Hi Job Seeker

Data Engineer   We are Hiring – Data Engineer (1-2  Years Experience)    Looking for skilled Data Engineers to build and optimize scalable data pipelines and architectures.   Must have: SQL, Python, ETL, Data Warehousing, Cloud (AWS/Azure/GCP) Good to have: Big Data tools (Spark/Hadoop), Airflow, AI/ML integration   Role Highlights:  Design & maintain reliable data pipelines  Ensure high-quality, clean, and secure datasets  Collaborate with data scientists & business teams for analytics/AI solutions.

Job Overview

We are seeking a highly skilled and motivated Data Engineer to join our dynamic team in New York, NY. This is an incredible opportunity to work in the exciting field of IT Software / Services. The successful candidate will have the opportunity to work on challenging projects and develop their skills in a range of areas including Data Stage, Java, SQL, Python, Big Data and Data Warehouse.

Job Roles & Responsibilities

• Design, develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume.
• Work in collaboration with the team to design and build data models that support business processes.
• Participate in the creation of a technical roadmap that will align with the goals of the business.

Salary

The salary range for this position is $88,000 - $118,000 yearly, and it comes with an attractive benefits package. The exact salary will be determined by the candidate's qualifications and experience.

Qualifications

• 0-2 years of experience in the field of IT Software.
• US Citizenship or Green Card Holder.
• Experience with W2-Permanent, W2-Contract, 1099-Contract, Contract to Hire, Full Time roles.

Skills

• Data Stage: Ability to manage and manipulate large data sets.
• Java: Experience in software development using Java.
• SQL: Proficient in querying databases and managing data.
• Python: Experience with Python coding and scripting.
• Big Data: Familiarity with Big Data tools and technologies.
• Data Warehouse: Understanding of data warehousing concepts and technologies.