Senior Data Engineer in Jersey City

Energy Jobline ZR; Jersey City (NJ); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Energy Jobline ZR is seeking a Senior Data Engineer to design and deliver Snowflake-centered data solutions for analytics, operational reporting, and AI-ready foundations. You will work across data modeling, pipeline automation, and secure cloud data architecture to enable trusted data at scale.

The ideal candidate has hands-on experience with Python, SQL, AWS, and modern data warehousing practices, with responsibilities spanning ETL/ELT pipelines, performance optimization, and data quality

Qualifications

• Experience designing Snowflake-centered data solutions.
• Hands-on with Python and SQL.
• Strong AWS and modern data warehousing practices.
• Ability to build reliable ETL/ELT pipelines.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines and Snowflake data warehouse solutions.
• Develop Python and SQL transformations for structured and semi-structured data.
• Implement Snowflake architecture patterns to improve performance and cost control.
• Leverage AWS services for storage, orchestration, and data integration.
• Create and refine data models for analytics and AI/ML-ready datasets.
• Monitor pipeline health and troubleshoot data quality issues.
• Improve deployment practices to reduce failures and ensure stability.

Skills

Snowflake

Snowpark

Python

SQL

ETL/ELT Pipelines

Data Modeling

AWS

Data Warehousing

Cloud Data Platform

Tools

Snowflake

Snowpark

AWS

Python

SQL

Job description

Job Description

Job Title: Senior Data Engineer

Location: Hudson Street, NJ (Hybrid)

Duration: 12 Months+

Interview mode: Face to face (Mandatory)

Role Summary

We are looking for an experienced Senior Data Engineer to design and deliver Snowflake-centered data solutions supporting analytics, operational reporting, and AI-ready data foundations.

The ideal candidate should have strong hands-on experience with Python, SQL, AWS, and modern data warehousing practices. The role involves building reliable ETL/ELT pipelines, optimizing performance and cost, and improving the quality and usability of enterprise data assets.

You will work across data modeling, pipeline automation, and secure cloud data architecture to help teams consume trusted data at scale.

Key Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines and Snowflake data warehouse solutions.
• Develop Python and SQL transformations for structured and semi-structured data.
• Implement Snowflake architecture patterns, including Snowpark-based processing, to improve performance, cost control, and secure data access.
• Leverage AWS services and cloud data architecture practices for storage, orchestration, and data integration.
• Create and refine data models supporting analytics and AI/ML-ready datasets.
• Monitor pipeline health and troubleshoot data quality and runtime issues.
• Improve automation and deployment practices to reduce failures and ensure operational stability.

Must-Have Skills

• Cloud Data Platform & Warehousing: Snowflake, Data Warehousing, Snowflake Snowpark.
• Programming & Query : Python, SQL.
• Data Engineering: ETL/ELT Pipelines, Data Modeling.
• Cloud Platform: AWS.