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

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 actively looking for a skilled Data Engineer to join our IT Software team in New York, NY. This is an incredible opportunity for a talented and motivated professional to work on critical data projects, leverage big data technologies, and enhance our data warehousing capabilities. Applicants must be eligible to work in the USA.

Job Roles & Responsibilities

• Develop, test, and maintain data architectures in line with company goals
• Use of Data Stage for the design and execution of data extraction, transformation, and load (ETL) jobs
• Work with team members to design and implement data solutions
• Improve data quality and efficiency by developing and implementing scripts, automation, and workflows
• Ensuring the data design and implementation meet company standards and business requirements

Salary

The salary for this position ranges from $85,000 - $95,000 yearly, depending on experience and qualifications. This position can either be W2-Permanent or W2-Contract and is full time.

Qualifications

• 1-3 years of experience in IT Software or related field
• Bachelor’s degree in Computer Science, IT, or related field preferred
• Valid US work permits such as US Citizen, Green Card, H4, L2, STEM, OPT

Skills

• Data Stage: Experience designing and executing ETL jobs
• Java: Proficient in software development using this language
• SQL: Expert in structured query language for managing data
• Python: Skilled in using Python for scripting and automation
• Big Data: Knowledge of big data technologies and applications
• Data Warehouse: Experience in building and managing data warehouses