Snowflake Engineer

Experis Technology Group; New Providence (NJ); Remote; USD 96,000 - 103,000; Full time

Job summary

Experis Technology Group is seeking a Senior Data Engineer with strong Snowflake, SQL, Python, and enterprise data warehouse experience. You will design, develop, and optimize scalable data solutions and pipelines across the enterprise.

The role is 100% remote, focusing on cross-functional collaboration and delivering data-informed insights. Ideal candidates have 8+ years in data engineering, hands-on Snowflake, and proficiency with Azure Data Factory and workflow schedulers like Airflow,

Qualifications

• 8+ years of data engineering experience.
• Strong Snowflake and SQL/Python development.
• Experience with data warehouse design and data pipelines.
• Familiarity with metadata management and data lineage.

Responsibilities

• Design, develop, and maintain scalable enterprise data warehouse solutions using Snowflake.
• Build and optimize complex SQL queries, data models, and data pipelines.
• Develop data engineering solutions using Python and SQL.
• Work with Azure Data Factory and Azure data services for data integration.
• Build, manage, and optimize workflows using Airflow, Informatica, or Automic.
• Perform SQL performance tuning and troubleshoot data pipeline issues.
• Implement and maintain metadata management, data lineage, and data governance practices.
• Collaborate with cross-functional teams to support enterprise data initiatives.

Skills

SQL

Python

Data warehousing

ETL pipelines

Data governance

Metadata management

Tools

Snowflake

Azure Data Factory

Airflow

Informatica

Automic

Job description

We are seeking an experienced Senior Data Engineer with strong hands-on expertise in Snowflake, SQL, Python, and enterprise data warehouse development. The ideal candidate will have extensive experience designing, developing, and optimizing scalable data solutions and enterprise data pipelines.

Position Details

Job Title: Senior Data Engineer
Contract: 12+ Months
Location: 100% Remote
Pay Rate: $70- $75 /hr on W2
Eligible States: Pennsylvania (PA), New Jersey (NJ), and New York (NY)

Key Responsibilities

• Design, develop, and maintain scalable enterprise data warehouse solutions using Snowflake.
• Build and optimize complex SQL queries, data models, and data pipelines.
• Develop data engineering solutions using Python and SQL.
• Work with Azure Data Factory and Azure data services for data integration and pipeline orchestration.
• Build, manage, and optimize workflows using Airflow, Informatica, or Automic.
• Perform SQL performance tuning and troubleshoot data pipeline issues.
• Implement and maintain metadata management, data lineage, and data governance practices.
• Collaborate with cross-functional teams to support enterprise data initiatives.

Required Qualifications

• 8+ years of overall Data Engineering experience.
• 5+ years of hands-on experience with Snowflake.
• Strong proficiency in SQL and Python development.
• Extensive experience in Snowflake Data Warehouse design and development.
• Hands-on experience with Azure Data Factory / Azure Data Framework.
• Experience with workflow orchestration tools such as Airflow, Informatica, or Automic.
• Strong understanding of SQL performance tuning and data pipeline optimization.
• Knowledge of metadata management and data lineage.

Preferred Qualifications

• Experience working with Pharma data.
• Exposure to Omnichannel data and related enterprise data platforms.