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

Data Engineer

We are Hiring – Data Engineer (1–3 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

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Job Overview

We are seeking a talented and motivated Data Engineer to join our IT Software team in New York, NY. This is an excellent opportunity for someone looking to enhance their career in the realm of Big Data and Data Warehousing, with a competitive salary range of $75,000 - $85,000 per year. The role is open to US Citizens, Green Card holders, H4, L2, STEM, and OPT individuals, and offers both permanent W2 and contract W2 employment options. Our company is a leader in the IT Software and Services industry, making this an exciting opportunity to contribute and grow professionally.

Job Roles & Responsibilities

As a Data Engineer, you will be responsible for managing and organizing data, while conducting research to discover innovative ways to optimize data usage. You will play a vital role in the development, testing, and maintenance of our data systems. Your contributions will help shape the future of our data infrastructure and data strategy.

Salary

The salary for this position is competitive, falling in the range of $75,000 to $85,000 per year. This salary range is reflective of the key role that a Data Engineer plays in our organization, and we ensure that our employees are well compensated for their skills and expertise.

Qualifications

• 1-3 years of experience in IT Software
• Proficiency in Data Stage, Java, SQL, Python, Big Data, and Data Warehouse
• Eligible work statuses include US Citizen, Green Card, H4, L2, STEM, and OPT

Skills

• Data Stage: Implement and maintain data stages to manage data effectively.
• Java: Use Java for software development and data management tasks.
• SQL: Write and optimize SQL statements for data query and manipulation.
• Python: Use Python scripts for automating tasks and data analysis.
• Big Data: Work with large data sets, ensuring data is clean and usable.
• Data Warehouse: Manage and maintain data warehouse systems for data storage and analysis.