Senior Data Engineer: Snowflake & AI-Ready Data (Hybrid)

Energy Jobline ZR

Jersey City (NJ)

Hybrid

USD 120,000 - 160,000

Full time

14 days+

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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

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

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