

Visionary Innovative Technology Solutions LLC
Sr. Snowflake Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Snowflake Data Engineer in Jersey City, NJ, requiring 7–8+ years in Data Engineering, strong financial services experience, and expertise in Snowflake, SQL, dbt, Python, Airflow, and Kubernetes. Long-term contract; onsite only.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 30, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Jersey City, NJ
-
🧠 - Skills detailed
#SQL (Structured Query Language) #Data Transformations #Data Modeling #Complex Queries #Kubernetes #Python #Snowflake #Scala #dbt (data build tool) #Data Processing #"ETL (Extract #Transform #Load)" #Airflow #Data Engineering #Deployment #Data Architecture #Apache Airflow
Role description
Job Title: Sr. Snowflake Data Engineer (Finance or banking domain)
Location: Jersey City, NJ – 4 Days onsite role local only
Long Term Project
Job Summary: We are seeking an experienced Senior Data Engineer with strong financial domain experience to design, build, and manage scalable data platforms. The ideal candidate will have deep hands-on expertise with Snowflake, dbt, Python, Airflow, Kubernetes, and SQL, along with a solid understanding of data architecture and design principles. This role requires someone who can work independently, take ownership of deliverables, and collaborate effectively with both technical and business stakeholders.
Required Skills & Qualifications:
• 7–8+ years of hands-on experience in Data Engineering or related roles.
• Strong experience working in the financial services domain (banking, capital markets, risk, finance, or similar).
• Extensive hands-on experience with Snowflake in production environments.
• Strong expertise in SQL (complex queries, performance optimization, analytical patterns).
• Experience building and managing data transformations using dbt.
• Proficient in Python for data processing and orchestration.
• Hands-on experience with Apache Airflow for workflow orchestration.
• Working knowledge of Kubernetes and containerized deployments.
• Solid understanding of data modeling, data warehousing, and data architecture concepts.
• Experience working independently and owning end-to-end delivery.
• Strong problem-solving and analytical skills.
Job Title: Sr. Snowflake Data Engineer (Finance or banking domain)
Location: Jersey City, NJ – 4 Days onsite role local only
Long Term Project
Job Summary: We are seeking an experienced Senior Data Engineer with strong financial domain experience to design, build, and manage scalable data platforms. The ideal candidate will have deep hands-on expertise with Snowflake, dbt, Python, Airflow, Kubernetes, and SQL, along with a solid understanding of data architecture and design principles. This role requires someone who can work independently, take ownership of deliverables, and collaborate effectively with both technical and business stakeholders.
Required Skills & Qualifications:
• 7–8+ years of hands-on experience in Data Engineering or related roles.
• Strong experience working in the financial services domain (banking, capital markets, risk, finance, or similar).
• Extensive hands-on experience with Snowflake in production environments.
• Strong expertise in SQL (complex queries, performance optimization, analytical patterns).
• Experience building and managing data transformations using dbt.
• Proficient in Python for data processing and orchestration.
• Hands-on experience with Apache Airflow for workflow orchestration.
• Working knowledge of Kubernetes and containerized deployments.
• Solid understanding of data modeling, data warehousing, and data architecture concepts.
• Experience working independently and owning end-to-end delivery.
• Strong problem-solving and analytical skills.






