Lead Data Engineer

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. Interested candidates are encouraged to apply with their updated resume.