Senior Data Engineer; Banking

Overview

Job Title: Senior Data Engineer (Banking)

Location: New York City, NY

Position type: W2 contract

Mandatory skills: Data engineer, Snowflake, Databricks, Python, PySpark, SQL, Banking

• Design and develop robust ETL/ELT pipelines using Snowflake, Databricks, Python, PySpark, and SQL.
• Build and optimize data warehouses, data marts, and real-time data solutions for banking applications.
• Collaborate with quantitative analysts, data scientists, and business stakeholders to deliver actionable data products.
• Implement data governance, quality checks, and monitoring frameworks aligned with banking regulations (SOX, GDPR, CCAR).
• Mentor junior engineers and contribute to architectural decisions and best practices.
• 9+ years of hands-on data engineering experience, with 3+ years in banking/financial services.
• Expertise in Snowflake (SnowSQL, performance tuning, security) and Databricks (Delta Lake, Spark optimization).
• Proficiency in Python and PySpark for large-scale data processing.
• Advanced SQL skills for complex data modeling and query optimization.
• Experience with cloud platforms (AWS/Azure) and CI/CD tools (Jenkins, Git).
• Strong understanding of banking data domains: trading, risk, compliance, customer, transactions.

Experience: 9+ years of hands-on data engineering experience, with 3+ years in banking/financial services.

Technical: Snowflake (SnowSQL, performance tuning, security);
Databricks (Delta Lake, Spark optimization);
Python and PySpark; advanced SQL; cloud platforms (AWS/Azure); CI/CD tools (Jenkins, Git).

• Snow Pro, Databricks Certified, AWS/Azure Cloud.
• Knowledge of real-time streaming (Kafka, Spark Streaming).
• Experience with data orchestration tools (Airflow, Dagster).
• Familiarity with BI/visualization tools (Tableau, Power BI).