Senior Snowflake Data Engineer - Build Data Solutions

Apexon; Parsippany-Troy Hills (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

Apexon is seeking a Senior Snowflake Data Engineer in New Jersey to design, develop, and optimize enterprise-scale data solutions. You will own Snowflake implementations and drive SQL performance tuning within the SDLC.

Ideal candidates bring 8+ years in data engineering and 5+ years with Snowflake, plus strong Python and SQL skills, and experience with data warehousing, metadata management, and data lineage. Collaboration across teams is essential.

Qualifications

• Hands-on Snowflake design, development and optimization for enterprise data platforms.
• Experience with SQL, Python, data warehousing, and data orchestration tools.
• Strong proficiency in SQL analytics and data quality controls.
• Familiarity with metadata management and data lineage practices.
• Proven ability to optimize performance and troubleshoot production issues within SDLC.
• Experience with Git, Jira and Confluence for collaboration.

Responsibilities

• Design, develop, and maintain enterprise data solutions using Snowflake.
• Participate in the complete SDLC from requirements to deployment.
• Optimize SQL queries for performance, scalability, and reliability.
• Troubleshoot production issues and implement preventive measures.
• Collaborate with engineering teams to deliver high‑quality data solutions.
• Maintain data quality, metadata, and data lineage.

Skills

Snowflake

SQL

Python

Data warehousing

Data orchestration

Root cause analysis

Metadata management

Data lineage

Git

Jira

Confluence

SQL Analytical Functions

Tools

Airflow

Informatica

Automic

Job description

Apexon is seeking a Senior Snowflake Data Engineer in New Jersey to design, develop, and optimize enterprise-scale data solutions. You will own Snowflake implementations and drive SQL performance tuning within the SDLC.

Ideal candidates bring 8+ years in data engineering and 5+ years with Snowflake, plus strong Python and SQL skills, and experience with data warehousing, metadata management, and data lineage. Collaboration across teams is essential.