Senior Data Engineer on W2

🚨 Hiring: Senior Data Engineer – 12+ Years of Experience

📍 Location: New York, NY
⏳ Duration: Long-term
💼 Experience: 12+ Years

We are looking for an experienced Data Engineer to design, build, and operate data pipelines and models that power analytics and downstream applications.

🔑 Required Skills

✅ Databricks
✅ PySpark
✅ SQL
✅ Snowflake
✅ Airflow
✅ Data Modeling
✅ Git / CI/CD

📌 Responsibilities

• Build and maintain batch and incremental data pipelines using PySpark on Databricks
• Orchestrate and monitor workflows using Airflow
• Design dimensional and domain data models in Snowflake
• Develop integration pipelines across source systems, lakehouse, and consuming applications
• Implement data quality checks, lineage, and documentation
• Optimize performance and cost across Spark clusters and Snowflake warehouses
• Collaborate with analysts, application teams, and platform engineers to deliver reliable datasets

🎯 Required Qualifications

• 12+ years of Data Engineering experience
• Strong PySpark and SQL skills
• Hands-on experience with Databricks, Delta Lake, Jobs, and Workflows
• Hands-on experience with Snowflake, including performance tuning and access control
• Production experience with Airflow
• Strong understanding of data modeling, including Star/Snowflake schemas and SCDs
• Experience with Git-based CI/CD for data engineering code

⭐ Nice to Have

• Experience working with unstructured/semi-structured document data
• Terraform / Infrastructure-as-Code experience
• Cloud experience with Azure or AWS
• Streaming or CDC experience