Senior Data Engineer

Anagh Technologies Inc; Rutherford (NJ); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Anagh Technologies Inc is seeking a Senior Data Engineer in Rutherford, NJ (Hybrid: 3 days onsite). Virtual interview option with local candidates preferred and relocation possible. Level: C13 Senior.

You will design scalable data pipelines, model data, and enable AI/ML analytics initiatives using Python, Spark, and modern data platforms. Ideal candidates will have strong data modeling, SQL, and Python skills, plus experience with data warehouses or data lakes in enterprise environments.

Qualifications

• Strong data modeling experience.
• Advanced SQL skills.
• Hands-on Python programming.
• Experience with Spark for large-scale data processing.
• Familiarity with data warehouses and data lakes.

Responsibilities

• Design and develop scalable data pipelines and data solutions.
• Create and maintain logical and physical data models.
• Develop data processing frameworks using Python and Spark.
• Optimize data performance, quality, and governance.
• Collaborate with application and business teams to understand data requirements.
• Support AI/ML and analytics initiatives.
• Work with data warehouses and data lakes in enterprise environments.

Skills

Data Modeling

SQL

Python

Spark

Data Warehouse / Data Lake

Job description

Job Description

Location: Rutherford, NJ - Hybrid, 3 days/week onsite

Interview: Virtual

Preference: Local candidates preferred; open to relocation

Level: C13 Senior

We are seeking a Senior Data Engineer with strong experience in data modeling, SQL, Python, and Spark to design and develop scalable enterprise data solutions.

Key Responsibilities

• Design and develop scalable data pipelines and data solutions.


• Create and maintain logical and physical data models.


• Develop data processing frameworks using Python and Spark.


• Optimize data performance, quality, and governance.


• Collaborate with application and business teams to understand data requirements.


• Support AI/ML and analytics initiatives.


• Work with data warehouses and data lakes in enterprise environments.

Required Skills

• Strong Data Modeling experience


• Advanced SQL


• Strong Python


• Data Warehouse / Data Lake

Preferred Skills

• GenAI


• Google ADK


• ETL Frameworks

Ideal Candidate:

Senior Data Engineer with strong data modeling and hands-on Python/Spark experience, preferably with exposure to cloud, AI/ML, and modern data platforms.